Phineas Gage: His Accident and Impact on Psychology

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

Learn about our Editorial Process

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, Ph.D., is a qualified psychology teacher with over 18 years experience of working in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

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Key Takeaways

  • In 1848, 25-year-old Phineas Gage survived an accident where an iron rod was propelled through his left cheek and skull. He made an improbable recovery and lived for 12 more years.

Examination of Gage’s exhumed skull in 1867 revealed the probable trajectory of the tamping iron through left frontal lobe structures, offering insight into his improbable survival and selective changes in behavior following this massive traumatic brain injury.

  • Gage’s case is famous in psychology as it shows the resilience of the human brain and profoundly influenced early understanding of cerebral localization.

What happened to Phineas Gage?

Phineas Gage was an American railroad construction foreman born in 1823 near Lebanon, New Hampshire.

On September 13, 1848, when Gage was 25 years old, he was working in Cavendish, Vermont, leading a crew preparing a railroad bed for the Rutland and Burlington Railroad by blasting away rock using explosives.

Around 4:30 pm, as Gage was using a 43-inch-long, 13-pound iron tamping rod to pack the explosive powder into a hole in the rock, the powder detonated unexpectedly.

The tamping iron launched from the hole and entered the left side of Gage’s face from the bottom up.

The iron rod entered Gage’s left cheek near the lower jaw hinge, passing behind his left eye socket, penetrating the base of his skull, traversing the left frontal lobe upwards at an angle, and exiting through the top frontal portion of his skull before landing about 25-30 yards behind him.

After the incident, Gage was thrown onto his back from the force of the iron rod and had some brief convulsions of the arms and legs.

Within minutes, however, assisted by his crew, Gage could stand, speak, and walk to an oxcart to be transported nearly a mile to the inn where he resided in Cavendish village.

Dr. Edward H. Williams arrived about an hour later to examine Gage. In his 1848 report, Williams noted visible pulsations of Gage’s exposed brain through an inverted funnel-shaped opening at the top of his skull from which brain tissue protruded.

Williams claimed that Gage was recounting his injuries to bystanders, and he did not initially believe the story, thinking that Gage was ‘deceived.’

Apparently, Gage had greeted Williams by angling his head at him and saying, ‘Here’s business enough for you.’

During repeated episodic vomiting, Williams observed additional small amounts of Gage’s brain matter expelled onto the floor through the frontal exit wound, as the cerebral tissue had likely detached from the skull during the passage of the tamping iron.

From Harlow’s written account, Gage was considered to be fully recovered and felt fit enough to reapply for his previous role as a foreman.

After an arduous early recovery, Gage eventually regained physical health, though his personality was markedly altered. He lived another 11 years before dying from severe epilepsy in 1860 at age 36.

How Did Phineas Gage’s Personality Change?

The descriptions of Gage’s personality and behavior before the accident are limited.

Before his accident, 25-year-old Gage was described by his railroad employers as a capable and efficient foreman, displaying a strong work ethic, drive, and dependability in overseeing his crews.

However, after surviving passage of the tamping iron through his frontal lobe in 1848, significant changes in Gage’s personality emerged during his physical recovery.

The contractors, who had regarded Gage as ‘efficient and capable’ before the accident, could no longer offer him work due to considerable changes in Gage’s personality.

In medical reports by Dr. John Martyn Harlow in 1848 and 1868, Gage is depicted as struggling with volatility, profanity, little deference for others, impatience, obstinance, unpredictability, and devising plans hastily abandoned.

Harlow wrote that Gage’s equilibrium between intellectual faculties and animal propensities was destroyed, reverting to childlike mental capacity regarding self-restraint and social appropriateness.

Though the specific neuroanatomical links were unclear at the time, Friends and colleagues felt Gage was “no longer Gage” after the traumatic brain injury, unable to process emotions or control impulsive behavior like his pre-accident self.

The shocking changes aligned with emerging localization theories that the frontal lobes regulate personality.

Marlow (1868) described Gage as follows:

“The equilibrium or balance, so to speak, between his intellectual faculties and animal propensities, seems to have been destroyed. He is fitful, irreverent, indulging at times in the grossest profanity (which was not previously his custom), manifesting but little deference for his fellows, impatient of restraint or advice when it conflicts with his desires, at times pertinaciously obstinate, yet capricious and vacillating, devising many plans of future operations, which are no sooner arranged than they are abandoned in turn for others appearing more feasible. A child in his intellectual capacity and manifestations, he has the animal passions of a strong man.”
“Previous to his injury, though untrained in the schools, he possessed a well-balanced mind, and was looked upon by those who knew him as a shrewd, smart business man, very energetic and persistent in executing all his plans of operation. In this regard his mind was radically changed, so decidedly that his friends and acquaintances said he was ‘no longer Gage.”

Through Harlow’s reports, it can be suggested that Gage’s personality changed due to the accident he endured.

The accounts imply that the injury led to a loss of social inhibition, meaning that Gage would behave in ways that were considered inappropriate.

Accuracy of Sources

In his 1848 and 1868 reports, Dr. Harlow provides a limited description of Gage’s pre-accident, stating he was “temperate inhabit, of great energy of character, possessed of considerable stamina of both brain and body” and was “a great favorite” with his men (Harlow, 1848, 1868).

However, later accounts add exaggerated positive traits not found in Harlow’s description. For example, Suinn (1970) describes Gage as enjoying “the respect as well as the favor of his men,” while Myers (1998) calls him “soft-spoken,” and Lahey (1992) says he was “polite and reasonable.”

Other sources paint him as friendly, affable, dependable, conscientious, and happy (Macmillan, 2000).

Similarly, post-accident descriptions often emphasize Gage’s negative qualities while ignoring any positive traits he retained.

Harlow documents personality changes but notes Gage remained employable for a period as a long-distance stagecoach driver in Chile (Harlow, 1868).

However, many accounts focus solely on traits like aggression, unreliability, or aimlessness (Macmillan, 2000). Damasio goes so far as to describe him as behaving violently with no self-control (Blakeslee, 1994).

In this way, later accounts tend to polish Gage’s pre-accident image as an upstanding citizen while presenting an almost cartoonishly perturbed version post-injury – neither in keeping with Harlow’s more nuanced clinical descriptions.

This likely reflects enthusiasm for fitting Gage’s case to localization theories. Macmillan (2000) argues that we must cautiously analyze such embellished personality descriptions when assessing Phineas Gage’s legacy.

Severity of Gage’s Brain Damage

When Gage died in 1861, no autopsies were performed until his skull was later recovered by Harlow years later. The brain damage that caused the significant personality changes was presumed to have involved the left frontal region of the brain.

It was not until 1994 that complex computer-based methods to examine brain damage could be used to investigate whether other areas of the brain were affected.

Phineas Gage brain image from Damasio et al. (1994)

Damasio et al. (1994) used measurements from Gage’s skull and neuroimaging techniques to determine the exact placement of the entry and exit point of the iron rod on a replica model (see Fig. 1).

They found that the damage caused by the rod involved both the left and right prefrontal cortices.

The left and right cortices are responsible for emotional processing and rational decision-making; therefore, it can be assumed that Gage had deficits in these areas.

Phineas Gage brain image from Ratiu et al., (2004)

A later study by Ratiu et al. (2004) also investigated Gage’s injury and the location of where the iron rod entered and exited the head. They used Gage’s actual skull rather than a model of it, as Damasio et al. (1994) had used.

Ratiu et al. (2004) generated three-dimensional reconstructions of the skull using computed tomography scans (CAT) and found that the extent of the brain injury was limited to the left frontal lobe only and did not extend to the right lobe (see Fig. 2).

Phineas Gage MRI brain image from Van Horn et al., (2012)

More recently, Van Horn et al. (2012) used a CAT scan of Gage’s skull as well as magnetic resonance imaging (MRI) data obtained from male participants of a similar age to Gage at the time (aged 25-36).

Their results supported Ratiu et al. (2004) in that they always concluded that the rod only damaged the left lobe and not the right.

Van Horn, however, went a step further in their research and investigated the potential levels of white and grey matter damaged due to Gage’s injury. White matter is deep in the brain and provides vital connections around the brain, essential to normal motor and sensory function.

Grey matter in the brain is essential to many areas of higher learning, including attention, memory, and thought.

The research by Van Horn proposed that Gage lost about 11% of his white matter and about 4% of his grey matter. White matter has the ability to regenerate, so this could explain why Gage recovered as well as he did.

Van Horn et al. (2012) compared Gage’s white matter damage to the damage that is caused by neurogenerative diseases such as Alzheimer’s.

This is supported by other studies that have found that changes in white matter is significantly associated with Alzheimer’s disease (Nasrabady, Rizvi, Goldman & Brickman, 2018; Kao, Chou, Chen & Yang, 2019).

It could be suggested that Gage’s apparent change in personality could have been the result of an early onset of Alzheimer’s.

However, as Dr. Harlow, who examined Gage, only reported on Gage’s behaviors shortly after his accident, rather than months or years later when Alzheimer’s symptoms may have emerged, we cannot be certain whether Gage actually had this condition.

All studies investigating the brain damage suffered by Gage is essentially all speculation as we cannot know for certain the extent of the accident’s effects.

We know that some brain tissue got destroyed, but any infections Gage may have suffered after the accident may have further destroyed more brain tissue.

We also cannot determine the exact location where the iron rod entered Gage’s skull to the millimeter. As brain structure varies from person to person, researchers cannot ever know for certain what areas of Gage’s brain were destroyed.

What Happened to Phineas Gage After the Brain Damage?

Dr. John Martyn Harlow took over Gage’s case soon after. Harlow (1848) reported that Gage was fully conscious and recognized Harlow immediately but was tired from the bleeding.

In the next couple of days, Harlow observed that Gage spoke with some difficulty but could name his friends, and the bleeding ceased. Gage then spent September 23rd to October 3rd in a semi-comatose state but was able to take steps out of bed by October 7th.

By October 11th, Harlow claimed Gage’s intellectual functioning began to improve. He recognized how much time had passed since the accident and could describe the accident clearly.

Four years after his injury, Gage moved to Chile and worked taking care of horses and being a stagecoach driver.

Harlow noted emerging personality changes in this period, with Gage becoming more erratic in behavior and responsibility.

In 1860, Gage moved to San Francisco to live near family but began suffering epileptic seizures – likely related to scar tissue and injury sequelae.

The convulsions worsened over months, and on May 21, 1861, almost 13 years after his shocking accident, Gage died at age 38 from complications of severe epilepsy.

How did Phineas Gage die?

On May 21st, 1861, twelve years after his accident, Gage died after having a series of repeated epileptic convulsions.

In 1867, Harlow arranged an exhumation of Gage’s body, claiming his skull and tamping iron for medical study.

These historic artifacts remain on display at the Harvard School of Medicine.

Though Gage initially survived, it was the secondary long-term effects of this massive brain injury that ultimately led to his premature death over a decade later.

Why Is Phineas Gage Important to Psychology?

Gage’s case is important in the field of neuroscience . The reported changes in his behavior post-accident are strong evidence for the localization of brain function , meaning that specific brain areas are associated with certain functions.

Neuroscientists have a better understanding of the function of the frontal cortex today. They understand that the frontal cortex is associated with language, decision-making, intelligence, and reasoning functions. Gage’s case became one of the first pieces of evidence suggesting that the frontal lobe was directly involved in personality.

It was believed that brain lesions caused permanent deficits in a person. However, Gage was proven to have recovered remarkably and lived a mostly normal life despite his injury. It was even suggested by a psychologist called Malcolm Macmillan that Gage may have relearned lost skills.

People with damage to their frontal lobes tend to have trouble completing tasks, get easily distracted, and have trouble planning.

Despite this damage to his frontal lobe, Gage was reported to have worked as a coach driver which would have involved Gage being focused and having a routine, as well as knowing his routes and multitasking.

Macmillan (2002), therefore, suggests that Gage’s damage to the frontal lobe could have somewhat repaired itself and recovered lost functions. The ability of the brain to change in this way is called brain plasticity .

Over time, Gage’s story has been retold, and this has sometimes led to a lot of exaggeration as to the personality changes of Gage.

Some popular reports described him as a hard-working, kind man prior to the accident and then described him as an aggressive, dishonest, and drunk man who could not hold down a job and died pennilessly.

Gage’s story seemed to take on a life of its own, and some even went as far as to say that Gage became a psychopath after his accident, without any facts behind this.

From the actual reports from the people in contact with Gage at the time, it appears that his personality change was nowhere near as extreme and that Gage was far more functional than some reports would have us believe (Macmillan, 2002).

Blakeslee, S. (1994, July 6). A miraculous recovery that went wrong . New York Times.

Damasio, H., Grabowski, T., Frank, R., Galaburda, A. M., & Damasio, A. R. (1994). The return of Phineas Gage: clues about the brain from the skull of a famous patient . Science, 264 (5162), 1102-1105.Harlow J. M. (1848). Passage of an iron rod through the head. Boston Medical and Surgical Journal, 39 , 389–393.

Harlow, J. M. (1868). Recovery from the Passage of an Iron Bar through the Head . Publications of the Massachusetts Medical Society. 2 (3), 327-347.

Kao, Y. H., Chou, M. C., Chen, C. H., & Yang, Y. H. (2019). White matter changes in patients with Alzheimer’s disease and associated factors . Journal of Clinical Medicine, 8 (2), 167.

Lahey, B. B. (1992). Psychology: An introduction . Wm. C. Brown Publishers.

Macmillan, M. (2000). Restoring Phineas Gage: A 150th retrospective. Journal of the History of the Neurosciences, 9 (1), 46-66.

Macmillan, M. (2002). An odd kind of fame: Stories of Phineas Gage. MIT Press.

Myers, D. G. (1998). Psychology (5th ed.). Worth Publishers.

Nasrabady, S. E., Rizvi, B., Goldman, J. E., & Brickman, A. M. (2018). White matter changes in Alzheimer’s disease: a focus on myelin and oligodendrocytes. Acta neuropathologica communications, 6 (1), 1-10.

Ratiu, P., Talos, I. F., Haker, S., Lieberman, D., & Everett, P. (2004). The tale of Phineas Gage, digitally remastered . Journal of neurotrauma, 21 (5), 637-643.

Suinn, R. M. (1970). Fundamentals of behavior pathology. Wiley.

Van Horn, J. D., Irimia, A., Torgerson, C. M., Chambers, M. C., Kikinis, R., & Toga, A. W. (2012). Mapping connectivity damage in the case of Phineas Gage . PloS one, 7(5) , e37454.

Further Reading

  • Griggs, R. A. (2015). Coverage of the Phineas Gage Story in Introductory Psychology Textbooks: Was Gage No Longer Gage?. Teaching of Psychology, 42(3), 195-202.
  • Wilgus, J., & Wilgus, B. (2009). Face to face with Phineas Gage. Journal of the History of the Neurosciences, 18(3), 340-345.
  • Macmillan, M., & Lena, M. L. (2010). Rehabilitating Phineas Gage. Neuropsychological Rehabilitation, 20, 641–658.
  • Macmillan, M. (2000). Restoring phineas gage: a 150th retrospective. Journal of the History of the Neurosciences, 9(1), 46-66.
  • Kotowicz, Z. (2007). The strange case of Phineas Gage. History of the Human Sciences, 20(1), 115-131.
  • O”driscoll K, Leach JP. “No longer Gage”: an iron bar through the head. Early observations of personality change after injury to the prefrontal cortex. BMJ. 1998;317(7174):1673-4. doi:10.1136/bmj.317.7174.1673a

If a person suffers from a traumatic brain injury in the prefrontal cortex, similar to that of Phineas Gage, what changes might occur?

A traumatic brain injury to the prefrontal cortex could result in significant changes in personality, emotional regulation, and executive function. This region is vital for impulse control, decision-making, and moderating social behavior.

A person may exhibit increased impulsivity, poor judgment, and reduced ability to plan or organize. Emotional volatility and difficulty in interpersonal relationships may also occur.

Just like the case of Phineas Gage, who became more impulsive and less dependable, the injury could dramatically alter one’s character and abilities.

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Phineas Gage: His Accident and Impact on Psychology

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

case study of phineas gage

Emily is a board-certified science editor who has worked with top digital publishing brands like Voices for Biodiversity, Study.com, GoodTherapy, Vox, and Verywell.

case study of phineas gage

Author unknown / Wikimedia Commons

  • Phineas Gage's Accident
  • Change in Personality
  • Severity of Brain Damage
  • Impact on Psychology

What Happened to Phineas Gage After the Brain Damage?

Phineas Gage is often referred to as the "man who began neuroscience." He experienced a traumatic brain injury when an iron rod was driven through his skull, destroying much of his frontal lobe .

Gage miraculously survived the accident. However, his personality and behavior were so changed as a result of the frontal lobe damage that many of his friends described him as an almost different person entirely. The impact that the accident had has helped us better understand what the frontal lobe does, especially in relation to personality .

At a Glance

In 1948, Phineas Gage had a workplace accident in which an iron tamping rod entered and exited his skull. He survived but it is said that his personality changed as a result, leading to a greater understanding of the brain regions involved in personality, namely the frontal lobe.

Phineas Gage's Accident

On September 13, 1848, 25-year-old Gage was working as the foreman of a crew preparing a railroad bed near Cavendish, Vermont. He was using an iron tamping rod to pack explosive powder into a hole.

Unfortunately, the powder detonated, sending the 43-inch-long, 1.25-inch-diameter rod hurling upward. The rod penetrated Gage's left cheek, tore through his brain , and exited his skull before landing 80 feet away.

Gage not only survived the initial injury but was able to speak and walk to a nearby cart so he could be taken into town to be seen by a doctor. He was still conscious later that evening and able to recount the names of his co-workers. Gage even suggested that he didn't wish to see his friends since he would be back to work in "a day or two" anyway.

The Recovery Process

After developing an infection, Gage spent September 23 to October 3 in a semi-comatose state. On October 7, he took his first steps out of bed, and, by October 11, his intellectual functioning began to improve.

Descriptions of Gage's injury and mental changes were made by Dr. John Martyn Harlow. Much of what researchers know about the case is based on Harlow's observations.

Harlow noted that Gage knew how much time had passed since the accident and remembered clearly how the accident occurred, but had difficulty estimating the size and amounts of money. Within a month, Gage was well enough to leave the house.

In the months that followed, Gage returned to his parent's home in New Hampshire to recuperate. When Harlow saw Gage again the following year, the doctor noted that while Gage had lost vision in his eye and was left with obvious scars from the accident, he was in good physical health and appeared recovered.

Theories About Gage's Survival and Recovery

The type of injury sustained by Phineas Gage could have easily been fatal. While it cannot be said with certainty why Gage was able to survive the accident, let alone recover from the injury and still function, several theories exist. They include:

  • The rod's path . Some researchers suggest that the rod's path likely played a role in Gage's survival in that if it had penetrated other areas of the head—such as the pterygoid plexuses or cavernous sinus—Gage may have bled to death.
  • The brain's selective recruitment . In a 2022 study of another individual who also had an iron rod go through his skull—whom the researchers referred to as a "modern-day Phineas Gage"—it was found that the brain is able to selectively recruit non-injured areas to help perform functions previously assigned to the injured portion.
  • Work structure . Others theorize that Gage's work provided him structure, positively contributing to his recovery and aiding in his rehabilitation.

How Did Phineas Gage's Personality Change?

Popular reports of Gage often depict him as a hardworking, pleasant man before the accident. Post-accident, these reports describe him as a changed man, suggesting that the injury had transformed him into a surly, aggressive heavy drinker who was unable to hold down a job.

Harlow presented the first account of the changes in Gage's behavior following the accident. Where Gage had been described as energetic, motivated, and shrewd prior to the accident, many of his acquaintances explained that after the injury, he was "no longer Gage."

Severity of Gage's Brain Damage

Since there is little direct evidence of the exact extent of Gage's injuries aside from Harlow's report, it is difficult to know exactly how severely his brain was damaged. Harlow's accounts suggest that the injury did lead to a loss of social inhibition, leading Gage to behave in ways that were seen as inappropriate.

In a 1994 study, researchers utilized neuroimaging techniques to reconstruct Phineas Gage's skull and determine the exact placement of the injury. Their findings indicate that he suffered injuries to both the left and right prefrontal cortices, which would result in problems with emotional processing and rational decision-making .

Another study conducted in 2004 used three-dimensional, computer-aided reconstruction to analyze the extent of Gage's injury. It found that the effects were limited to the left frontal lobe.

In 2012, new research estimated that the iron rod destroyed approximately 11% of the white matter in Gage's frontal lobe and 4% of his cerebral cortex.

Some evidence suggests that many of the supposed effects of the accident may have been exaggerated and that Gage was actually far more functional than previously reported.

Why Is Phineas Gage Important to Psychology?

Gage's case had a tremendous influence on early neurology. The specific changes observed in his behavior pointed to emerging theories about the localization of brain function, or the idea that certain functions are associated with specific areas of the brain.

In those years, neurology was in its infancy. Gage's extraordinary story served as one of the first sources of evidence that the frontal lobe was involved in personality.

Today, scientists better understand the role that the frontal cortex has to play in important higher-order functions such as reasoning , language, and social cognition .

After the accident, Gage was unable to continue his previous job. According to Harlow, Gage spent some time traveling through New England and Europe with his tamping iron to earn money, supposedly even appearing in the Barnum American Museum in New York.

He also worked briefly at a livery stable in New Hampshire and then spent seven years as a stagecoach driver in Chile. He eventually moved to San Francisco to live with his mother as his health deteriorated.

After a series of epileptic seizures, Gage died on May 21, 1860, almost 12 years after his accident. Seven years after his death, Gage's body was exhumed. His brother gave his skull and the tamping rod to Dr. Harlow, who subsequently donated them to the Harvard University School of Medicine. They are still exhibited in its museum today.

Bottom Line

Gage's accident and subsequent experiences serve as a historical example of how case studies can be used to look at unique situations that could not be replicated in a lab. What researchers learned from Phineas Gage's skull and brain injury played an important role in the early days of neurology and helped scientists gain a better understanding of the human brain and the impact that damage could have on both functioning and behavior.

Sevmez F, Adanir S, Ince R. Legendary name of neuroscience: Phineas Gage (1823-1860) . Child's Nervous System . 2020. doi:10.1007/s00381-020-04595-6

Twomey S. Phineas Gage: Neuroscience's most famous patient .  Smithsonian Magazine.

Harlow JM. Recovery after severe injury to the head . Bull Massachus Med Soc . 1848. Reprinted in  Hist Psychiat. 1993;4(14):274-281. doi:10.1177/0957154X9300401407

Harlow JM. Passage of an iron rod through the head . 1848. J Neuropsychiatry Clin Neurosci . 1999;11(2):281-3. doi:10.1176/jnp.11.2.281

Itkin A, Sehgal T. Review of Phineas Gage's oral and maxillofacial injuries . J Oral Biol . 2017;4(1):3.

de Freitas P, Monteiro R, Bertani R, et al. E.L., a modern-day Phineas Gage: Revisiting frontal lobe injury . The Lancet Regional Health - Americas . 2022;14:100340. doi:10.1016/j.lana.2022.100340

Macmillan M, Lena ML. Rehabilitating Phineas Gage . Neuropsycholog Rehab . 2010;20(5):641-658. doi:10.1080/09602011003760527

O'Driscoll K, Leach JP. "No longer Gage": An iron bar through the head. Early observations of personality change after injury to the prefrontal cortex . BMJ . 1998;317(7174):1673-4. doi:10.1136/bmj.317.7174.1673a

Damasio H, Grabowski T, Frank R, Galaburda AM, Damasio AR. The return of Phineas Gage: Clues about the brain from the skull of a famous patient . Science . 1994;264(5162):1102-5. doi:10.1126/science.8178168

Ratiu P, Talos IF. Images in clinical medicine. The tale of Phineas Gage, digitally remastered . N Engl J Med . 2004;351(23):e21. doi:10.1056/NEJMicm031024

Van Horn JD, Irimia A, Torgerson CM, Chambers MC, Kikinis R, Toga AW. Mapping connectivity damage in the case of Phineas Gage . PLoS One . 2012;7(5):e37454. doi: 10.1371/journal.pone.0037454

Macmillan M. An Odd Kind of Fame: Stories of Phineas Gage . MIT Press.

Shelley B. Footprints of Phineas Gage: Historical beginnings on the origins of brain and behavior and the birth of cerebral localizationism . Archives Med Health Sci . 2016;4(2):280-6. doi:10.4103/2321-4848.196182

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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Lessons of the brain: The Phineas Gage story

Harvard Correspondent

In 1848, an iron bar pierced his brain, his case providing new insights on both trauma and recovery

Imagine the modern-day reaction to a news story about a man surviving a three-foot, 7-inch, 13½-pound iron bar being blown through his skull — taking a chunk of his brain with it.

Then imagine that this happened in 1848, long before modern medicine and neuroscience. That was the case of Phineas Gage.

Whether the Vermont construction foreman, who was laying railroad track and using explosives at the time of the industrial accident, was lucky or unlucky is a judgment that Warren Anatomical Museum curator Dominic Hall puzzles over to this day.

“It is an impossible question, because he was extraordinarily unlucky to have an iron bar borne through his skull, but equally lucky to have survived, on such a low level of care,” said Hall. “We are lucky, to have him.”

Gage’s skull, along with the tamping iron that bore through it, are two of the approximately 15,000 artifacts and case objects conserved at the Warren, which is a part of the Center for the History of Medicine in Harvard’s Francis A. Countway Library of Medicine .

The resultant change in Gage’s personality — when he went from being well-liked and professionally successful to being “fitful, irreverent, and grossly profane, showing little deference for his fellows” and unable to keep his job — is widely cited in modern psychology as the textbook case for post-traumatic social disinhibition.

But as the years have gone by and we’ve learned more about his life, argued Hall, the teachings have changed.

“In 1848, he was seen as a triumph of human survival. Then, he becomes the textbook case for post-traumatic personality change. Recently, people interpret him as having found a form of independence and social recovery, which he didn’t get credit for 15 years ago.”

When Gage died 12 years after the accident, following epileptic seizures, his body was exhumed, while his skull and tamping iron were sent to the physician who had cared for him since the accident, John Harlow. Harlow later donated the items to the Warren, where they have remained for 160 years.

“In many ways, I see Gage similarly to how you would see a portrait of one of the famous professors hanging on the wall — he’s an important part of Harvard Medical School’s identity,” said Hall. “By continually reflecting on his case, it allows us to change how we reflect on the human brain and how we interact with our historical understanding of neuroscience.”

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Why Brain Scientists Are Still Obsessed With The Curious Case Of Phineas Gage

Jon Hamilton 2010

Jon Hamilton

case study of phineas gage

Cabinet-card portrait of brain-injury survivor Phineas Gage (1823–1860), shown holding the tamping iron that injured him. Wikimedia hide caption

Cabinet-card portrait of brain-injury survivor Phineas Gage (1823–1860), shown holding the tamping iron that injured him.

It took an explosion and 13 pounds of iron to usher in the modern era of neuroscience.

In 1848, a 25-year-old railroad worker named Phineas Gage was blowing up rocks to clear the way for a new rail line in Cavendish, Vt. He would drill a hole, place an explosive charge, then pack in sand using a 13-pound metal bar known as a tamping iron.

But in this instance, the metal bar created a spark that touched off the charge. That, in turn, "drove this tamping iron up and out of the hole, through his left cheek, behind his eye socket, and out of the top of his head," says Jack Van Horn , an associate professor of neurology at the Keck School of Medicine at the University of Southern California.

Gage didn't die. But the tamping iron destroyed much of his brain's left frontal lobe, and Gage's once even-tempered personality changed dramatically.

"He is fitful, irreverent, indulging at times in the grossest profanity, which was not previously his custom," wrote John Martyn Harlow, the physician who treated Gage after the accident.

This sudden personality transformation is why Gage shows up in so many medical textbooks, says Malcolm Macmillan, an honorary professor at the Melbourne School of Psychological Sciences and the author of An Odd Kind of Fame: Stories of Phineas Gage.

"He was the first case where you could say fairly definitely that injury to the brain produced some kind of change in personality," Macmillan says.

And that was a big deal in the mid-1800s, when the brain's purpose and inner workings were largely a mystery. At the time, phrenologists were still assessing people's personalities by measuring bumps on their skull.

Gage's famous case would help establish brain science as a field, says Allan Ropper , a neurologist at Harvard Medical School and Brigham and Women's Hospital.

One Account Of Gage's Personality Shift

Dr. John Harlow, who treated Gage following the accident, noted his personality change in an 1851 edition of the American Phrenological Journal and Repository of Science.

One doctor's account of the personality shift in Phineas Gage following the accident.

"If you talk about hard core neurology and the relationship between structural damage to the brain and particular changes in behavior, this is ground zero," Ropper says. It was an ideal case because "it's one region [of the brain], it's really obvious, and the changes in personality were stunning."

So, perhaps it's not surprising that every generation of brain scientists seems compelled to revisit Gage's case.

For example:

  • In the 1940s, a famous neurologist named Stanley Cobb diagrammed the skull in an effort to determine the exact path of the tamping iron.
  • In the 1980s, scientists repeated the exercise using CT scans.
  • In the 1990s, researchers applied 3-D computer modeling to the problem.

And, in 2012, Van Horn led a team that combined CT scans of Gage's skull with MRI scans of typical brains to show how the wiring of Gage's brain could have been affected .

"Neuroscientists like to always go back and say, 'we're relating our work in the present day to these older famous cases which really defined the field,' " Van Horn says.

And it's not just researchers who keep coming back to Gage. Medical and psychology students still learn his story. And neurosurgeons and neurologists still sometimes reference Gage when assessing certain patients, Van Horn says.

"Every six months or so you'll see something like that, where somebody has been shot in the head with an arrow, or falls off a ladder and lands on a piece of rebar," Van Horn says. "So you do have these modern kind of Phineas Gage-like cases."

case study of phineas gage

Two renderings of Gage's skull show the likely path of the iron rod and the nerve fibers that were probably damaged as it passed through. Van Horn JD, Irimia A, Torgerson CM, Chambers MC, Kikinis R, et al./Wikimedia hide caption

Two renderings of Gage's skull show the likely path of the iron rod and the nerve fibers that were probably damaged as it passed through.

There is something about Gage that most people don't know, Macmillan says. "That personality change, which undoubtedly occurred, did not last much longer than about two to three years."

Gage went on to work as a long-distance stagecoach driver in Chile, a job that required considerable planning skills and focus, Macmillan says.

This chapter of Gage's life offers a powerful message for present day patients, he says. "Even in cases of massive brain damage and massive incapacity, rehabilitation is always possible."

Gage lived for a dozen years after his accident. But ultimately, the brain damage he'd sustained probably led to his death.

He died on May 21, 1860, of an epileptic seizure that was almost certainly related to his brain injury.

Gage's skull, and the tamping iron that passed through it, are on display at the Warren Anatomical Museum in Boston, Mass.

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1.3: The Case of Phineas Gage- Connecting Brain to Behavior

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Learning Objectives

  • Discuss the Case of Phineas Gage and its contribution to biological psychology.

While experiments are necessary to establish cause and effect relationships, in-depth studies of unique individuals or groups of people who share an experience can be used to inform our understanding of things that we can not study experimentally. Surgical errors, extreme mistreatment, and tragic accidents are impactful events that can alter individuals significantly, providing unique opportunities to study the effects of experiences which can not be ethically studied experimentally. There have been a number of these case studies which have revealed the role of different parts of the brain on our thinking and behavior. One such case is Phineas Gage. Gage lived 12 years after a rod pierced his skull, damaging his left frontal lobe. Researchers were able to gather information about his functioning before and observe his cognitive ability and personality after the accident. His case enabled the field to understand the role of frontal lobe in personality and mental processes.

The Tale of Phineas Gage

Phinease Cage after his accident, holding the rod that damaged his brain

The case of Phineas Gage is worthy of expanded coverage as his tragic accident establishes a clear connection between the brain and who we are. Gage, a 25-year-old man, was employed in railroad construction at the time of the accident. As the company's most capable employee, with a well-balanced mind and a sense of leadership, he was directing a rock-splitting workgroup while preparing the bed of the Rutland and Burlington Railroad south of Cavendish, Vermont, USA. At 4:30 PM on September 13, 1848, he and his group were blasting a rock, and Gage was assigned to put gunpowder in a deep hole inside it.

The moment he pressed the gunpowder into the hole with a bar, the friction caused sparks, and the powder exploded. The resulting blast projected the meter-long bar, which was 1.25 inches in diameter and weighed about 13.2 pounds, through his skull at high speed. The bar entered his left cheek, destroyed his eye, passed through the left front of his brain, and left his head at the top of the skull on the right side. Gage was thrown on his back and had some brief convulsions, but he woke up and spoke in a few minutes, walked with a little help, and sat in an ox cart for the 0.7-mile trip to where he was living.

About 30 minutes after the accident, a doctor arrived to provide medical care. Gage had lost a lot of blood, and the next days that followed were quite difficult. The wound became infected, and Phineas was anemic and remained semi-comatose for more than two weeks. He also developed a fungal infection in the exposed brain that needed to be surgically removed. His condition slowly improved after doses of calomel and beaver oil. By mid-November he was already walking around the city.

The Consequences

For three weeks after the accident, the wound was treated by doctors. During this time, he was assisted by Dr. John Harlow, who covered the head wound and then reported the case in the Boston Medical Surgery Journal. In November 1849, invited by the professor of surgery at Harvard Medical School, Henry Jacob Bigelow, Harlow took Gage to Boston and introduced him to a meeting of the Boston Society for Medical Improvement .

In his reports, Harlow described that the physical injury profoundly altered Gage's personality. Although his memory, cognition, and strength had not been altered, his once gentle personality slowly degraded. He became a man of bad and rude ways, disrespectful to colleagues, and unable to accept advice. His plans for the future were abandoned, and he acted without thinking about the consequences. And here was the main point of this curious story: Gage became irritable, irreverent, rude and profane, aspects that were not part of his way of being. His mind had changed radically. His transformation was so great that everyone said that “Gage is no longer himself.”

As a result of this personality change, he was fired and could no longer hold a steady job. He became a circus attraction and even tried life in Chile, later returning to the United States. However, there is something still little known about Gage: his personality changes lasted for about four years, slowly reverting later. As a proof of this, he worked as a long-haul driver in Chile, a job that required considerable planning and focus skills. He died on May 21, 1861, 12 years after the accident, from an epileptic seizure that was almost certainly related to his brain injury.

Phineas Gage's skull and tamping iron

After his body was removed from its grave, Gage's mother donated his skull to Dr. Harlow who in turn donated it to Harvard University.

Gage's case is considered to be one of the first examples of scientific evidence indicating that damage to the frontal lobes may alter personality, emotions, and social interaction. Prior to this case, the frontal lobes were considered silent structures, without function and unrelated to human behavior. Scottish neurologist, David Ferrier, was motivated by this fact to investigate the role of frontal lobes in brain function. Ferrier removed the frontal lobes in monkeys and noted that there were no major physiological changes, but the character and behavior of the animals were altered. In other words, he confirmed the role of the frontal lobes that was suggested by Gage's accident in an experiment with a non-human animal.

Knowledge that the frontal lobe was involved with emotions continued to be studied. The surgeon Burkhardt in 1894 performed a series of surgeries in which he selectively destroyed the frontal lobes of several patients in whom he sought to control psychotic symptoms, being the modern prototype of what was later known through Antonio Egas Moniz as psychosurgery. Today, it is well understood that the prefrontal cortex of the brain controls the organization of behavior, including emotions and inhibitions.

Folkloric as it may be, but nonetheless remarkable, the contribution of Phineas Gage's case should not be overlooked, as it provided scientists the baseline for the promotion of studies in neuropsychiatry, and a source of inspiration for world medicine. In 2012, a team of neuroscientists used computer tomography of Gage's skull with typical brain MRI scans to simulate how extensive Gage's brain damage was. They confirmed that most of the damaged area was the left frontal lobe. However, surrounding areas and their neural network were also extensively severed. And it is not just the researchers who keep coming back to Gage. Medical and psychology students still learn about Gage from their history lessons. Neurosurgeons and neurologists still sometimes use Gage as a reference when evaluating certain cases. The final chapter of his life also offers us a thought-provoking discovery about cases of massive brain damage, indicating that rehabilitation may be possible.

Phineas Gage made a huge contribution to our understanding of the frontal lobe damage and its subsequent change in personality. Furthermore, his case expanded knowledge in neurology in several areas, including the study of brain topography in behavioral disorders, the development of psychosurgery, and finally the study of brain rehabilitation. Also, Gage's case had a tremendous influence on early neuropsychiatry. The specific changes observed in his behavior pointed to theories about the localization of brain function and correlated with cognitive and behavioral sequelae, thereby acquainting us with the role of the frontal cortex in higher-order actions such as reasoning, behavior and social cognition. In those years, while neuropsychiatry was in its infancy, Gage's extraordinary story served as one of the first pillars of evidence that the frontal lobe is involved in personality, which helped solidify his remarkable legacy in world medical history.

Attributions

Adapted from Phineas Gage’s Great Legacy by Vieira Teles Filho, Ricardo. Licensed CC BY 4.0 .

Phineas Gage: Neuroscience’s Most Famous Patient

An accident with a tamping iron made Phineas Gage history’s most famous brain-injury survivor

Steve Twomey

Phineas Gage

Jack and Beverly Wilgus, collectors of vintage photographs, no longer recall how they came by the 19th-century daguerreotype of a disfigured yet still-handsome man. It was at least 30 years ago. The photograph offered no clues as to where or precisely when it had been taken, who the man was or why he was holding a tapered rod. But the Wilguses speculated that the rod might be a harpoon, and the man’s closed eye and scarred brow the result of an encounter with a whale.

So over the years, as the picture rested in a display case in the couple’s Baltimore home, they thought of the man in the daguerreotype as the battered whaler.

In December 2007, Beverly posted a scan of the image on Flickr, the photo-sharing Web site, and titled it “One-Eyed Man with Harpoon.” Soon, a whaling enthusiast e-mailed her a dissent: that is no harpoon, which suggested that the man was no whaler. Months later, another correspondent told her that the man might be Phineas Gage and, if so, this would be the first known image of him.

Beverly, who had never heard of Gage, went online and found an astonishing tale.

In 1848, Gage, 25, was the foreman of a crew cutting a railroad bed in Cavendish, Vermont. On September 13, as he was using a tamping iron to pack explosive powder into a hole, the powder detonated. The tamping iron—43 inches long, 1.25 inches in diameter and weighing 13.25 pounds—shot skyward, penetrated Gage’s left cheek, ripped into his brain and exited through his skull, landing several dozen feet away. Though blinded in his left eye, he might not even have lost consciousness, and he remained savvy enough to tell a doctor that day, “Here is business enough for you.”

Gage’s initial survival would have ensured him a measure of celebrity, but his name was etched into history by observations made by John Martyn Harlow, the doctor who treated him for a few months afterward. Gage’s friends found him“no longer Gage,” Harlow wrote. The balance between his “intellectual faculties and animal propensities” seemed gone. He could not stick to plans, uttered “the grossest profanity” and showed “little deference for his fellows.” The railroad-construction company that employed him, which had thought him a model foreman, refused to take him back. So Gage went to work at a stable in New Hampshire, drove coaches in Chile and eventually joined relatives in San Francisco, where he died in May 1860, at age 36, after a series of seizures.

In time, Gage became the most famous patient in the annals of neuroscience, because his case was the first to suggest a link between brain trauma and personality change. In his book An Odd Kind of Fame: Stories of Phineas Gage , the University of Melbourne’s Malcolm Macmillan writes that two-thirds of introductory psychology textbooks mention Gage. Even today, his skull, the tamping iron and a mask of his face made while he was alive are the most sought-out items at the Warren Anatomical Museum on the Harvard Medical School campus.

Michael Spurlock, a database administrator in Missoula, Montana, happened upon the Wilgus daguerreotype on Flickr in December 2008. As soon as he saw the object the one-eyed man held, Spurlock knew it was not a harpoon. Too short. No wooden shaft. It looked more like a tamping iron, he thought. Instantly, a name popped into his head: Phineas Gage. Spurlock knew the Gage story well enough to know that any photograph of him would be the first to come to light. He knew enough, too, to be intrigued by Gage’s appearance, if it was Gage. Over the years, accounts of his changed character had gone far beyond Harlow’s observations, Macmillan says, turning him into an ill-tempered, shiftless drunk. But the man in the Flickr photogragh seemed well-dressed and confident.

It was Spurlock who told the Wilguses that the man in their daguerreotype might be Gage. After Beverly finished her online research, she and Jack concluded that the man probably was. She e-mailed a scan of the photograph to the Warren museum. Eventually it reached Jack Eckert, the public-services librarian at Harvard’s Center for the History of Medicine. “Such a ‘wow’ moment,” Eckert recalls. It had to be Gage, he determined. How many mid-19th-century men with a mangled eye and scarred forehead had their portrait taken holding a metal tool? A tool with an inscription on it?

The Wilguses had never noticed the inscription; after all, the daguerreotype measures only 2.75 inches by 3.25 inches. But a few days after receiving Spurlock’s tip, Jack, a retired photography professor, was focusing a camera to take a picture of his photograph. “There’s writing on that rod!” Jack said. He couldn’t read it all, but part of it seemed to say, “through the head of Mr. Phi...”

In March 2009, Jack and Beverly went to Harvard to compare their picture with Gage’s mask and the tamping iron, which had been inscribed in Gage’s lifetime: “This is the bar that was shot through the head of Mr. Phinehas P. Gage,” it reads, misspelling the name.

Harvard has not officially declared that the daguerreotype is of Gage, but Macmillan, whom the Wilguses contacted next, is quite certain. He has also learned of another photograph, he says, kept by a descendant of Gage’s.

As for Spurlock, when he got word that his hunch was apparently correct, “I threw open the hallway door and told my wife, ‘I played a part in a historical discovery!’ ”

Steve Twomey is based in New Jersey. He wrote about map and document thieves for the April 2008 issue of Smithsonian .

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Psychologily

Phineas Gage

Uncovering the Impact of Phineas Gage’s Accident on Psychology

Phineas Gage is a name that has become synonymous with studying psychology. His case has greatly interested researchers and students alike for years. Gage experienced a traumatic brain injury in 1848 when an iron rod was driven through his skull, destroying much of his frontal lobe. Despite the severity of his injury, Gage survived the accident, and his story has contributed significantly to our understanding of the brain and its functions.

Gage’s case is unique because it is one of the first recorded instances of a person surviving a severe brain injury. The accident profoundly impacted Gage’s personality, behavior, and cognitive abilities. Before the accident, Gage was described as a responsible and hard-working man. However, after the injury, he became impulsive, inconsistent, and unable to plan for the future. His case has been a subject of much debate and speculation, and it has contributed significantly to our understanding of the brain and its functions.

This article will explore Phineas Gage’s accident and its impact on psychology. We will examine his life before and after the injury, his personality and behavior changes, and the significance of his psychology case. We will also discuss how Gage’s case has contributed to our understanding of the brain and its functions.

The Life of Phineas Gage

Phineas Gage was born on July 9, 1823, in Grafton County, New Hampshire. He was the first of five children born to Jesse Eaton Gage and Hannah Trussell Gage. According to records, Phineas was a healthy and intelligent child who enjoyed playing outdoors and was well-liked by his peers.

Early Years

Phineas grew up in a modest household and attended school until he was 12. He then began working on his family’s farm, where he gained experience working with animals and machinery. In his late teens, he moved to Vermont to work as a farmhand and eventually found employment as a stagecoach driver.

Career as a Railroad Construction Foreman

In 1848, at 25, Phineas worked as a railroad construction foreman for the Rutland and Burlington Railroad Company. On September 13 that year, he suffered a traumatic brain injury when an iron rod measuring 43 inches long and 1.25 inches in diameter was accidentally driven through his skull. The rod entered below his left cheekbone and exited through the top of his head, destroying much of his frontal lobe.

Despite the severity of his injury, Phineas survived and could walk and talk within minutes of the accident. However, his personality and behavior were dramatically altered. He became impulsive, irritable, and unable to plan or make decisions. He also struggled with memory loss and had difficulty with social interactions.

After the accident, Phineas worked odd jobs and traveled around the country, becoming a celebrity due to his survival story. He eventually settled in San Francisco, where he worked as a longshoreman until his death on May 21, 1860.

Phineas Gage: The Accident

The incident.

We have all heard of Phineas Gage, who survived a devastating brain injury that changed his personality forever. But what exactly happened to him? In 1848, Gage was a 25-year-old railroad construction foreman working in Vermont. On September 13 that year, he was using a tamping iron to pack explosive powder into a hole when the powder ignited, sending the iron rocketing through his skull.

The iron, 43 inches long and weighing over 13 pounds, entered Gage’s head just below his left cheekbone and exited through the top of his skull, landing several yards away. Miraculously, Gage remained conscious throughout the ordeal and was able to speak within minutes of the accident.

Immediate Aftermath

The immediate aftermath of the accident was chaotic. Gage’s coworkers rushed to his aid and found him sitting up, blood pouring from his head. They took him to a nearby hotel, where a physician named Edward H. Williams examined him. Williams later described the scene: “I first noticed the wound upon the head before I alighted from my carriage, the brain pulsations being very distinct. Mr. Gage, during the time I was examining this wound, was relating how he was injured to the bystanders. I did not believe Mr. Gage’s statement then but thought he was deceived.”

Despite Williams’ skepticism, Gage’s account of the accident was accurate. He was eventually taken to his boarding house, where Dr. John Martyn Harlow attended. Harlow later wrote that “the iron entered the left side of the face, shattering the upper jaw, and passing back of the left eye, tearing the left lobe of the brain, and passing out at the top of the head, carrying with it a portion of the brain and other substances.”

Gage’s survival was miraculous, but it came at a significant cost. The iron had destroyed much of his left frontal lobe, which regulates emotions, personality, and decision-making. Gage’s behavior changed dramatically in the aftermath of the accident, and he became irritable, impulsive, and unpredictable. His story would become one of the most famous case studies in psychology and neuroscience, and it continues to fascinate researchers and laypeople today.

Medical and Psychological Impact

Phineas Gage’s accident had significant medical and psychological consequences. This section will discuss his injury’s physical consequences, behavioral changes, and long-term effects.

Physical Consequences

The iron rod that went through Phineas Gage’s skull damaged much of his frontal lobe, resulting in significant physical consequences. He lost his left eye and partially lost vision in his right eye. Additionally, he suffered from seizures and chronic headaches.

Behavioral Changes

Phineas Gage’s injury also resulted in significant behavioral changes. He became impulsive, irritable, and lacked empathy. He struggled with decision-making and planning, and his personality underwent a complete transformation. His friends and family reported that he was no longer the person he was before the accident.

Long-Term Effects

The long-term effects of Phineas Gage’s injury were significant. He could not return to his previous job as a railroad construction foreman and struggled to maintain employment. He became a circus attraction, traveling around the country as a living example of the effects of brain injury.

Phineas Gage’s case profoundly impacted the field of psychology, as it was one of the first documented cases of the link between brain damage and behavior. It helped researchers understand the role of the frontal lobe in decision-making, planning, and personality.

Significance in Psychology

Phineas Gage’s accident and its aftermath have significantly impacted the field of psychology. It has provided valuable insight into brain function, influenced neuropsychology development, and had implications for personality theory.

Insights into Brain Function

Gage’s injury provided a unique opportunity to study the relationship between the brain and behavior. It demonstrated that damage to specific brain areas can result in profound changes in personality and behavior. It also highlighted the importance of the prefrontal cortex in regulating social behavior, decision-making, and emotional regulation.

Influence on Neuropsychology

Gage’s case was one of the first documented cases of brain injury resulting in significant changes in behavior. It influenced the development of neuropsychology, a field that focuses on the relationship between brain function and behavior. Neuropsychologists use a variety of tests to assess cognitive function, including memory, attention, and language skills. They also use brain imaging techniques like magnetic resonance imaging (MRI) to study the brain’s structure and function.

Implications for Personality Theory

Gage’s case challenged the prevailing view of personality as fixed and unchanging. It demonstrated that brain injury can alter personality and that different parts of the brain are responsible for various aspects of personality. For example, damage to the prefrontal cortex can result in impulsivity, poor judgment, and emotional instability. This has led to theories that emphasize personality’s dynamic nature and the brain’s importance in shaping behavior.

Overall, Phineas Gage’s case has had a lasting impact on psychology. It has provided valuable insights into brain function, influenced neuropsychology development, and challenged prevailing views of personality.

Public Response and Legacy

Public perception.

After Phineas Gage’s accident, his story quickly spread throughout the public. People were fascinated by the idea that a simple iron rod could cause such a dramatic change in a person’s personality. However, the public’s understanding of Gage’s case was often oversimplified and exaggerated. Many people believed that Gage’s accident had turned him into a completely different person when, in reality, the changes were more subtle and complex.

Over time, Gage’s story became a cautionary tale about the dangers of head injuries. It was used to warn people about the potential consequences of traumatic brain injuries and to encourage them to take precautions to protect their heads.

Legacy in Science and Popular Culture

Phineas Gage’s case profoundly impacted the field of psychology and neuroscience. It was one of the first documented cases of a person with a brain injury that affected their personality and behavior. Gage’s case helped to establish the idea that different parts of the brain are responsible for various functions and that damage to these areas can cause specific changes in behavior.

Gage’s story has also had a lasting impact on popular culture. It has been referenced in countless books, movies, and TV shows and has become a symbol of the strange and mysterious workings of the human brain. In recent years, Gage’s case has even been used to promote the idea of neuroplasticity, which suggests that the brain can change and adapt throughout a person’s life.

Overall, Phineas Gage’s accident and its aftermath have left a lasting legacy in both the scientific and popular realms. While the public’s understanding of Gage’s case may be oversimplified, his story’s impact on psychology and neuroscience must be considered.

Frequently Asked Questions

Did phineas gage lose his eye.

No, Phineas Gage did not lose his eye in the accident. However, the iron rod that went through his skull damaged his left eye and caused him to lose vision in that eye.

When did Phineas Gage’s accident happen?

Phineas Gage’s accident happened on September 13, 1848. He was working on a railroad construction crew in Vermont when the iron rod he was using to tamp down blasting powder accidentally ignited the powder, causing the rod to shoot through his skull.

How long did Phineas Gage live after the accident?

Phineas Gage lived for another 12 years after the accident. He suffered from seizures and personality changes due to the damage to his brain, but he could continue living a relatively everyday life until he died in 1860.

How did Phineas Gage survive?

Phineas Gage’s survival is considered a medical miracle. The iron rod that went through his skull destroyed much of his frontal lobe, responsible for many essential functions such as decision-making, personality, and social behavior. However, the fact that the rod went through his brain in a relatively straight line and did not damage other vital areas likely contributed to his survival.

Why did Phineas Gage not feel pain?

It is unclear why Phineas Gage did not feel pain immediately after the accident. Some speculate that the damage to his brain may have affected his ability to perceive pain, while others believe that his body went into shock and he did not feel the pain at the time.

What happened to Phineas Gage, and how did it impact the field of psychology?

Phineas Gage’s accident and subsequent personality changes profoundly impacted the field of psychology. His case was one of the first to suggest a link between brain function and behavior, and it helped to establish the field of neuropsychology. Gage’s story also highlighted the importance of the frontal lobe in regulating personality and decision-making, and it continues to be studied by psychologists and neuroscientists today.

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Open Access

Peer-reviewed

Research Article

Mapping Connectivity Damage in the Case of Phineas Gage

* E-mail: [email protected]

Affiliation Laboratory of Neuro Imaging (LONI), Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States of America

Affiliation Surgical Planning Laboratory, Department of Radiology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America

  • John Darrell Van Horn, 
  • Andrei Irimia, 
  • Carinna M. Torgerson, 
  • Micah C. Chambers, 
  • Ron Kikinis, 
  • Arthur W. Toga

PLOS

  • Published: May 16, 2012
  • https://doi.org/10.1371/journal.pone.0037454
  • Reader Comments

Figure 1

White matter (WM) mapping of the human brain using neuroimaging techniques has gained considerable interest in the neuroscience community. Using diffusion weighted (DWI) and magnetic resonance imaging (MRI), WM fiber pathways between brain regions may be systematically assessed to make inferences concerning their role in normal brain function, influence on behavior, as well as concerning the consequences of network-level brain damage. In this paper, we investigate the detailed connectomics in a noted example of severe traumatic brain injury (TBI) which has proved important to and controversial in the history of neuroscience. We model the WM damage in the notable case of Phineas P. Gage, in whom a “tamping iron” was accidentally shot through his skull and brain, resulting in profound behavioral changes. The specific effects of this injury on Mr. Gage's WM connectivity have not previously been considered in detail. Using computed tomography (CT) image data of the Gage skull in conjunction with modern anatomical MRI and diffusion imaging data obtained in contemporary right handed male subjects (aged 25–36), we computationally simulate the passage of the iron through the skull on the basis of reported and observed skull fiducial landmarks and assess the extent of cortical gray matter (GM) and WM damage. Specifically, we find that while considerable damage was, indeed, localized to the left frontal cortex, the impact on measures of network connectedness between directly affected and other brain areas was profound, widespread, and a probable contributor to both the reported acute as well as long-term behavioral changes. Yet, while significantly affecting several likely network hubs, damage to Mr. Gage's WM network may not have been more severe than expected from that of a similarly sized “average” brain lesion. These results provide new insight into the remarkable brain injury experienced by this noteworthy patient.

Citation: Van Horn JD, Irimia A, Torgerson CM, Chambers MC, Kikinis R, Toga AW (2012) Mapping Connectivity Damage in the Case of Phineas Gage. PLoS ONE 7(5): e37454. https://doi.org/10.1371/journal.pone.0037454

Editor: Olaf Sporns, Indiana University, United States of America

Received: August 3, 2011; Accepted: April 23, 2012; Published: May 16, 2012

Copyright: © 2012 Van Horn et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: This work was supported by 2U54EB005149-06 “NAMIC: Traumatic Brain Injury - Driving Biological Project” to JVH, 1RC1MH088194 “Informatics Meta-Spaces for the Exploration of Human Neuroanatomy” to JVH, and P41RR013642 “Computational Anatomy and Multidimensional Modeling” to AWT. This work was performed as part of the Human Connectome Project (HCP; www.humanconnectomeproject.org ). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

The mapping of human brain connectivity through the use of modern neuroimaging methods has enjoyed considerable interest, examination, and application in recent years [1] , [2] . Through the use of diffusion weighted (DWI) and magnetic resonance imaging (MRI), it is possible to systematically assess white matter (WM) fiber pathways between brain regions to measure fiber bundle properties, their influence on behavior and cognition, as well as the results of severe brain damage. The potential for using combined DWI/MRI methods to understand network-level alterations resulting from neurological insult is among their major research and clinical advantages.

In this paper, we investigate the detailed connectomics of a noted example of severe traumatic brain injury (TBI) which has proved important to and controversial in the history of neuroscience. Few cases in the history of the medical sciences have been so important, interpreted, and misconstrued, as the case of Phineas P. Gage [3] , in whom a “tamping iron” was accidentally shot through his skull and brain, resulting in profound behavioral changes, and which contributed to his death 151 years ago. On September 13th, 1848, the 25-year old Phineas P. Gage was employed as a railroad construction supervisor near Cavendish, Vermont to blast and remove rock in preparation for the laying of the Rutland and Burlington Railroad. Having drilled a pilot hole into the rock and filling it partially with gunpowder, he instructed an assistant to pour sand into the hole atop the powder. Averting his attention for a moment to speak with his men, he apparently assumed the sand had been added. He then commenced dropping the end of a 110 cm long, 3.2 cm diameter iron rod into the hole in order to “tamp” down its contents. The 13 lb. iron struck the interior wall of the hole causing a spark to ignite the powder which, in turn, launched the pointed iron rod upwards, through the left cheek of Mr. Gage just under the zygomatic arch, passing behind his left eyeball, piercing his cranial vault under the left basal forebrain, passing through his brain, and then exiting the top and front of his skull near the sagittal suture. A large amount of brain tissue was expelled from the opening and the rod was found later “smeared with blood and brains”, washed in a stream, and, eventually, returned to him. After receiving treatment and care from Dr. John Martyn Harlow over subsequent weeks, Mr. Gage was able to recover sufficiently from his physical injuries and return to his family in nearby New Hampshire. However, reports of profound personality changes indicate that he was unable to return to his previous job and caused co-workers to comment that he was “no longer Gage.” Following several years of taking manual labor jobs and travelling throughout New England and eventually to Valparaiso, Chile, always in the company of “his iron”, he was reunited with his family in San Francisco whereupon Mr. Gage died on May 21, 1860, nearly 12 years after his injury – presumably due to the onset of seizures evidently originating from damage resulting from the tamping rod incident. Several years later, Dr. Harlow, upon learning of Gage's death, asked Gage's sister's family to exhume his body to retrieve his skull and rod for presentation to the Massachusetts Historical Society and deposition with Harvard Medical School where, to this day, it remains on display in the Warren Anatomical Museum in the Francis A. Countway Library of Medicine at Harvard Medical School ( Fig. 1a ).

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a) The skull of Phineas Gage on display at the Warren Anatomical Museum at Harvard Medical School. b) CT image volumes were reconstructed, spatially aligned, and manual segmentation of the individual pieces of bone dislodged by the tamping iron (rod), top of the cranium, and mandible was performed. Surface meshes for each individual element of the skull were created. Based upon observations from previous examinations of the skull as well as upon the dimensions of the iron itself, fiducial constraint landmarks were digitally imposed and a set of possible rod trajectories were cast through the skull. This figure shows the set of possible rod trajectory centroids which satisfied each of the anatomical constraints. The trajectory nearest the mean trajectory was considered the true path of the rod and was used in all subsequent calculations. Additionally, voxels comprising the interior boundary and volume of the cranial vault were manually extracted and saved as a digital endocast of Mr. Gage's brain cavity. c) A rendering of the Gage skull with the best fit rod trajectory and example fiber pathways in the left hemisphere intersected by the rod. Graph theoretical metrics for assessing brain global network integration, segregation, and efficiency [92] were computed across each subject and averaged to measure the changes to topological, geometrical, and wiring cost properties. d) A view of the interior of the Gage skull showing the extent of fiber pathways intersected by the tamping iron in a sample subject ( i.e. one having minimal spatial deformation to the Gage skull). The intersection and density of WM fibers between all possible pairs of GM parcellations was recorded, as was average fiber length and average fractional anisotropy (FA) integrated over each fiber.

https://doi.org/10.1371/journal.pone.0037454.g001

The amount of damage to Mr. Gage's left frontal cortical grey matter (GM) with secondary damage to surrounding GM has been considered by several authors with reference to Gage's reported change in temperament, character, etc [4] , [5] , [6] ( Table 1 ). With the aid of medical imaging technology, two previous published articles have sought to illustrate the impact of the rod on Mr. Gage's skull and brain. Most famously, Damasio et al. [7] illustrated that the putative extent of damage to the left frontal cortex would be commensurate with the disinhibition, failures to plan, memory deficiencies, and other symptoms noted in patients having frontal lobe injury. Ratiu et al. [8] sought to illustrate the trajectory of the tamping iron, characterize the pattern of skull damage, and explain potential brain damage using a single, example subject. However, while many authors have focused on the gross damage done by the iron to Gage's frontal cortical GM, little consideration has been given to the degree of damage to and destruction of major connections between discretely affected regions and the rest of his brain.

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https://doi.org/10.1371/journal.pone.0037454.t001

WM fasciculi link activity between cortical areas of the brain [9] , [10] , become systematically myelinated through brain maturation [11] , govern fundamental cognitive systems [12] , and may be disrupted in neurological [13] and psychiatric disease [14] . Penetrative TBI in cases of wartime [15] , industrial [16] , gunshot [17] , or domestic [18] injury often result in significant damage to brain connectivity, loss of function, and often death. Yet, in some instances, recovery from objects penetrating WM [19] have been reported with minimal sequelae [20] . Neuroimaging studies of WM tracts in TBI have revealed not only significant acute damage to fiber pathways but also that measures of fiber integrity can show partial fiber recovery over time [21] , presumably due to cortical plasticity [22] in non-penetrative cases.

Given recent interest in the atlasing of the human WM connectome (e.g. http://www.humanconnectomeproject.org ), a detailed consideration of the putative damage to Mr. Gage's connectomics and implications for changes in behavior is provocative and compelling. Nerve damage is superficially evident through reports of eventual loss of sight in Gage's left eye, left eyelid ptosis [23] , and recognition of potential WM damage by other investigators [7] . Further examination of the extent of Gage's WM damage and of its effects on network topology and regional connectedness can offer additional context into putative behavioral changes. Due to the absence of original brain tissue and to the lack of a recorded autopsy from this case, one can only estimate the extent of damage from bony structures and can never be confident concerning which precise brain tissues were impacted. However, brain tissue in situ from a representative population can be considered and it can be assumed that Mr. Gage's anatomy would have been similar. In this examination, we obtained the original high-resolution CT data of the Gage skull used by Ratiu et al. , and computationally estimated the best-fit rod trajectory through the skull. Via multimodal analysis of T1-weighted anatomical MRI and DWI in N = 110 normal, right-handed males, aged 25–36, we quantify the extent of acute regional cortical loss and examine in detail the expected degree of damage to Mr. Gage's WM pathways.

Computationally projecting a model of the tamping iron through the T1 MRI anatomical volumes warped to the Gage skull geometry ( Table 2 ; Fig. 1b–c ; see also Methods ) in light of previously reported anatomical constraints ( Table 3 ) and healthy brain morphometry and connectivity ( Fig. 2 ), the average percentage of total cortical GM volume intersected was 3.97±0.29% (mean±SD), where the cortical regions most affected by the rod (>25% of their regional volumes) included (mean±SD): the left orbital sulcus (OrS; 90.86±6.97%), the left middle frontal sulcus (MFS; 80.33±10.01), the horizontal ramus of the anterior segment of the lateral sulcus (ALSHorp; 71.03±22.08%), the anterior segment of the circular sulcus of the insula (ACirInS; 61.81±18.14%), the orbital gyrus (OrG; 39.45±6.17%), the lateral orbital sulcus (LOrS; 37.96±20.24%), the superior frontal sulcus (SupFS; 36.29±12.16%), and the orbital part of the inferior frontal gyrus (InfFGOrp; 28.22±19.60%). While extensive damage occurred to left frontal, left temporal polar, and insular cortex, the best fit rod trajectory did not result in the iron crossing the midline as has been suggested by some authors (see Methods ). As a result, no direct damage appeared to occur in right frontal cortices as evident from our representative sample cohort. A complete list of all cortical areas experiencing damage is listed in Table 4 .

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The outermost ring shows the various brain regions arranged by lobe (fr – frontal; ins – insula; lim – limbic; tem – temporal; par – parietal; occ- occipital; nc – non-cortical; bs – brain stem; CeB - cerebellum) and further ordered anterior-to-posterior based upon the centers-of-mass of these regions in the published Destrieux atlas [72] (see also Table 6 for complete region names, abbreviations, and FreeSurfer IDs, and Table 7 for the abbreviation construction scheme). The left half of the connectogram figure represents the left-hemisphere of the brain, whereas the right half represents the right hemisphere with the exception of the brain stem, which occurs at the bottom, 6 o'clock position of the graph. The lobar abbreviation scheme is given in the text. The color map of each region is lobe-specific and maps to the color of each regional parcellation as shown in Fig. S2 . The set of five rings (from the outside inward) reflect average i) regional volume, ii) cortical thickness, iii) surface area, and iv) cortical curvature of each parcellated cortical region. For non-cortical regions, only average regional volume is shown. Finally, the inner-most ring displays the relative degree of connectivity of that region with respect to WM fibers found to emanate from this region, providing a measure of how connected that region is with all other regions in the parcellation scheme. The links represent the computed degrees of connectivity between segmented brain regions. Links shaded in blue represent DTI tractography pathways in the lower third of the distribution of fractional anisotropy, green lines the middle third, and red lines the top third. Circular “color bars” at the bottom of the figure describe the numeric scale for each regional geometric measurement and its associated color on that anatomical metric ring of the connectogram.

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https://doi.org/10.1371/journal.pone.0037454.t003

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https://doi.org/10.1371/journal.pone.0037454.t004

The amount of total WM volume lost due to the tamping iron was 10.72±5.46% (mean±SD). Examination of lesioned connectivity matrices indicated that fiber bundles from nearly the entire extent of the left frontal cortex were impacted by the presence of the tamping iron (e.g. Fig. 1d ), which in turn affected most of that hemisphere as well as contralateral regions ( Fig. 3 ). The effect of this lesion on network properties was assessed 1) with respect to the healthy intact network, generally, as well as 2) in contrast to the average effects of similarly-sized lesions simulated elsewhere in the cortex, as related to local GM loss as well as distributed loss of connectivity ( Fig. 4a–c ). Metrics representative of three specific global network attributes were examined: characteristic path length (λ, measuring network integration), mean local efficiency (e, segregation), and small worldness (S) ( Table 5 ).

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The lines in this connectogram graphic represent the connections between brain regions that were lost or damaged by the passage of the tamping iron. Fiber pathway damage extended beyond the left frontal cortex to regions of the left temporal, partial, and occipital cortices as well as to basal ganglia, brain stem, and cerebellum. Inter-hemispheric connections of the frontal and limbic lobes as well as basal ganglia were also affected. Connections in grayscale indicate those pathways that were completely lost in the presence of the tamping iron, while those in shades of tan indicate those partially severed. Pathway transparency indicates the relative density of the affected pathway. In contrast to the morphometric measurements depicted in Fig. 2 , the inner four rings of the connectogram here indicate (from the outside inward) the regional network metrics of betweenness centrality, regional eccentricity, local efficiency, clustering coefficient, and the percent of GM loss, respectively, in the presence of the tamping iron, in each instance averaged over the N = 110 subjects.

https://doi.org/10.1371/journal.pone.0037454.g003

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WM fiber pathways intersected by the rod were pooled across all N = 110 subjects and examined for a) the relative lengths (w ij ) of affected pathways and b) the relative percentages of lost fiber density (g ij ); c) the bivariate distribution of g ij versus w ij indicating that local fiber pathways were affected, e.g. relatively short pathways proximal to the injury site, as well as damaging dense, longer-range fiber pathways, e.g. innervating regions some distance from the tamping iron injury (see “ Calculation of Pathology Effects upon GM/WM Volumetrics ” for further details).

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Tables 6 and 7 provide details on the regional coding used for brain parcellation which were subjected to estimation of the effects of the tamping iron, lesion simulation modeling, and which encode the text on the outer-most rings of Figs. 2 and 3 . Differences in measures of network connectivity due to the rod's passage were apparent in terms of network integration, segregation, but not small worldness as compared to the unlesioned, healthy network. Specifically, when removing those cortical areas and fiber pathways intersected by the iron, characteristic path length was found to be significantly decreased in Gage compared to the intact network ( p ≤0.0001), mean local efficiency was decreased ( p ≤0.0001), while small worldness showed no statistical difference ( p ≤0.9467, ns). Regionally-specific network theoretical metrics in the affected regions and those to which they connect were also affected (see Fig. 5A ). This suggests that, not surprisingly, with significant loss of WM connectivity between left frontal regions and the rest of the brain, the surviving network of brain was likely to have been heavily impaired and its functions considerably compromised.

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A) Cortical maps of regional graph theoretical properties. Regions affected by the passage of the tamping iron include those having relatively high betweenness centrality and clustering coefficients but relatively low mean local efficiency and eccentricity. B) A cortical surface schematic of the relative effects of systematic lesions of similar WM/GM attributes over the cortex for both network integration (i) and segregation (ii). For each mapping, colors represent the Z-score difference between systematic lesions of that area relative the average change in integration taken across all simulated lesions. C) Cortical maps of the differences/similarity between the effects on integration and segregation observed from the tamping iron lesion with that of each simulated lesion. Here black is most similar (e.g. the observed lesion is most similar to itself) whereas white is least similar to (e.g. most different from) the tamping iron's effects on these measures of network architecture.

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To further provide a baseline for comparison of the tamping iron lesion against similarly-sized lesions located elsewhere in the cortex, we conducted a systematic random simulation of 500 similarly-sized lesions across our N = 110 healthy subject cohort. The network containing the lesion due to the tamping iron was systematically compared against the distributions of the above mentioned metrics from the simulated lesion set. When paired t -statistics were computed to determine whether tamping iron lesion differed significantly from the standpoint of network metric values, standardized with respect to the intact network, as compared to other brain lesions of the same size, the characteristic path length (integration), mean local efficiency (segregation), and small worldness, while significantly different from that of the intact networks, were not found to be more severe than the average network properties of average similarly sized GM/WM lesion. These results are summarized in Fig. 5B and 5C . These indicate that alterations to network integration resulting from the tamping iron lesion resulted in greater average path length than that of the intact network but which was less than the average effects of other equally sized lesions. Likewise, segregation, as measured using mean local efficiency, was reduced compared to the intact network, but greater than the average effects of the simulated lesions. These results suggest that Mr. Gage's lesion, while severe and certain to have affected WM connectivity in his left cerebral hemisphere and throughout his brain, could have been considerably more severe had the tamping iron pierced other areas of his brain.

The case of Phineas Gage is among the most famous and infamous in the history of brain science. The interpretations of his incredible injury and attempts to characterize it have been ongoing since soon after it occurred. Our consideration sought to provide a modern connectomic understanding of Mr. Gage's injury and put it into context as involving brain WM in addition to the GM damage discussed by other authors. While we, too, are constrained by the relics left from Mr. Gage's life and what evidence can be gleaned from them, work detailed in this article differs considerably from previous examinations of this case and topic in several key areas: we 1) precisely model the trajectory of the tamping iron through high resolution computed tomographic data of Mr. Gage's skull - a rare imaging data set that, until now, had been lost to science for over a decade; 2) geometrically fit N = 110 age, gender, and handedness matched modern subject MRI brain volumes into the Gage cranial vault to assess average cortical metrics and their degree of variability; 3) in so doing, illustrate that while ∼4% of the cortex was intersected by the rod's passage, ∼11% of total white matter was also damaged, and provide estimates of the degree of damage experienced under a well-established brain parcellation scheme; 4) map high angular resolution diffusion neuroimaging tractography into the same space to measure damage to the pair-wise connections between atlas-defined cortical regions; and 5) compare the graph theoretical properties of the observed lesion against those expected from theoretically similar lesions systematically located throughout the brain. In what follows, we comment on our approach and findings.

Trajectory of the Tamping Iron

Various descriptions of the trajectory of the tamping iron through the Mr. Gage's skull have been given, which has understandably led to differing opinions about which parts of his brain were subjected to damage. Harlow, the physician responsible for Gage's initial treatment, documented that only the left hemisphere had been affected while the right remained unaffected [24] . In contrast, Bigelow maintained that some right-sided damage must have occurred. Dupuy [25] agreed with the left sidedness of the trajectory but placed it more posterior, claiming that motor and language areas had been destroyed – supporting the anti-localizationist arguments popular of the era. Ferrier [26] , illustrating that the motor and language areas had been spared, concluded that damage was limited only to the left hemisphere – a conclusion later echoed by Cobb [27] . In their measurements, Damasio et al. estimated the damage to be more frontal and right sided, whereas Ratiu and colleagues concluded that damage was limited to the left frontal lobe and that it did not cross the midline. Central to these differences in interpretation is likely to be how mandible position has been considered. To satisfy the observed anatomical constraints with the mouth closed would result in a greater right-sided inclination of the rod. Yet, as Harlow originally noted, Gage was in the act of speaking to his men at the moment of the injury and, thus, his mouth was likely open. We observe that with the jaw opened, the best-fit rod trajectory satisfying all constraints does not intersect or cross the superior sagittal sulcus and the injury is specific to the left frontal lobe. Thus, our conclusions are congruent with those of Harlow, Ferrier, as well as with those of Ratiu and Talos and, given the detailed computational approach taken, seem to provide the most likely reconstruction of the acute damage caused by the tamping iron.

Alterations of Network Connectivity Due to the Tamping Iron

The loss of ∼11% total WM volume in the left frontal lobe suggests that the iron's effects on Mr. Gage's brain extended well beyond the loss of left frontal GM alone. Overall differences in metrics of network integration as well as segregation were observed relative to intact connectivity, suggesting widespread disruption of networks involving damage to the left frontal and temporal pathways. Alterations indicate major changes to global network topology which affected network-wide efficiency. In the healthy cohort examined here, the region-to-region WM connectedness when in the presence of the rod was found to be associated with several important fiber bundles. Specifically, connectivity was affected between the frontal lobes and the basal ganglia, the insula, limbic, and other major lobes of the left hemisphere, in addition to right frontal, insular, and limbic areas. This severed portions of the uncinate fasciculus (UF) - connecting parts of the limbic system such as the hippocampus and amygdala in the temporal lobe with frontal regions such as the orbito-frontal cortex. The cingulum bundle - the collection of WM fibers projecting from the cingulate gyrus to the entorhinal cortex, allowing for communication between components of the limbic system – was also damaged. Additionally, the superior longitudinal fasciculus (SLF) was impacted – the long bi-directional bundles of neurons connecting the rostral and caudal aspects of the cerebrum in which each association fiber bundle is lateral to the centrum ovale linking the frontal, occipital, parietal, and temporal lobes. Fibers here pass from the frontal lobe through the operculum to the posterior end of the lateral sulcus, where numerous processes radiate into the occipital lobe while others turn downward and forward around the putamen and project to anterior portions of the temporal lobe. The occipito-temporal projection [28] in humans connects the temporal lobe and occipital lobe, running along the lateral walls of the inferior and posterior cornua of the lateral ventricle. The connectivity of the orbital cortex with temporal lobe regions via the UF which is among the last to complete myelination in development [29] , has been shown to be particularly affected in patients with mental illness [30] , and to be related to cognitive deficits in TBI [31] , [32] . WM fascicular damage in these instances was likely an important factor in Gage's reported post-injury symptomatology as well as in his reported and putative behavioral issues.

The obtained results suggest that GM damage had wider reaching influence than previously described and compromised several aspects of Gage's network of WM connectivity. Regions whose connectivity within and between cerebral hemispheres were affected included: the left frontal lobe (the transverse fronto-polar gyrus, fronto-marginal gyrus, middle frontal gyrus, lateral orbital sulcus, orbital sulcus, oribital part of the inferior frontal gyrus, triangular part of the inferior frontal gyrus, inferior frontal sulcus, medial orbital sulcus, orbital gyri, superior frontal gyrus, and opercular part of the inferior frontal gyrus); left insular cortex (horizontal and vertical ramus of the anterior segment of the lateral sulcus/fissure, the anterior/inferior/superior segments of the circular sulcus of the insula, short insular gyri, and long insular gyrus and central insular sulcus); and the left temporal lobe (the temporal pole and polar plane of the superior temporal gyrus) ( Fig. 3 ). The marginal and bivariate probability distributions of average brain-normalized WM fiber bundle length (w ij ) and proportion of GM density lost (g ij ; Fig. 4a–c ) unsurprisingly indicated a considerable number of relatively short connections being affected locally by the presence of the rod while, additionally, a considerable number of longer fiber bundles connecting relatively large regions of cortex were also impacted.

Alterations to these connections contribute to the significant reductions in characteristic path length and mean local efficiency of the remaining network after removal of the affected fibers. That no significant difference was observed concerning the small worldness of the tamping iron network as compared to the intact network suggest that a lesion of this size and scope, while severe, may not had appreciable effects on the degree of clustering of unaffected nodes Mr. Gage's brain relative to randomly degree-equivalent versions of that network. On the other hand, the average simulated lesion did show a significant reduction in small worldness, indicating that regions other than those affected may have more influence over the degree of measured network clustering. Thus, Mr. Gage's unaffected network may have still maintained its small world architecture of nodal clustering and presumed functional integrity, despite loss of major frontal and temporal lobe participation in the system resulting in deficits to measures network integration and segregation.

Several previous articles have precisely investigated the direct effects of node deletions of various size on network connectivity and architecture [33] , [34] , [35] . In particular, the paper by Alstott et al. provides a detailed examination of simulated lesion effects on brain networks both in terms of lesion location and extent. In their study of structural and functional connectivity data from N = 5 healthy subjects, they found that lesions to midline areas resulted in more profound effects on various network metrics than do more lateral brain regions. As might be expected, the magnitude of change was dependent upon the number of nodes removed from the network and the manner in which they were removed. Their observations indicate that networks may be insensitive to lesions involving random node removal or where node removal was based only upon a node's degree of connectedness. However, network lesioning based upon the targeted removal of nodes having high betweenness centrality - a measurement of the number of shortest paths from all vertices to all others which pass through a given node - resulted in greater network vulnerability as evident from significant reductions in global efficiency in contrast to random lesioning. This result is particularly compelling in regards to assessing the robustness of cortical architecture in the face of brain damage to major network hubs localized proximal to the cortical midline.

There is little doubt that a tamping iron injury to central nodes of the frontal lobe would have severely impacted Gage's brain connectivity. Fig. 3 shows the extent of white matter damage and the effects on several measures of network connectivity, including regional betweenness centrality, local efficiency, clustering coefficient, and eccentricity. Note that this illustration differs from Fig. 2 in that the inner-most rings are now colored according to the respective average nodal connectivity metrics in the presence of cortical loss incurred from the tamping iron. Additionally, Fig. 5A illustrates the spatial distribution of these regional connectivity metrics over the cortex when pooled across the intact healthy networks from our sample (sub-cortex not shown). We note that, as observed by Alstott et al., areas of relatively high betweenness centrality tended to be located along the frontal midline. Other metrics show similar regional concentrations ( Fig. 5Aii–iv ). However, while intact frontal areas of both hemispheres show high betweenness centrality ( Fig. 5Ai ), the regions of tamping iron damage encompassed many other regions as well having relatively less betweenness centrality, e.g. TrFPoG/S, RG, SbCaG, TPo. Removal of these areas, as illustrated by the various metric rings in the left frontal segment of the connectogram in Fig. 3 , has wide ranging effects on the regionally-specific network metrics in unaffected brain regions.

It is evident that removal of these areas produce significant effects on global metrics of network segregation and integration. However, from systematic lesion simulation using a similar extent of GM/WM involvement, the effects on Mr. Gage's network integration and segregation were not found to be more severe that that observed from the “average” lesion. Clearly, a larger lesion would have affected a greater number of network nodes including various hubs resulting in further deleterious effects on network integration and segregation. Moreover, a different lesion altogether would have possibly resulted in more outwardly obvious sensorimotor deficits. Located in occipital cortex, for instance, the lesion might have resulted in sensory-specific changes in connectivity (e.g. blindness), or one involving more of the sub-cortex and brain stem could have been more clinically serious and resulted in death. Nevertheless, the observed damage illustrates that severe network insult affecting the majority of left hemisphere connectivity as well as right hemispheric inter-connections, was experienced. Such damage can be expected to have had its influence over the normal functioning of many regions non-local to the injury and their subsequent connectivity as well.

Therefore, in light of these observations, it would be safe to conclude that 1) Mr. Gage's injury very likely destroyed portions of the central hub structure in left frontal midline structures as well as temporal pole and limbic structures which have extensive connectivity throughout the left hemisphere as well as inter-hemispherically, 2) that the tamping iron's passage did not specifically remove only the most central network hubs but a host of regions having a range of network properties, and 3) that such damage to important network hubs connection to other brain regions having secondary levels of centrality, clustering, etc. are likely to have combined to give rise to the behavioral and cognitive symptomatology originally reported by Harlow. Knowledge of Gage's affected connectivity help provide clarity and context for symptomatologies subsequently only inferred by others.

Implications for Gage's Reported Behavioral Changes

Traumatic brain injury of the frontal cortices is often associated with profound behavioral alterations, changes mood [36] , working memory [37] and planning deficits [38] , [39] , social functioning [40] , among other cognitive symptoms [41] , [42] , [43] , [44] . Alterations to functional connectivity have also been reported [45] , [46] which, in addition to cortical damage, likely related to accompanying diffuse axonal injury [47] , [48] . It is also worth noting neurodegenerative diseases, such as the leukodystrophies [49] , Alzheimer's Disease (AD) [50] , [51] , and early-stage frontotemporal dementia (FTD) [52] , also have effects on brain networks involving connectivity of the frontal lobe. Altered structural connectivity in these disorders illustrates changes in large-scale brain network organization deviating from healthy network organization [53] , with possible effects on resting state connectivity [54] . Disruptions of WM connectivity are also known to underlie elements of psychiatric illness [55] , [56] , [57] which are associated with behavioral alterations not dissimilar to those reported in Mr. Gage.

In particular, network damage, predominantly of the left basal forebrain and of its connections throughout the left as well as into right frontal cortices, was particularly extensive. Processing of emotion stimuli have been associated with connectivity of the frontal cortex and amygdala, in particular involving the connectivity of the uncinate fasciculi [58] . Thus, in addition to disinhibition symptoms considered by Damasio et al., with evidence of potentially greater degree of WM rather than cortical injury, there is also similarity between Mr. Gage's behavioral changes and network alterations observed in FTD and related WM degenerative syndromes. This suggests that network topological changes may have been the source of Mr. Gage having not only executive function deficits but also problems resulting from damage to connections associated with the encoding of episodic memory as well as the processing of emotion – consistent with reports on changes in his personality.

Historical Implications of Gage's WM Damage

While observations of severe network damage and their resulting affects may not be surprising given that which has been documented of Mr. Gage's accident and behavioral changes, one can only speculate upon the possible contribution to Gage's survival, recovery, and the uniqueness of changes to his WM networks. Macmillan [3] has noted that many reports on Gage's behavioral changes are anecdotal, largely in error, and that what we formally know of Mr. Gage's post-accident life comes largely from the follow-up report of Harlow [23] according to which Gage, despite the description of him having some early difficulties, appeared to adjust moderately well for someone experiencing such a profound injury. Indeed, the recent discovery of daguerreotype portraits of Mr. Gage show a “handsome…well dressed and confident, even proud” man [59] in the context of 19 th century portraiture. That he was any form of vagrant following his injury is belied by these remarkable images. While certainly neuroanatomically profound, the changes to his cognitive capacities were much more subtle upon his full recovery than may have been otherwise described. In spite of recovering from severe brain trauma, his mental state appears to have eventually stabilized sufficiently for him to travel throughout New England, take on several (some might say menial) forms of employment, travel through South America for several years, and to return to his family in the Western US, before succumbing to epilepsy which was presumably related to the injuries directly affecting his WM connectivity. That his network damage, though extensive, was not apparently more severe than an “average” brain lesion would incur may help to explain his ability to have sufficiently recovered in spite of the residual behavioral changes reported by Harlow.

Limitations of our Study

We have worked to provide a detailed, accurate, and comprehensive picture of the extent of damage from this famous brain injury patient and its effect on network connectivity. While the approach used here to model the tamping iron's trajectory is precise and the computation of average volume lost across our population of subjects is reflective of the acute level of damage, we acknowledge that there was likely more damage than that caused by its presence alone. The iron likely propelled unrecovered bone fragments through the brain. The resulting hemorrhage from the wound was also considerable. Subsequent infection and a large abscess took further toll. Consequently, more GM and WM tissue may have been lost than estimated here. Like Damasio et al. and Ratiu et al. , we make the assumption that Gage's brain and its position within the skull can be estimated from the structure of the skull itself, and that its sub-regions, WM, and connective anatomy can be localized through population averaging. Such a supposition may have its limitations and could be open to debate. Nevertheless, ours represents the best current estimation as to the extent of brain damage likely to have occurred at the level of both cortex and WM fiber pathways. We also have no way of assessing the biochemical cascade of changes to biomarker proteins measureable post-injury in modern TBI patients which may also have influenced the trajectory of Mr. Gage's recovery.

Another potential criticism is that we compare the loss of GM, WM, and connectivity in Mr. Gage by computationally casting the tamping iron through the WM fibers of healthy age- and gender-matched subjects and measuring the resulting changes in network topology. We also systematically lesion the brains of our healthy cohort to derive “average” network metrics and compare the observed values with respect to them – an approach that has been recommended elsewhere [35] . This technique is helpful for creating a representative expectation of inter-regional connectivity against which to compare observed or hypothetical lesions. However, some might consider this approach to be misguided in this instance due to the fact that Mr. Gage's brain was damaged in such a way that he survived the injury whereas a host of other lesions resulting from penetrative missile wounds would likely have resulted in death. Indeed, as noted originally by Harlow, the trajectory of the 110 cm long, 3.2 cm thick, 13 lb. tamping iron was likely along the only path that it could have taken without killing Mr. Gage. Thus, any distribution of lesioned topological values might not provide a useful foundation for comparison because the majority of these penetrative lesions would, in reality, be fatal. We recognize these concerns and the practical implications for subject death which would also be a caveat of other network theoretical applications of targeted or random network lesioning. Indeed, such considerations are something to be taken into account generally in such investigations. Nevertheless, our simulations provide supporting evidence for the approximate neurological impact of the tamping iron on network architecture and form a useful basis for comparison beyond utilizing the intact connectivity of our normal sample in assessing WM connectivity damage. So, while this might be viewed as a limitation of our study, especially given the absence of the actual brain for direct inspection, the approach taken provides an appropriate and detailed assessment of the probable extent of network topological change. All the same, we look forward to further work by graph theoreticians to develop novel approaches for assessing the effects of lesioned brain networks.

Conclusions

In as much as earlier examinations have focused exclusively on GM damage, the study of Phineas Gage's accident is also a study of the recovery from severe WM insult. Extensive loss of WM connectivity occurred intra- as well as inter-hemispherically, involving direct damage limited to the left cerebral hemisphere. Such damage is consistent with modern frontal lobe TBI patients involving diffuse axonal injury while also being analogous to some forms of degenerative WM disease known to result in profound behavioral change. Not surprisingly, structural alterations to network connectivity suggest major effects on Mr. Gage's overall network efficiency. Connections lost between left-frontal, left-temporal, right-frontal cortices as well as left limbic structures likely had considerable impact on executive as well as emotional functions. Consideration of WM damage and connectivity loss is, therefore, an essential consideration when interpreting and discussing this famous case study and its role in the history of neuroscience. While, finally, the quantification of connectomic change might well provide insights regarding the extent of damage and potential for clinical outcome in modern day brain trauma patients.

Ethics Statement

No new neuroimaging data was obtained in carrying out this study. All MRI data were drawn from the LONI Integrated Data Archive (IDA; http://ida.loni.ucla.edu ) from large-scale projects in which subjects provided their informed written consent to project investigators in line with the Declaration of Helsinki, U.S. 45 CFR 46, and approval by local ethics committees at their respective universities and research centers. Research neuroimaging data sets deposited with the LONI IDA and made available to the public are fully anonymized with respect to all identifying labels and linked meta-data for the purposes of data sharing, re-use, and re-purposing. IDA curators do not maintain linked coding or keys to subject identity. Therefore, in accordance with the U.S. Health Insurance Portability and Accountability Act (HIPAA; http://www.hhs.gov/ocr/privacy ), our study does not involve human subjects' materials.

Medical Imaging of the Gage Skull

Medical imaging technology has been applied to the Gage skull on three known occasions to model the trajectory of the tamping iron, infer extent of GM damage, and theorize about the changes in personality which a patient with such an injury might have incurred. In an influential study, Damasio and coworkers [7] used 2D X-rays to obtain the dimensions of the skull itself and to compute the trajectory of the iron bar through the regions of frontal cortex based on independently obtained CT data from a normal subject. Prior to this, CT scanning of the skull had been obtained by Tyler and Tyler in 1982 for presentation and discussion at a neurological scientific meeting. The location of the raw CT data files from this imaging session is unknown but the data were last reproduced in An Odd Kind of Fame (Appendix E), though they were not part of any other scientific publication of which we are aware. The most recent occurrence of scanning on record was performed on June 12 th , 2001 through the Surgical Planning Laboratory (SPL) at Brigham and Women's Hospital, Harvard Medical School. A series of two high-resolution CT image series were obtained of the skull: one covering the portion of the jaw up to approximately the bridge of the nose, and another covering the cranial vault (see details below). These data were used by Ratiu et al. [8] , [60] to digitally reconstruct and animate the passage of the tamping iron through the skull. An additional CT image of the Gage life-mask, a plaster likeness presumed to have been commissioned by Dr. Bigelow during one of Gage's visits to Harvard Medical School, was also obtained and used to create a surface model of Mr. Gage's face, scalp, and neck. New CT or other medical imaging of the skull specimen is unlikely to be performed in the future due to the age and fragile state of the specimen.

Documented Extent of Neurological Damage

In the book An Odd Kind of Fame (2000, pg 85), Macmillan conveniently summarizes the reports from various anatomists on the damage to Gage's brain. We reproduce these summaries here and also add the findings of Ratiu et al. [8] which appeared after the publication of An Odd Kind of Fame .

Skull CT Data Processing

Due to a variety of circumstances, the raw and processed digital imaging data from the 2001 CT imaging session at Brigham and Women's Hospital were improperly archived and effectively lost to science. However, these image volumes were subsequently recovered by the authors and represent the highest quality data/resolution available (0.5 mm slice thickness) for modeling the skull of this noted patient and for use in the modeling of affected anatomy and connectivity. The scan data were originally obtained with the superior, cut portion of the calvarium and the mandible in the correct anatomical position on a Siemens Somatom CAT scanner (Siemens AG, Erlangen, Germany), in the Department of Radiology, Brigham and Women's Hospital (Boston, MA) [8] . These data were converted from ECAT format to the NIFTI file format ( http://nifti.nimh.nih.gov ) using the program “mri_convert” – part of the FreeSurfer neuroimaging data analysis software package (surfer.nmr.mgh.harvard.edu/fswiki/mri_convert). The CT images were systematically segmented and masked by hand using MRICron ( http://www.cabiatl.com/mricro/mricron/index.html ) and seg3D ( http://www.sci.utah.edu/cibc/software/42-seg3d.html ) to isolate the skull cap (the portion of the skull created by its being cut with a saw upon deposition at the Warren Museum by Dr. Harlow), each piece of remaining/healed bone fragments, the left frontal/temporal portion of the skull along the readily evident fracture lines, and the lower jaw, and separate 3-D surface mesh models were generated for each segment using 3D Slicer ( http://www.slicer.org ). An additional binary image volume was created by hand-filling the space of the cranium that contained Gage's brain. This volume represents a digital version of the standard endocast often used in the analysis of paleontological specimens [61] , [62] , [63] . Use of the Gage skull and life mask CT data is courtesy of the SPL and the Warren Anatomical Museum at Harvard Medical School.

The LONI Pipeline Workflow Environment

For all major image processing operations (e.g. bias field correction, skull stripping, image alignment, etc.) we employed the LONI Pipeline Workflow Environment ( http://pipeline.loni.ucla.edu ; Fig. S1 ). This program is a graphical environment for construction, validation, and execution of advanced neuroimaging data analysis protocols. It enables automated data format conversion, leverages Grid computer systems, facilitates data provenance, and provides a significant library of computational tools [64] , [65] , [66] .

For instance, employing LONI Pipeline, we used the Brainsfit software package ( http://www.nitrc.org/projects/multimodereg/ ) to register the T1 anatomical MRI volumes to the endocast template. Diffusion gradient image data were processed in native subject space using Diffusion Toolkit ( http://trackvis.org ) to reconstruct the fiber tracts. Data processing workflows to compute inter-regional connectivity matrices were constructed using purpose-built software. Fig. S2 illustrates an example connectivity matrix displayed using Matlab (Mathworks, Natick, MA, USA).

Measurements of the Skull

Consistent with Damasio et al. , the physical dimensions of the Gage skull were measured as follows in Table 2 using the Slicer software program. Additionally, the following landmarks were identified on the Gage skull: Entrance of the Left Auditory Canal: (49.56, 219.46, −807.75 mm); Entrance of the Right Auditory Canal: (175.04, 212.26, −802.85 mm); and the Middle of Crease Between Frontal Bone Plate and Nasal Bone: (117.04, 301.73, −800.72 mm). Given these landmarks, all the other points can be accurately positioned.

Measurements of the Tamping Iron

One of our team (MCC) visited the Warren Anatomical Museum and, working with lead curator Dominic Hall, obtained the following measurements of the iron using a SPI Digimax caliper (Model: 30440-2): 110 cm in length, 9.5 cm circumference, and 2.88 cm diameter at tail. The rear taper is approximately 19 cm long, the maximum diameter (between the rear and tip taper) is 10.5 cm circumference (3.2 cm diameter), the taper beginning at the tip is 27 cm long, and the diameter at the rod's tip is 72 mm.

The Trajectory of the Tamping Iron

The trajectory of the tamping iron through Mr. Gage's skull and brain has been the subject of much debate and several attempts have been made to infer the relationship between putative damage on the one hand and the lore surrounding Gage's personality and behavioral changes resulting from his accident on the other. Bigelow [67] first attempted to formally model the trajectory of the rod by drilling a hole through another “common” skull (pg. 21), and noted that “a considerable portion of the brain must have been carried away; that while a portion of its lateral substances may have remained intact, the whole central part of the anterior lobe, and the front of the sphenoidal or middle lobe must have been lacerated and destroyed”. Importantly, Damasio [7] and coworkers provided a detailed analysis of the rod trajectory through the skull attempting to identify which brain regions were impacted by the flight of the iron and what effect this impact had on the patient's post-injury behavior. While this study has been well cited, their methodology for determining the rod trajectory has been subsequently questioned [3] .

Ratiu et al. [60] constrained their modeling of the rod trajectory by noting bony injuries to the skull, and by more closely aligning the rod with the clinical information provided by both Harlow and Bigelow. Ratiu et al. inserted the brain of a single normal subject into Mr. Gage's cranial cavity to examine which structures might have been affected. Their reconstruction shows that the path of the iron passed left of the superior sagittal sinus (their Fig. 4b,d ). This is corroborated by the fact that damage to the superior sagittal sinus would have almost certainly caused air embolism and/or significant blood loss, resulting in Mr. Gage's death. In addition, their reconstruction shows, in their normal subject's brain, that the iron's trajectory was also anterior to the cingulate gyrus and to the left lateral ventricle (their Fig. 4 e,f ). No rhinoliquorhea or other indication of post-traumatic CSF fistula was reported, nor that Gage developed ventriculitis, a condition which very likely would have been lethal - especially in the 1840's before the use of antibiotics in common medical practice. However, there is little way of being empirically precise with respect to location of major structures when employing only a single, example subject to represent Mr. Gage's unknown neuroanatomy.

To address this issue, we fit the T1 anatomical and diffusion images from the N = 110 normal, right handed subjects, aged 25–36 into the space of Phineas Gage's cranial vault to map the probability to regional injury and the effects of the tamping rod on WM fiber connectivity. The process of morphing data into the Gage skull is described in the following sections.

Determining the Trajectory of the Tamping Iron

Using the measurements of the original tamping iron [3] , [8] , [24] , [67] , on display at the Warren Museum, a 3-D model of the tamping iron was generated using Matlab and stored as an VTK surface ( http://www.vtk.org ) for visualization using 3D Slicer and for processing using the segmented brain regions and fiber tracts morphed into the space of the Gage 3D cranial endocast volume model.

To constrain the trajectory of the rod through the Gage skull, we examined the work of previous authors to identify noteworthy statements on the condition of the skull, particular patterns of breakage, chips in the bone, and other prominent features that could be used as landmarks to restrict the possible paths which the rod might have taken ( Fig. S3 ). For instance, the left maxillary molar is missing and osteological analysis by the Warren Museum states that it was lost ante-mortem (Object File WAM 00949, Warren Anatomical Museum, Francis A. Countway Library of Medicine). While Harlow and/or Bigelow do not specifically mention the loss of this tooth, it is likely that the rod made contact with it after passing through Gage's cheek, and was either dislodged completely or knocked loose and lost sometime during his recovery. Additionally, for the zygomatic arch the Warren Museum records (also WAM 00949) indicate “Maxilla: ante-mortem sharp force trauma remodeling” but are not more specific about the potential for complete breakage of the zygomatic process which was suspected by Ratiu et al. Still, it can be assumed that some contact was made between the iron and the interior portions of the arch. A collection of previously reported observations contributing to the set of applied constraints are noted in Table 3 .

In particular, we concur with Ratiu et al. that Mr. Gage had his jaw open at the moment of the accident. Harlow reports Gage looking over his right shoulder and saying something to his crew at critical moment of the blast. In the casting of possible rod trajectories, the most likely position of the jaw was determined to be −15° in pitch (downward) and 5° in yaw (to the right) relative to the closed position of the jaw. This position allowed the unhindered passage of 1.303×10 3 out of 1×10 9 viable rod trajectories inclusive through the skull. With this jaw position, in contrast to the suspicion of Bigelow, we noted no contact between the rod and that of Mr. Gage's coronoid process. Jaw rotations at greater pitch angles were inconsequential to our results. Therefore, these values represent the minimal angular jaw deflections needed to allow the maximal number of rod passage scenarios without jaw intersection. Additionally, these values are typical for the acts of speaking and mastication in which the maximum typical jaw pitch extension in males is ∼30° [68] . Assuming the jaw to be in a completely closed position forces rod trajectories to incline more toward the right hemisphere in order to avoid contact with the jaw and breaking it - as may result from the trajectories identified by Damasio et al. Having the jaw open provides a greater number of possible paths which are closer to the vertical axis, which thus does not enforce an intersection of the rod with the right hemisphere ( Fig. S4A , B, D; Fig. S5 A–D). The rod's intersection with white matter fiber tractography was thereby determined ( Fig. S6 ). Movie S1 illustrates the path of the tamping iron through Mr. Gage's skull and the white matter fiber pathways of his left hemisphere.

Normal Subjects

T1 anatomical MRI and 64-direction diffusion tensor images (DTI) from N = 110 right-handed male subjects between the ages of 25 and 36 were selected from the LONI Integrated Data Archive (IDA; http://ida.loni.ucla.edu ). The age range was specifically selected to match the age at which Mr. Gage received his injury (25 years old) as well as the age at which he succumbed as a presumed result of the brain damage he experienced (36 years old). Subjects were all healthy “normals” with no neurological or history of psychiatric illnesses.

Segmentation and Parcellation

Segmentation and regional parcellation were performed using FreeSurfer [69] , [70] , [71] following the nomenclature described in [72] . For each hemisphere, a total of 74 cortical structures were identified in addition to 7 subcortical structures and to the cerebellum. The 82 cortical and sub-cortical label names were assigned per hemisphere to each brain based upon the nomenclature described in Destrieux et al. [72] . Regional parcellation was performed using FreeSurfer [73] , [74] , [75] , [76] (see also above). The numbers of hemispheric partitions in the segmentation was as follows – frontal (21), insula (8), limbic (8), temporal (12), parietal (11), occipital (14), basal ganglia (8), and brain stem (1). The complete coding scheme is as presented describing the parcellation scheme naming convention ( Table 6 ) and their abbreviations ( Table 7 ), which can be used to identify the regional labels in Figs. 2a and 3 .

Connectogram Design

Neuroanatomical structure and connectivity information were graphically depicted in a circular diagram format using freely available Circos software ( [77] , www.cpan.org/ports ). Briefly, Circos is a cross-platform Perl-based application which employs a circular layout to facilitate the representation of relationships between pairs of positions by the use of various graphical elements, including links and heat maps. While traditionally used to render genomic information, Circos can be effectively adapted to the exploration of data sets involving complex relationships between large numbers of factors. In our case, cortical parcellations were represented as a circular array of 165 radially aligned elements representing the left and right cerebral hemispheres, each positioned symmetrically with respect to the vertical axis. We term this representation a “connectogram”. The brain stem was positioned at the most inferior extremity of the Circos ring as a consequence of its inclusion as the only midline structure. In this manner, Circos' ability to illustrate chromosomes was modified for lobar depiction, while its functionality for illustrating cytogenetic bands was modified to represent cortical parcellations. As previously described, each parcellation was assigned an arbitrary but unique RGB color (see below). Parcellations were arranged within each lobe in the order of their location along the antero-posterior axis of the cortical surface associated with the published FreeSurfer normal population atlas [72] . To determine this ordering, the center of mass was computed for the GM surface portion associated with each parcellation, and the order of all parcellations was determined based on the locations of these centers of mass as their distance from the frontal pole increased along the antero-posterior coordinate axis. A LONI Pipeline workflow for the creation of the connectogram images using parcellation and connectivity matrix information is available upon request from the authors. A complete description of the methods for connectogram construction can be found in [78] with applied examples in [79] .

Color Coding Schemes

Each cortical lobe was assigned a unique color scheme: black to red to yellow (Fro), charlotte to turquoise to forest green (Ins), primrose to lavender rose (Lim), pink to lavender to rosebud cherry (Tem), lime to forest green (Par), and lilac to indigo (Occ). Each structure was assigned its unique RGB color based on esthetic considerations; e.g. subcortical structures were colored light gray to black. Color scheme choice and assignment to each lobe were made by taking into account the arrangement and adjacency of lobes on the cortical surface, with the goal of avoiding any two adjacent lobes from having overlapping or similar color schemes which were too similar. The individual colors of the scheme associated with any particular lobe were assigned to every parcellation within that lobe in such a way as to create a distinct contrast when displayed on cortical surfaces ( Fig. S2 ) or on the connectogram graphics ( Figs. 2 and 3 ). The particular regional color mappings employed in this article can be considered arbitrary and are not intended to convey any universal or standard regional color scheme, per se .

Representation of Cortical Metrics

Within the circular framework representing the cortical parcellations, five circular heat maps were generated, each encoding one of five structural measures associated with the corresponding parcellation. Proceeding inward towards the center of the circle in Fig. 2 , these measures were: total GM volume, total area of the surface associated with the GM-WM interface (forming the base of the cortical ribbon), mean cortical thickness, mean curvature and connectivity per unit volume. For subject-level analysis, these measures were computed over the entire volumetric (or areal, as appropriate) extent of each parcellation; for the population-level analysis, they were averaged over all subjects.

Values for each measure were mapped to colors, using a scheme that ranged from the minimum to the maximum of the data set. For example, the cortical thickness t with values ranging from t min to t max was normalized as t 1  = ( t − t min )/( t max − t min ). The latter value was mapped onto a unique color from the color map of choice. Thus, for example, hues at color map extremities correspond to t min and t max , as required. For subcortical structures, brain stem and cerebellum, three measures (area, thickness and curvature) were unavailable on a parcellation-by-parcellation basis; their corresponding heat map entries were consequently left blank.

The connectogram in Fig. 3 , illustrating the effects of the tamping iron lesion, represents the individual regionally-specific network metrics (i.e. betweenness centrality, eccentricity, mean local efficiency, and clustering coefficient) and are colored distinctly to be consistent with the cortical maps of the same but unaffected network metrics presented in Fig. 5A . The inner-most ring of the connectogram in Fig. 3 represents the average proportion of regional GM loss taken across subjects.

Connectivity Calculation

To compute connectivity between regions for each subject, the location of each fiber tract extremity within the brain was identified, while the GM volume associated with each parcellation was also delineated. For those fibers which both originated as well as terminated within any two distinct parcellations of the 165 available, each fiber extremity was associated with the appropriate parcellation. For each such fiber, the corresponding entry in the connectivity matrix (e.g. Fig. S2 ) of the subject's brain was appropriately updated to reflect an increment in fiber count [80] , [81] . Each subject's connectivity matrix was normalized over the total number of fibers within that subject; for population-level analysis, all connectivity matrices were pooled across subjects and averaged to compute probabilistic connection probabilities.

Connectivity Representation

For subject-level connectograms, links were generated between any two parcellations whenever a WM tract existed between them. In population-level analyses, the former was done whenever there was a non-vanishing probability for a WM tract to exist between the two regions ( Fig. 2 ). Links were color-coded by the average fractional anisotropy (FA) value associated with the fibers between the two regions connected by the link, as follows. The lowest and highest FA values over all links ( FA min and FA max , respectively) were first computed. For any given connection i where i  = 1, …, N ( N being the total number of connections), the FA value FA i associated with that connection was normalized as FA′ i  = ( FA i − FA min )/( FA max − FA min ), where the prime indicates the FA i value after normalization. After this normalization, FA′ i values were distributed in the interval 0 to 1, where 0 corresponds to FA min and 1 corresponds to FA max . The interval 0 to 1 was then divided into three subintervals (bins) of equal size, namely 0 to 1/3, 1/3 to 2/3, and 2/3 to 1. For every i  = 1, …, N , link i was color-coded in either blue, green or red, depending on whether its associated FA′ i value belonged to the first, second, or third bin above, respectively. Thus, these bins represent low, medium, and high FA. In addition to encoding FA in the link's color as described, relative fiber density (the proportion of fibers for each connection out of the total number of fibers) was also encoded as link transparency. Thus, within each of the three FA bins described, the link associated with the highest fiber density within that bin was rendered as completely opaque, whereas the link with the lowest fiber density was colored as transparent as possible without rendering it invisible. For example, the link with FA′ i  = 1/3 was colored as opaque blue, whereas the link with the lowest FA′ i value was colored as most transparent blue. Similarly, the link with FA′ i  = 2/3 was colored as opaque green, and the link with the lowest value of FA′ i greater than 1/3 was colored as faintest green. The links associated with the lowest fiber densities were drawn first, and links with progressively larger relative fiber densities were drawn on top of the former. The process was successively repeated by drawing links with higher fiber densities on top of links with lower fiber densities. Thus, links associated with the largest fiber densities were drawn “on top” of all other links.

Representation of Connectivity Affected by Pathology

Links associated with fibers affected by pathology were designed to encode fiber density using the same transparency coding scheme as described in the previous subsection. In contrast with the case of healthy fibers, however, two different color schemes were used to encode pathology. Whenever fibers existed between one cortical region that was affected by pathology and another that was not, the color used to draw the corresponding link was brown. By contrast, links between parcellations that were both affected by pathology were drawn using the color gray. This allows one to visually distinguish between connections that involve only one affected region (brown links) and connections that involve two regions that were both affected (grayscale links) ( Fig. 3 ).

Calculation of Pathology Effects upon GM/WM Volumetrics

case study of phineas gage

The calculation described above estimated the amount of GM that was directly affected by the passage of the rod. To compute the total amount of GM that was affected by pathology, however, it is not sufficient to compute the sum of directly lesioned GM parcellation volumes because pathology-affected GM includes cells with intact somas whose axons were nevertheless injured in at least one location along their paths. In other words, a population of neurons whose GM axons were destroyed or affected in spite of their somas being outside the volume of direct injury should also be taken into account when computing the amount of affected GM. Furthermore, the destruction of fibers originating in some parcellated region r 1 that had been directly affected by pathology could also have affected the GM in parcellations to which r 1 is connected by WM fibers originating in r 1 . Consequently, an appropriate calculation of the total GM volume affected by pathology must take into account available quantitative information concerning the extent to which WM fibers affected by pathology could indirectly affect GM as well. To obtain and interpret such information meaningfully, one can use the measures of GM and WM atrophy described below:

case study of phineas gage

Average Percentages of Brain Regions Intersected by the Rod

The average percentage regional volumes (and their standard deviations) intersected by the rod pooled over N = 110 subjects are listed in Table 7 and illustrated graphically in the connectogram of Fig. 3 .

Network Analysis

Because network theory can provide essential insight into the structural properties of cortical connectivity networks in both health and disease [83] , several network metrics of particular significance were computed for each subject, starting with the degree of each node. In our case, nodes were denoted by parcellated regions and edges were represented by fiber tracts. Nodal degree is the number of edges connected to a node and its calculation has fundamental impact upon many network measures; moreover, node degree distributions are highly informative of network architecture. The entry indexed by i and j in the distance matrix of the graph contains the minimum weighted physical length of the path connecting vertices i and j and was computed using the algebraic shortest paths algorithm [84] . Degree of connectivity is represented as the inner-most ring in Fig. 2 , though was not analyzed further beyond its being utilized in the computations of some of the overall network metrics detailed below.

The measurement of network attributes can be generally broken down into the examination of overall network integration – the measurement of path lengths between nodes in a network and the extent of network-wide interaction and ease of communication between distinct regions; segregation – the extent to which nodes of the network group themselves into separate communities; and small worldness – the quantification of the generally shorter path lengths and higher clustering observed in many biological and technological networks with respect to randomly connected systems [85] . To specifically measure these overall network properties, we chose to focus on three particular metrics. To assess network integration from each subject's connectivity matrix we measured the characteristic path length, a measurement of the global average of a graph's distance matrix [86] . Appropriate to our application, the weighted characteristic path length of a network may be altered as a result of brain trauma [87] . To measure the degree of segregation, we computed the mean local efficiency of each network. Investigating network segregation can be important because it can reveal how much information brain regions are able to exchange as well as the extent to which such regions remain structurally segregated from each other. In this instance, reduced efficiency might be expected as a result of a severe penetrating head wound. Finally, we measured network small worldness , i.e. the ratio comprised of the observed characteristic path length relative to that observed in a random network having the same degree distribution and the observed clustering coefficient relative to that observed in a random network.

Additionally, to characterize the regionally-specific effects of the tamping iron lesion, we also computed several additional graph theoretical measurements for each parcellated brain region. These included 1) betweenness centrality, measuring the number of shortest paths from all vertices to all others that pass through that node, 2) local efficiency, the mean shortest absolute path length of at that node, 3) clustering coefficient, measuring the degree to which a node is nodes in a graph is a member of a cluster or clique, and 4) eccentricity, representing the greatest geodesic distance between that node and any other vertex in the graph. Metrics were computed for each subject and averaged with respect to weighting by subject-wise regional parcellation volume. To be consistent with other studies reporting these regionally-specific values, we chose not to normalize them with respect to those obtained in equivalent random networks. Averages of these metrics are illustrated in Fig. 5a(i–iv) along with linear colorbars indicating the ranges of observed mean values. Effects on these metrics in the presence of the tamping iron can be seen as the first four of the inner-most rings of the connectogram presented in Fig. 3 .

Several additional global as well as local graph metrics were computed but not reported here due to potentially excessive colinearlity, imprecision, or due to recognized difficulty with interpretation. For instance, network modularity [88] was not considered due to the heuristic nature of its computation and tendency to provide unreliable values upon repeated estimation. While many of these other network metrics are well known and have their unique advantages [83] , the ones chosen parsimoniously capture the overall changes in network architecture for this patient and the extent to which his injury would compare to similarly-sized lesions in other areas of the cortex. The Brain Connectivity Toolbox (BCT; https://sites.google.com/a/brain-connectivity-toolbox.net/bct/Home ) was used for all weighted and unweighted connection density- and path-length related graph theoretical computations [84] .

For each of the global graph theory measures described above, the mean and standard deviation was computed for each subject in both intact (healthy) and pathology-affected scenarios (the tamping iron lesion as well as simulated lesions over the brain). As an additional basis, we also performed a degree-preserving randomization process using the BCT for each subject's intact network, computed the aforementioned network measurements, and report these averaged across subjects. Such normalization has been recently advised by Rubinov and Sporns [84] . In our case, this involved 10,000 “rewiring” iterations of the BCT null_model_und_sign (compiled C-code version of the Matlab code from the “the bct-cpp project”; http://code.google.com/p/bct-cpp ) algorithm per region by subject. To accommodate the computational cost of performing such a randomization process, we utilized fully the 1200 node Linux cluster based at the Laboratory of Neuro Imaging (LONI) at UCLA to randomize subjects and regions in parallel. Incidentally, normalization of each network type by its own randomized version has the effect of scaling out differences between networks – lesioned or otherwise – and thus makes the metrics largely insensitive to the effects of network damage. So, to provide a common frame of reference across each network type, the observed metrics for the intact, tamping iron, and simulated lesions were normalized with respect to the degree-preserving randomization of the intact network. Finally, to specifically test the differences between the intact and the tamping iron-lesioned networks between subjects, paired Student's t-tests were applied for each normalized measure to identify significant differences between means at p≤0.01. Results are summarized in Table 5 . Further details on the lesion simulation are provided in the section below.

Equivalent Lesion Simulation and Comparison

To examine the tamping iron lesion's specificity to changes in network structure, we investigated whether changes Gage's brain network properties were significantly different from those that would be expected by chance for the same amount of GM loss located in other regions of the brain. To address this, network properties were computed for a set of simulated lesions systematically positioned over the cortex (excluding the tamping iron lesion itself) and Mr. Gage's network measurements were compared to the distribution of the average metric values taken over subjects and lesions. Specifically, we adopted an approach similar to that of Alstott et al. [89] , who simulated the effects on functional connectivity of targeted lesions distributed in various regions of the cerebral cortex. In our extension of this method, localized area removal was performed by deleting all nodes and their connections within regions consisting of contiguous anatomic parcellations as defined using the methods of Destrieux et al. [72] . In contrast to Alstott et al., however, our structural connectivity simulations also sought to account for additional lesion effects upon WM by modeling the removal of so-called “fibers of passage”. To do so, connectivity network edges between anatomic parcellations neighboring the GM lesion were removed without deleting the corresponding nodes connected by these edges, unless these nodes also belonged to the GM portion of the lesion itself.

The details of our simulation are as follows: 500 distinct lesions were simulated by first populating the cortical surface with 500 distinct sets of contiguous parcellations. Each of these sets was subsequently used as a synthetic “lesion”, subject to the constraints that the percentages of WM and GM lost due to the lesion were the same as had been estimated for Gage's tamping iron injury. This process was repeated until 500 distinct lesions were created uniformly across the brain, and the procedure was repeated for all 110 subjects included in the study. To ensure that each of the lesions had approximately the same position in each subject, lesion configurations were defined using the cortical atlas of Fischl, Dale et al. [71] , and the corresponding location of every lesion in each subjects was identified by mapping the lesion configuration from the atlas to each subject's cortical surface using existing/published FreeSurfer methodology [70] , [90] , [91] . Thus, by the process described above, 500 distinct lesions that were identical in size to Gage's from the standpoint of percentage WM and GM loss were created uniformly over the brain in each of the 110 subjects. Subsequently, each lesion's effect on overall network properties was computed. Global network metrics were then pooled over all subjects and simulations so as to obtain the average (i.e. most probable) value of every metric for each of the 500 simulated lesioned networks.

case study of phineas gage

Finally, we compared the observed effects of the tamping iron lesion on the random network normalized graph theory measures of integration and segregation against that observed for all remaining lesions. Computed as Z-statistics, the results of these comparisons are illustrated graphically for network integration and segregation in Fig. 5c (i and ii) , respectively, and are colored to show those effects most similar to the tamping iron lesion (black), moderately similar (orange), and most dissimilar (white). Generally, as one moves posteriorly away from the Gage lesion site, similarity on network effects tends to be reduced. However, exceptions exist in bilateral post-central gyrus and the left superior and posterior portion of the parahippocampal gyrus.

Supporting Information

The LONI Pipeline Workflow Environment. We applied the LONI Pipeline [93] , [94] for segmentation and registration of the input MRI image volume data, the processing of all DTI tractography, and computation of tract statistics. This grid-based solution provides validation and distribution of new computational tools, and an intuitive graphical interface for developing and executing parallel volumetric processing software. See http://pipeline.loni.ucla.edu for additional details.

https://doi.org/10.1371/journal.pone.0037454.s001

Views of the cortical parcellation of a sample subject. Top rows show the lateral, anterior, and dorsal surfaces; second row shows medial, posterior, and ventral pial surfaces, while the bottom two rows show the same orientations but as inflated pial surfaces to more adequately present the extent of regional parcellations and their color coding. The arbitrarily chosen regional colors are the same as those of the outer-most ring in Figure 2 and whose RGB values are referenced Table 5 are shared by the outer most ring of brain regions on the connectogram images permitting rapid cross-reference.

https://doi.org/10.1371/journal.pone.0037454.s002

Connectivity Matrix. Each row and each column represent distinct parcellated regions where in each cell i,j was computed the number of fibers that were found to begin or end in each region pair, the average FA, and the average fiber length over subjects.

https://doi.org/10.1371/journal.pone.0037454.s003

Modeling of the Skull Fragmentation and the Rod. a) Models of the eyeballs were placed in to the ocular cavities in order to use them as constraints for the trajectory of the tamping iron. According to Harlow's account, the left orbit was extended outward “by half its diameter”. b) The bones of the skull representing the major breakages were systematically labeled and can be independently manipulated using Slicer. The mandible was also rotated downward and laterally in order to allow the tamping iron not to impinge on it and also to comply with Harlow's account that Gage was in the act of speaking to his men at the moment of the blast. c) The surface model of the Gage skull, with closed mandible, along with the surface of the life mask commissioned by Bigelow. d) A view looking superiorly along the tamping iron's computed trajectory noting how the iron displaced the left anterior frontal bone as it passed.

https://doi.org/10.1371/journal.pone.0037454.s004

Illustrating the Intersection of the Rod and the Brain. a) A figure showing the passage of the rod through the skull with the bones above the cranial “cap” cut at Harlow's direction, and its intersection with the left anterior white matter fiber pathways of an example subject. The complementary hemisphere is displayed to illustrate that the rod did not intersect that hemisphere. b) A view of the rod displacing the bones of the skull. c) A close up, coxial view of the inferior portion of the iron along its trajectory. d) The intersection of the tamping iron with the left frontal cortex with each major bone fragment removed.

https://doi.org/10.1371/journal.pone.0037454.s005

The Effects of the Tamping Iron on White Matter Fiber Tractography. a) A view of the Gage skull with the white matter fiber tracts of an example subject warped to the space. In this view, fibers which intersect the rod's pathway have been removed. b) A transaxial view of the DTI fiber pathways remaining after those which were intersected by the rod had been removed. c) The fibers intersected by the rod connect areas of cortex throughout the left cerebral hemisphere as well as between hemispheres. d) A sagittal view of the fibers experiencing damage by the tamping iron. All bone fragments and the cranial “cap” have been removed.

https://doi.org/10.1371/journal.pone.0037454.s006

Movie of The Effects of the Tamping Iron on White Matter Fiber Tractography. This movie rendering illustrates the passage of the tamping iron through the Gage skull and its intersection with left hemispheric white matter fiber pathways. The right hemispheric cortical surface model is displayed to illustrate that the rod did not cross the midline to damage right frontal cortex. The rendering was created using 3D Slicer ( http://slicer.org ).

https://doi.org/10.1371/journal.pone.0037454.s007

Acknowledgments

The authors wish to acknowledge the assistance of Dominic Hall, Curator, Warren Anatomical Museum, Center for the History of Medicine, Francis A. Countway Library of Medicine 10 Shattuck Street, Boston, MA 02115 for access to Mr. Gage's skull, life mask, and tamping iron. We also express our gratitude to Marianna Jakab of the Surgical Planning Laboratory at Harvard Medical School for assistance with the CT image volumes, and to Drs. Danielle Bassett (Department of Physics, University of California Santa Barbara), Randal McIntosh (Rotman Institute, Toronto, Canada), and Paul M. Thompson (Department of Neurology, University of California Los Angeles) for their input and guidance on our network theoretical analyses. We are also extremely grateful for the rigorous and thorough comments of two anonymous reviewers on earlier versions of this article. Finally, we are indebted to the dedicated staff of the Laboratory of Neuro Imaging (LONI) at UCLA.

Author Contributions

Conceived and designed the experiments: JVH AWT RK. Performed the experiments: MCC CMT AI. Analyzed the data: MCC AI CMT. Contributed reagents/materials/analysis tools: AWT RK. Wrote the paper: JVH AI MCC. Provided computational resources and database access needed for neuroimaging data analysis: AWT. Provided access to data essential for the study: RK.

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  • 3. Macmillan M (2000) An Odd Kind of Fame: Stories of Phineas Gage. Boston: MIT Press. 576 p.
  • 4. Damasio AR (1995) 336 p. Descartes' Error: Harper Perennial.
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Who Was Phineas Gage?

Categories Neuroscience

Who Was Phineas Gage?

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Phineas Gage was a young man seriously injured in a work-related accident. So what makes him so significant in psychology? His brain injury was shocking and the result impact on his personality quickly became one of the most famous case studies in psychology and neuroscience.

Phineas Gage: A Closer Look

On September 13, 1848, a 25-year-old railroad foreman named Phineas Gage was injured in a horrific accident. While using an iron rod to tamp explosive powder into a hole, the powder ignited and sent the 43-inch long rod hurtling upward. The rod pierced through Gage’s cheek, passing though the frontal lobe of his brain before exiting the top of his skull and landing approximately 80 feet away.

Amazingly, Gage not only survived the accident, he also went on to become one of the earliest and most famous cases in the then just emerging field of  neurology .

  A View of the Accident Site

case study of phineas gage

This image depicts an area of railroad approximately three-quarters of a mile outside of Cavendish, Vermont. It was in this area where Gage was working for former Rutland & Burlington Railroad to prepare the railroad bed. It was in this area or a site nearby that Gage suffered from the accident that would change his life and make him famous in the annals of neurology.

News of Gage’s Accident

The above news clipping appeared in the  Boston Post  on September 21, 1848.

The article states:

“ Horrible Accident  – As Phineas P. Gage, a foreman on the railroad in Cavendish, was yesterday engaged in tamping for a blast, the powder exploded, carrying an instrument through his head an inch in length, which he was using at the time. The iron entered on the side of his face, shattering the upper jaw, and passing back of the left eye, and out at the top of the head. The most singular circumstance connected with this melancholy affair is, that he was alive at two o’clock this afternoon, and in full possession of his reason, and free from pain.”

The piece contains a few inaccuracies, including suggesting that Gage’s jaw was shattered and understating the dimensions of the projectile. His attending doctor, John Martyn Harlow, kept notes on the case as it progressed, which he later published. While he described Gage as conscious and rational in the immediate aftermath of the accident, the man was certainly not “free from pain” as the above article suggested. In the days and weeks that followed, Gage would lapse into a state of delirium, followed by a semi-comatose state brought on by an infection.

An Illustration of Gage’s Injury

case study of phineas gage

This image depicts the path of the iron rod through Gage’s skull. The illustration was included in Dr. Harlow’s account of the accident and subsequent impact on Gage, which was first published in 1868 in the  Bulletin of the Massachusetts Medical Society .

“The missile entered by its pointed end, the left side of the face, immediately anterior to the angle of the lower jaw, and passing obliquely upwards, and obliquely backwards, emerged in the median line, at the back part of the frontal bone near the coronal suture,” Harlow wrote.

The Extent of Gage’s Brain Injury

case study of phineas gage

Today, researchers have only Harlow’s description of the injury and examinations of Gage’s actual skull and the tamping rod to provide evidence of the type of injury that was sustained. Several different studies have been conducted to try to determine exactly how much of Gage’s brain was affected by the projectile. One 1994 study suggested that both prefrontal cortices were affected, while a 2004 study indicated that the damage was limited to the left frontal lobe. In 2012, a new study estimated that approximately 11-percent of Gage’s frontal lobe was destroyed and that 4-percent of his cerebral cortex was impacted.

While we will never be able to tell the exact extent of the damage, we do know that a significant portion of his frontal lobe was damaged.

The frontal lobe plays a vital role in problem-solving, decision-making, and planning. The area known as the prefrontal cortex is associated with the expression of personality. Other functions associated with the frontal lobe including reasoning, judgment, and impulse control.

In Harlow’s descriptions of Gage after the accident, he suggests that Gage would often make plans but fail to carry them out and that many of his friends described his personality as greatly changed, to the point that they felt he was “no longer Gage.”

Phineas Gage Life Mask

case study of phineas gage

Prior to the 2009 and 2010 discovery of photographs of Phineas Gage, the only existing depiction that existed was a life mask made of his face and skull. The life mask was made for Henry Jacob Bigelow sometime around 1849 or 1850. Bigelow was a surgeon and professor at Harvard who published an article in  American Journal of the Medical Sciences  on Gage’s case, which helped generate considerable attention. Today, the life mask can be seen at the Warren Anatomical Museum at the Harvard University School of Medicine.

A Second Portrait of Phineas Gage

case study of phineas gage

The second known photo of Phineas Gage came to light in 2010. The image was in the possession of members of Gage’s family. Like the previously seen portrait, Gage is shown proudly holding the tamping iron that so dramatically altered his life.

Gage’s Skull and the Famous Tamping Iron

case study of phineas gage

Gage died in 1860 following a series of epileptic seizures, just 12 and a half years after his accident. In 1866, Harlow requested that the family exhume the body. The skull was removed and sent to Harlow, along with the iron tamping bar that had been in Gage’s possession at the time of his death. Today, both the skull and the iron rod can be seen at Harvard Medical School’s Warren Anatomical Museum.

Kendra Cherry

Kendra Cherry, MS.Ed., is an author, educator, and founder of Explore Psychology, an online psychology resource. She is a health writer and editor specializing in psychology, mental health, and wellness. She also writes for Verywell Mind and is the author of the Everything Psychology book (Adams Media). Follow her on Twitter , Facebook , Instagram , and Pinterest .

Melissa Shepard MD

  • Neuroscience

The Neuroscience of Behavior: Five Famous Cases

Five patients who shaped our understanding of behavior and the brain..

Posted January 16, 2020 | Reviewed by Lybi Ma

“Considering everything, it seems we are dealing here with a special illness… There are certainly more psychiatric illnesses than are listed in our textbooks.” —Alois Alzheimer (In: Benjamin, 2018)

Once thought to be the product of demonic possession, immorality, or imbalanced humors, we now know that psychiatric symptoms are often caused by changes in the brain. Read on to learn about the people who helped us understand the brain as the driving force behind our behaviors.

By Henry Jacob Bigelow; Ratiu et al.

Phineas Gage

In 1848, John Harlow first described the case of a 25-year-old railroad foreman named Phineas Gage. Gage was a "temperate" man: hardworking, polite, and well-liked by all those around him. One day, Gage was struck through the skull by an iron rod launched in an accidental explosion. The rod traveled through the prefrontal cortex of his brain. Remarkably, he survived with no deficits in his motor function or memory . However, his family and friends noticed major changes in his personality . He became impatient, unreliable, vulgar, and was even described as developing the "animal passions of a strong man." This was the first glimpse into the important role of the prefrontal cortex in personality and social behavior (David, 2009; Thiebaut de Schotten, 2015; Benjamin, 2018).

Louis Victor Leborgne

Pierre Broca first published the case of 50-year-old Louis Victor Leborgne in 1861. Despite normal intelligence , Leborgne inexplicably lost the ability to speak. His nickname was Tan, after this became the only word he ever uttered. He was otherwise unaffected and seemed to follow directions and understand others without difficulty. After he died, Broca examined his brain, finding an abnormal area of brain tissue only in the left anterior frontal lobe. This suggested that the left and right sides of the brain were not always symmetric in their functions, as previously thought. Broca later went on to describe several other similar cases, cementing the role of the left anterior frontal lobe (now called Broca’s area) as a crucial region for producing (but not understanding) language (Dronkers, 2007; David, 2009; Thiebaut de Schotten, 2015).

Unknown, Public Domain.

Auguste Deter

Psychiatrist and neuropathologist Aloysius Alzheimer described the case of Auguste Deter, a 56-year-old woman who passed away in 1906 after she developed strange behaviors, hallucinations, and memory loss. When Alzheimer looked at her brain under the microscope, he described amyloid plaques and neurofibrillary tangles that we now know are a hallmark of the disease that bears his name. This significant discovery was the first time that a biological molecule such as a protein was linked to a psychiatric illness (Shorter, 1997; David, 2009; Kalia & Costa e Silva, 2015).

In 1933, Spafford Ackerly described the case of "JP” who, beginning at a very young age, would do crude things like defecate on others' belongings, expose himself, and masturbate in front of other children at school. These behaviors worsened as he aged, leading to his arrest as a teenager . He was examined by Ackerly who found that the boy had a large cyst, likely present from birth, that caused severe damage to his prefrontal cortices. Like the case of Phineas Gage, JP helped us understand the crucial role that the prefrontal cortex plays in judgment, decision-making , social behaviors, and personality (Benjamin, 2018).

HM (Henry Gustav Molaison)

William Scoville first described the case of HM, a 29-year-old man whom he had treated two years earlier with an experimental surgery to remove his medial temporal lobes (including the hippocampus and amygdala on both sides). The hope was that the surgery would control his severe epilepsy, and it did seem to help. But with that improvement came a very unexpected side effect: HM completely lost the ability to form certain kinds of new memories. While he was still able to form new implicit or procedural memories (like tying shoes or playing the piano), he was no longer able to form new semantic or declarative memories (like someone’s name or major life events). This taught us that memories were localized to a specific brain region, not distributed throughout the whole brain as previously thought (David, 2009; Thiebaut de Schotten, 2015; Benjamin, 2018).

Facebook /LinkedIn image: Gorodenkoff/Shutterstock

Benjamin, S., MacGillivray, L., Schildkrout, B., Cohen-Oram, A., Lauterbach, M.D., & Levin, L.L. (2018). Six landmark case reports essential for neuropsychiatric literacy. J Neuropsychiatry Clin Neurosci, 30 , 279-290.

Shorter, E., (1997). A history of psychiatry: From the era of the asylum to the age of Prozac. New York: John Wiley & Sons, Inc.

Thiebaut de Schotten, M., Dell'Acqua, F., Ratiu, P. Leslie, A., Howells, H., Cabanis, E., Iba-Zizen, M.T., Plaisant, O., Simmons, A, Dronkers, N.F., Corkin, S., & Catani, M. (2015). From Phineas Gage and Monsieur Leborgne to H.M.: Revisiting disconnection syndromes. Cerebral Cortex, 25 , 4812-4827.

David, A.S., Fleminger, S., Kopelman, M.D., Lovestone, S., & Mellers, J. (2009). Lishman's organic psychiatry: A textbook of neuropsychiatry. Hoboken, NJ: Wiley-Blackwell.

Kalia, M., & Costa e Silva, J. (2015). Biomarkers of psychiatric diseases: Current status and future prospects. Metabolism, 64, S11-S15.

Dronkers, N.F., Plaisant, O., Iba-Zizen, M.T., & Cabanis, E.A. (2007). Paul Broca's historic cases: High resolution MR Imaging of the brains of Leborgne and Lelong. Brain , 130, 1432–1441.

Scoville, W.B., & Milner, B. (1957). Loss of recent memory after bilateral hippocampal lesions. J. Neurol. Neurosurg. Psychiat., 20, 11-21.

Melissa Shepard MD

Melissa Shepard, MD , is an assistant professor of psychiatry at the Johns Hopkins School of Medicine.

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Mapping Connectivity Damage in the Case of Phineas Gage

John darrell van horn.

1 Laboratory of Neuro Imaging (LONI), Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States of America

Andrei Irimia

Carinna m. torgerson, micah c. chambers, ron kikinis.

2 Surgical Planning Laboratory, Department of Radiology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America

Arthur W. Toga

Conceived and designed the experiments: JVH AWT RK. Performed the experiments: MCC CMT AI. Analyzed the data: MCC AI CMT. Contributed reagents/materials/analysis tools: AWT RK. Wrote the paper: JVH AI MCC. Provided computational resources and database access needed for neuroimaging data analysis: AWT. Provided access to data essential for the study: RK.

Associated Data

White matter (WM) mapping of the human brain using neuroimaging techniques has gained considerable interest in the neuroscience community. Using diffusion weighted (DWI) and magnetic resonance imaging (MRI), WM fiber pathways between brain regions may be systematically assessed to make inferences concerning their role in normal brain function, influence on behavior, as well as concerning the consequences of network-level brain damage. In this paper, we investigate the detailed connectomics in a noted example of severe traumatic brain injury (TBI) which has proved important to and controversial in the history of neuroscience. We model the WM damage in the notable case of Phineas P. Gage, in whom a “tamping iron” was accidentally shot through his skull and brain, resulting in profound behavioral changes. The specific effects of this injury on Mr. Gage's WM connectivity have not previously been considered in detail. Using computed tomography (CT) image data of the Gage skull in conjunction with modern anatomical MRI and diffusion imaging data obtained in contemporary right handed male subjects (aged 25–36), we computationally simulate the passage of the iron through the skull on the basis of reported and observed skull fiducial landmarks and assess the extent of cortical gray matter (GM) and WM damage. Specifically, we find that while considerable damage was, indeed, localized to the left frontal cortex, the impact on measures of network connectedness between directly affected and other brain areas was profound, widespread, and a probable contributor to both the reported acute as well as long-term behavioral changes. Yet, while significantly affecting several likely network hubs, damage to Mr. Gage's WM network may not have been more severe than expected from that of a similarly sized “average” brain lesion. These results provide new insight into the remarkable brain injury experienced by this noteworthy patient.

Introduction

The mapping of human brain connectivity through the use of modern neuroimaging methods has enjoyed considerable interest, examination, and application in recent years [1] , [2] . Through the use of diffusion weighted (DWI) and magnetic resonance imaging (MRI), it is possible to systematically assess white matter (WM) fiber pathways between brain regions to measure fiber bundle properties, their influence on behavior and cognition, as well as the results of severe brain damage. The potential for using combined DWI/MRI methods to understand network-level alterations resulting from neurological insult is among their major research and clinical advantages.

In this paper, we investigate the detailed connectomics of a noted example of severe traumatic brain injury (TBI) which has proved important to and controversial in the history of neuroscience. Few cases in the history of the medical sciences have been so important, interpreted, and misconstrued, as the case of Phineas P. Gage [3] , in whom a “tamping iron” was accidentally shot through his skull and brain, resulting in profound behavioral changes, and which contributed to his death 151 years ago. On September 13th, 1848, the 25-year old Phineas P. Gage was employed as a railroad construction supervisor near Cavendish, Vermont to blast and remove rock in preparation for the laying of the Rutland and Burlington Railroad. Having drilled a pilot hole into the rock and filling it partially with gunpowder, he instructed an assistant to pour sand into the hole atop the powder. Averting his attention for a moment to speak with his men, he apparently assumed the sand had been added. He then commenced dropping the end of a 110 cm long, 3.2 cm diameter iron rod into the hole in order to “tamp” down its contents. The 13 lb. iron struck the interior wall of the hole causing a spark to ignite the powder which, in turn, launched the pointed iron rod upwards, through the left cheek of Mr. Gage just under the zygomatic arch, passing behind his left eyeball, piercing his cranial vault under the left basal forebrain, passing through his brain, and then exiting the top and front of his skull near the sagittal suture. A large amount of brain tissue was expelled from the opening and the rod was found later “smeared with blood and brains”, washed in a stream, and, eventually, returned to him. After receiving treatment and care from Dr. John Martyn Harlow over subsequent weeks, Mr. Gage was able to recover sufficiently from his physical injuries and return to his family in nearby New Hampshire. However, reports of profound personality changes indicate that he was unable to return to his previous job and caused co-workers to comment that he was “no longer Gage.” Following several years of taking manual labor jobs and travelling throughout New England and eventually to Valparaiso, Chile, always in the company of “his iron”, he was reunited with his family in San Francisco whereupon Mr. Gage died on May 21, 1860, nearly 12 years after his injury – presumably due to the onset of seizures evidently originating from damage resulting from the tamping rod incident. Several years later, Dr. Harlow, upon learning of Gage's death, asked Gage's sister's family to exhume his body to retrieve his skull and rod for presentation to the Massachusetts Historical Society and deposition with Harvard Medical School where, to this day, it remains on display in the Warren Anatomical Museum in the Francis A. Countway Library of Medicine at Harvard Medical School ( Fig. 1a ).

An external file that holds a picture, illustration, etc.
Object name is pone.0037454.g001.jpg

a) The skull of Phineas Gage on display at the Warren Anatomical Museum at Harvard Medical School. b) CT image volumes were reconstructed, spatially aligned, and manual segmentation of the individual pieces of bone dislodged by the tamping iron (rod), top of the cranium, and mandible was performed. Surface meshes for each individual element of the skull were created. Based upon observations from previous examinations of the skull as well as upon the dimensions of the iron itself, fiducial constraint landmarks were digitally imposed and a set of possible rod trajectories were cast through the skull. This figure shows the set of possible rod trajectory centroids which satisfied each of the anatomical constraints. The trajectory nearest the mean trajectory was considered the true path of the rod and was used in all subsequent calculations. Additionally, voxels comprising the interior boundary and volume of the cranial vault were manually extracted and saved as a digital endocast of Mr. Gage's brain cavity. c) A rendering of the Gage skull with the best fit rod trajectory and example fiber pathways in the left hemisphere intersected by the rod. Graph theoretical metrics for assessing brain global network integration, segregation, and efficiency [92] were computed across each subject and averaged to measure the changes to topological, geometrical, and wiring cost properties. d) A view of the interior of the Gage skull showing the extent of fiber pathways intersected by the tamping iron in a sample subject ( i.e. one having minimal spatial deformation to the Gage skull). The intersection and density of WM fibers between all possible pairs of GM parcellations was recorded, as was average fiber length and average fractional anisotropy (FA) integrated over each fiber.

The amount of damage to Mr. Gage's left frontal cortical grey matter (GM) with secondary damage to surrounding GM has been considered by several authors with reference to Gage's reported change in temperament, character, etc [4] , [5] , [6] ( Table 1 ). With the aid of medical imaging technology, two previous published articles have sought to illustrate the impact of the rod on Mr. Gage's skull and brain. Most famously, Damasio et al. [7] illustrated that the putative extent of damage to the left frontal cortex would be commensurate with the disinhibition, failures to plan, memory deficiencies, and other symptoms noted in patients having frontal lobe injury. Ratiu et al. [8] sought to illustrate the trajectory of the tamping iron, characterize the pattern of skull damage, and explain potential brain damage using a single, example subject. However, while many authors have focused on the gross damage done by the iron to Gage's frontal cortical GM, little consideration has been given to the degree of damage to and destruction of major connections between discretely affected regions and the rest of his brain.

WM fasciculi link activity between cortical areas of the brain [9] , [10] , become systematically myelinated through brain maturation [11] , govern fundamental cognitive systems [12] , and may be disrupted in neurological [13] and psychiatric disease [14] . Penetrative TBI in cases of wartime [15] , industrial [16] , gunshot [17] , or domestic [18] injury often result in significant damage to brain connectivity, loss of function, and often death. Yet, in some instances, recovery from objects penetrating WM [19] have been reported with minimal sequelae [20] . Neuroimaging studies of WM tracts in TBI have revealed not only significant acute damage to fiber pathways but also that measures of fiber integrity can show partial fiber recovery over time [21] , presumably due to cortical plasticity [22] in non-penetrative cases.

Given recent interest in the atlasing of the human WM connectome (e.g. http://www.humanconnectomeproject.org ), a detailed consideration of the putative damage to Mr. Gage's connectomics and implications for changes in behavior is provocative and compelling. Nerve damage is superficially evident through reports of eventual loss of sight in Gage's left eye, left eyelid ptosis [23] , and recognition of potential WM damage by other investigators [7] . Further examination of the extent of Gage's WM damage and of its effects on network topology and regional connectedness can offer additional context into putative behavioral changes. Due to the absence of original brain tissue and to the lack of a recorded autopsy from this case, one can only estimate the extent of damage from bony structures and can never be confident concerning which precise brain tissues were impacted. However, brain tissue in situ from a representative population can be considered and it can be assumed that Mr. Gage's anatomy would have been similar. In this examination, we obtained the original high-resolution CT data of the Gage skull used by Ratiu et al. , and computationally estimated the best-fit rod trajectory through the skull. Via multimodal analysis of T1-weighted anatomical MRI and DWI in N = 110 normal, right-handed males, aged 25–36, we quantify the extent of acute regional cortical loss and examine in detail the expected degree of damage to Mr. Gage's WM pathways.

Computationally projecting a model of the tamping iron through the T1 MRI anatomical volumes warped to the Gage skull geometry ( Table 2 ; Fig. 1b–c ; see also Methods ) in light of previously reported anatomical constraints ( Table 3 ) and healthy brain morphometry and connectivity ( Fig. 2 ), the average percentage of total cortical GM volume intersected was 3.97±0.29% (mean±SD), where the cortical regions most affected by the rod (>25% of their regional volumes) included (mean±SD): the left orbital sulcus (OrS; 90.86±6.97%), the left middle frontal sulcus (MFS; 80.33±10.01), the horizontal ramus of the anterior segment of the lateral sulcus (ALSHorp; 71.03±22.08%), the anterior segment of the circular sulcus of the insula (ACirInS; 61.81±18.14%), the orbital gyrus (OrG; 39.45±6.17%), the lateral orbital sulcus (LOrS; 37.96±20.24%), the superior frontal sulcus (SupFS; 36.29±12.16%), and the orbital part of the inferior frontal gyrus (InfFGOrp; 28.22±19.60%). While extensive damage occurred to left frontal, left temporal polar, and insular cortex, the best fit rod trajectory did not result in the iron crossing the midline as has been suggested by some authors (see Methods ). As a result, no direct damage appeared to occur in right frontal cortices as evident from our representative sample cohort. A complete list of all cortical areas experiencing damage is listed in Table 4 .

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The outermost ring shows the various brain regions arranged by lobe (fr – frontal; ins – insula; lim – limbic; tem – temporal; par – parietal; occ- occipital; nc – non-cortical; bs – brain stem; CeB - cerebellum) and further ordered anterior-to-posterior based upon the centers-of-mass of these regions in the published Destrieux atlas [72] (see also Table 6 for complete region names, abbreviations, and FreeSurfer IDs, and Table 7 for the abbreviation construction scheme). The left half of the connectogram figure represents the left-hemisphere of the brain, whereas the right half represents the right hemisphere with the exception of the brain stem, which occurs at the bottom, 6 o'clock position of the graph. The lobar abbreviation scheme is given in the text. The color map of each region is lobe-specific and maps to the color of each regional parcellation as shown in Fig. S2 . The set of five rings (from the outside inward) reflect average i) regional volume, ii) cortical thickness, iii) surface area, and iv) cortical curvature of each parcellated cortical region. For non-cortical regions, only average regional volume is shown. Finally, the inner-most ring displays the relative degree of connectivity of that region with respect to WM fibers found to emanate from this region, providing a measure of how connected that region is with all other regions in the parcellation scheme. The links represent the computed degrees of connectivity between segmented brain regions. Links shaded in blue represent DTI tractography pathways in the lower third of the distribution of fractional anisotropy, green lines the middle third, and red lines the top third. Circular “color bars” at the bottom of the figure describe the numeric scale for each regional geometric measurement and its associated color on that anatomical metric ring of the connectogram.

The amount of total WM volume lost due to the tamping iron was 10.72±5.46% (mean±SD). Examination of lesioned connectivity matrices indicated that fiber bundles from nearly the entire extent of the left frontal cortex were impacted by the presence of the tamping iron (e.g. Fig. 1d ), which in turn affected most of that hemisphere as well as contralateral regions ( Fig. 3 ). The effect of this lesion on network properties was assessed 1) with respect to the healthy intact network, generally, as well as 2) in contrast to the average effects of similarly-sized lesions simulated elsewhere in the cortex, as related to local GM loss as well as distributed loss of connectivity ( Fig. 4a–c ). Metrics representative of three specific global network attributes were examined: characteristic path length (λ, measuring network integration), mean local efficiency (e, segregation), and small worldness (S) ( Table 5 ).

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The lines in this connectogram graphic represent the connections between brain regions that were lost or damaged by the passage of the tamping iron. Fiber pathway damage extended beyond the left frontal cortex to regions of the left temporal, partial, and occipital cortices as well as to basal ganglia, brain stem, and cerebellum. Inter-hemispheric connections of the frontal and limbic lobes as well as basal ganglia were also affected. Connections in grayscale indicate those pathways that were completely lost in the presence of the tamping iron, while those in shades of tan indicate those partially severed. Pathway transparency indicates the relative density of the affected pathway. In contrast to the morphometric measurements depicted in Fig. 2 , the inner four rings of the connectogram here indicate (from the outside inward) the regional network metrics of betweenness centrality, regional eccentricity, local efficiency, clustering coefficient, and the percent of GM loss, respectively, in the presence of the tamping iron, in each instance averaged over the N = 110 subjects.

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WM fiber pathways intersected by the rod were pooled across all N = 110 subjects and examined for a) the relative lengths (w ij ) of affected pathways and b) the relative percentages of lost fiber density (g ij ); c) the bivariate distribution of g ij versus w ij indicating that local fiber pathways were affected, e.g. relatively short pathways proximal to the injury site, as well as damaging dense, longer-range fiber pathways, e.g. innervating regions some distance from the tamping iron injury (see “ Calculation of Pathology Effects upon GM/WM Volumetrics ” for further details).

Tables 6 and ​ and7 7 provide details on the regional coding used for brain parcellation which were subjected to estimation of the effects of the tamping iron, lesion simulation modeling, and which encode the text on the outer-most rings of Figs. 2 and ​ and3. 3 . Differences in measures of network connectivity due to the rod's passage were apparent in terms of network integration, segregation, but not small worldness as compared to the unlesioned, healthy network. Specifically, when removing those cortical areas and fiber pathways intersected by the iron, characteristic path length was found to be significantly decreased in Gage compared to the intact network ( p ≤0.0001), mean local efficiency was decreased ( p ≤0.0001), while small worldness showed no statistical difference ( p ≤0.9467, ns). Regionally-specific network theoretical metrics in the affected regions and those to which they connect were also affected (see Fig. 5A ). This suggests that, not surprisingly, with significant loss of WM connectivity between left frontal regions and the rest of the brain, the surviving network of brain was likely to have been heavily impaired and its functions considerably compromised.

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A) Cortical maps of regional graph theoretical properties. Regions affected by the passage of the tamping iron include those having relatively high betweenness centrality and clustering coefficients but relatively low mean local efficiency and eccentricity. B) A cortical surface schematic of the relative effects of systematic lesions of similar WM/GM attributes over the cortex for both network integration (i) and segregation (ii). For each mapping, colors represent the Z-score difference between systematic lesions of that area relative the average change in integration taken across all simulated lesions. C) Cortical maps of the differences/similarity between the effects on integration and segregation observed from the tamping iron lesion with that of each simulated lesion. Here black is most similar (e.g. the observed lesion is most similar to itself) whereas white is least similar to (e.g. most different from) the tamping iron's effects on these measures of network architecture.

To further provide a baseline for comparison of the tamping iron lesion against similarly-sized lesions located elsewhere in the cortex, we conducted a systematic random simulation of 500 similarly-sized lesions across our N = 110 healthy subject cohort. The network containing the lesion due to the tamping iron was systematically compared against the distributions of the above mentioned metrics from the simulated lesion set. When paired t -statistics were computed to determine whether tamping iron lesion differed significantly from the standpoint of network metric values, standardized with respect to the intact network, as compared to other brain lesions of the same size, the characteristic path length (integration), mean local efficiency (segregation), and small worldness, while significantly different from that of the intact networks, were not found to be more severe than the average network properties of average similarly sized GM/WM lesion. These results are summarized in Fig. 5B and 5C . These indicate that alterations to network integration resulting from the tamping iron lesion resulted in greater average path length than that of the intact network but which was less than the average effects of other equally sized lesions. Likewise, segregation, as measured using mean local efficiency, was reduced compared to the intact network, but greater than the average effects of the simulated lesions. These results suggest that Mr. Gage's lesion, while severe and certain to have affected WM connectivity in his left cerebral hemisphere and throughout his brain, could have been considerably more severe had the tamping iron pierced other areas of his brain.

The case of Phineas Gage is among the most famous and infamous in the history of brain science. The interpretations of his incredible injury and attempts to characterize it have been ongoing since soon after it occurred. Our consideration sought to provide a modern connectomic understanding of Mr. Gage's injury and put it into context as involving brain WM in addition to the GM damage discussed by other authors. While we, too, are constrained by the relics left from Mr. Gage's life and what evidence can be gleaned from them, work detailed in this article differs considerably from previous examinations of this case and topic in several key areas: we 1) precisely model the trajectory of the tamping iron through high resolution computed tomographic data of Mr. Gage's skull - a rare imaging data set that, until now, had been lost to science for over a decade; 2) geometrically fit N = 110 age, gender, and handedness matched modern subject MRI brain volumes into the Gage cranial vault to assess average cortical metrics and their degree of variability; 3) in so doing, illustrate that while ∼4% of the cortex was intersected by the rod's passage, ∼11% of total white matter was also damaged, and provide estimates of the degree of damage experienced under a well-established brain parcellation scheme; 4) map high angular resolution diffusion neuroimaging tractography into the same space to measure damage to the pair-wise connections between atlas-defined cortical regions; and 5) compare the graph theoretical properties of the observed lesion against those expected from theoretically similar lesions systematically located throughout the brain. In what follows, we comment on our approach and findings.

Trajectory of the Tamping Iron

Various descriptions of the trajectory of the tamping iron through the Mr. Gage's skull have been given, which has understandably led to differing opinions about which parts of his brain were subjected to damage. Harlow, the physician responsible for Gage's initial treatment, documented that only the left hemisphere had been affected while the right remained unaffected [24] . In contrast, Bigelow maintained that some right-sided damage must have occurred. Dupuy [25] agreed with the left sidedness of the trajectory but placed it more posterior, claiming that motor and language areas had been destroyed – supporting the anti-localizationist arguments popular of the era. Ferrier [26] , illustrating that the motor and language areas had been spared, concluded that damage was limited only to the left hemisphere – a conclusion later echoed by Cobb [27] . In their measurements, Damasio et al. estimated the damage to be more frontal and right sided, whereas Ratiu and colleagues concluded that damage was limited to the left frontal lobe and that it did not cross the midline. Central to these differences in interpretation is likely to be how mandible position has been considered. To satisfy the observed anatomical constraints with the mouth closed would result in a greater right-sided inclination of the rod. Yet, as Harlow originally noted, Gage was in the act of speaking to his men at the moment of the injury and, thus, his mouth was likely open. We observe that with the jaw opened, the best-fit rod trajectory satisfying all constraints does not intersect or cross the superior sagittal sulcus and the injury is specific to the left frontal lobe. Thus, our conclusions are congruent with those of Harlow, Ferrier, as well as with those of Ratiu and Talos and, given the detailed computational approach taken, seem to provide the most likely reconstruction of the acute damage caused by the tamping iron.

Alterations of Network Connectivity Due to the Tamping Iron

The loss of ∼11% total WM volume in the left frontal lobe suggests that the iron's effects on Mr. Gage's brain extended well beyond the loss of left frontal GM alone. Overall differences in metrics of network integration as well as segregation were observed relative to intact connectivity, suggesting widespread disruption of networks involving damage to the left frontal and temporal pathways. Alterations indicate major changes to global network topology which affected network-wide efficiency. In the healthy cohort examined here, the region-to-region WM connectedness when in the presence of the rod was found to be associated with several important fiber bundles. Specifically, connectivity was affected between the frontal lobes and the basal ganglia, the insula, limbic, and other major lobes of the left hemisphere, in addition to right frontal, insular, and limbic areas. This severed portions of the uncinate fasciculus (UF) - connecting parts of the limbic system such as the hippocampus and amygdala in the temporal lobe with frontal regions such as the orbito-frontal cortex. The cingulum bundle - the collection of WM fibers projecting from the cingulate gyrus to the entorhinal cortex, allowing for communication between components of the limbic system – was also damaged. Additionally, the superior longitudinal fasciculus (SLF) was impacted – the long bi-directional bundles of neurons connecting the rostral and caudal aspects of the cerebrum in which each association fiber bundle is lateral to the centrum ovale linking the frontal, occipital, parietal, and temporal lobes. Fibers here pass from the frontal lobe through the operculum to the posterior end of the lateral sulcus, where numerous processes radiate into the occipital lobe while others turn downward and forward around the putamen and project to anterior portions of the temporal lobe. The occipito-temporal projection [28] in humans connects the temporal lobe and occipital lobe, running along the lateral walls of the inferior and posterior cornua of the lateral ventricle. The connectivity of the orbital cortex with temporal lobe regions via the UF which is among the last to complete myelination in development [29] , has been shown to be particularly affected in patients with mental illness [30] , and to be related to cognitive deficits in TBI [31] , [32] . WM fascicular damage in these instances was likely an important factor in Gage's reported post-injury symptomatology as well as in his reported and putative behavioral issues.

The obtained results suggest that GM damage had wider reaching influence than previously described and compromised several aspects of Gage's network of WM connectivity. Regions whose connectivity within and between cerebral hemispheres were affected included: the left frontal lobe (the transverse fronto-polar gyrus, fronto-marginal gyrus, middle frontal gyrus, lateral orbital sulcus, orbital sulcus, oribital part of the inferior frontal gyrus, triangular part of the inferior frontal gyrus, inferior frontal sulcus, medial orbital sulcus, orbital gyri, superior frontal gyrus, and opercular part of the inferior frontal gyrus); left insular cortex (horizontal and vertical ramus of the anterior segment of the lateral sulcus/fissure, the anterior/inferior/superior segments of the circular sulcus of the insula, short insular gyri, and long insular gyrus and central insular sulcus); and the left temporal lobe (the temporal pole and polar plane of the superior temporal gyrus) ( Fig. 3 ). The marginal and bivariate probability distributions of average brain-normalized WM fiber bundle length (w ij ) and proportion of GM density lost (g ij ; Fig. 4a–c ) unsurprisingly indicated a considerable number of relatively short connections being affected locally by the presence of the rod while, additionally, a considerable number of longer fiber bundles connecting relatively large regions of cortex were also impacted.

Alterations to these connections contribute to the significant reductions in characteristic path length and mean local efficiency of the remaining network after removal of the affected fibers. That no significant difference was observed concerning the small worldness of the tamping iron network as compared to the intact network suggest that a lesion of this size and scope, while severe, may not had appreciable effects on the degree of clustering of unaffected nodes Mr. Gage's brain relative to randomly degree-equivalent versions of that network. On the other hand, the average simulated lesion did show a significant reduction in small worldness, indicating that regions other than those affected may have more influence over the degree of measured network clustering. Thus, Mr. Gage's unaffected network may have still maintained its small world architecture of nodal clustering and presumed functional integrity, despite loss of major frontal and temporal lobe participation in the system resulting in deficits to measures network integration and segregation.

Several previous articles have precisely investigated the direct effects of node deletions of various size on network connectivity and architecture [33] , [34] , [35] . In particular, the paper by Alstott et al. provides a detailed examination of simulated lesion effects on brain networks both in terms of lesion location and extent. In their study of structural and functional connectivity data from N = 5 healthy subjects, they found that lesions to midline areas resulted in more profound effects on various network metrics than do more lateral brain regions. As might be expected, the magnitude of change was dependent upon the number of nodes removed from the network and the manner in which they were removed. Their observations indicate that networks may be insensitive to lesions involving random node removal or where node removal was based only upon a node's degree of connectedness. However, network lesioning based upon the targeted removal of nodes having high betweenness centrality - a measurement of the number of shortest paths from all vertices to all others which pass through a given node - resulted in greater network vulnerability as evident from significant reductions in global efficiency in contrast to random lesioning. This result is particularly compelling in regards to assessing the robustness of cortical architecture in the face of brain damage to major network hubs localized proximal to the cortical midline.

There is little doubt that a tamping iron injury to central nodes of the frontal lobe would have severely impacted Gage's brain connectivity. Fig. 3 shows the extent of white matter damage and the effects on several measures of network connectivity, including regional betweenness centrality, local efficiency, clustering coefficient, and eccentricity. Note that this illustration differs from Fig. 2 in that the inner-most rings are now colored according to the respective average nodal connectivity metrics in the presence of cortical loss incurred from the tamping iron. Additionally, Fig. 5A illustrates the spatial distribution of these regional connectivity metrics over the cortex when pooled across the intact healthy networks from our sample (sub-cortex not shown). We note that, as observed by Alstott et al., areas of relatively high betweenness centrality tended to be located along the frontal midline. Other metrics show similar regional concentrations ( Fig. 5Aii–iv ). However, while intact frontal areas of both hemispheres show high betweenness centrality ( Fig. 5Ai ), the regions of tamping iron damage encompassed many other regions as well having relatively less betweenness centrality, e.g. TrFPoG/S, RG, SbCaG, TPo. Removal of these areas, as illustrated by the various metric rings in the left frontal segment of the connectogram in Fig. 3 , has wide ranging effects on the regionally-specific network metrics in unaffected brain regions.

It is evident that removal of these areas produce significant effects on global metrics of network segregation and integration. However, from systematic lesion simulation using a similar extent of GM/WM involvement, the effects on Mr. Gage's network integration and segregation were not found to be more severe that that observed from the “average” lesion. Clearly, a larger lesion would have affected a greater number of network nodes including various hubs resulting in further deleterious effects on network integration and segregation. Moreover, a different lesion altogether would have possibly resulted in more outwardly obvious sensorimotor deficits. Located in occipital cortex, for instance, the lesion might have resulted in sensory-specific changes in connectivity (e.g. blindness), or one involving more of the sub-cortex and brain stem could have been more clinically serious and resulted in death. Nevertheless, the observed damage illustrates that severe network insult affecting the majority of left hemisphere connectivity as well as right hemispheric inter-connections, was experienced. Such damage can be expected to have had its influence over the normal functioning of many regions non-local to the injury and their subsequent connectivity as well.

Therefore, in light of these observations, it would be safe to conclude that 1) Mr. Gage's injury very likely destroyed portions of the central hub structure in left frontal midline structures as well as temporal pole and limbic structures which have extensive connectivity throughout the left hemisphere as well as inter-hemispherically, 2) that the tamping iron's passage did not specifically remove only the most central network hubs but a host of regions having a range of network properties, and 3) that such damage to important network hubs connection to other brain regions having secondary levels of centrality, clustering, etc. are likely to have combined to give rise to the behavioral and cognitive symptomatology originally reported by Harlow. Knowledge of Gage's affected connectivity help provide clarity and context for symptomatologies subsequently only inferred by others.

Implications for Gage's Reported Behavioral Changes

Traumatic brain injury of the frontal cortices is often associated with profound behavioral alterations, changes mood [36] , working memory [37] and planning deficits [38] , [39] , social functioning [40] , among other cognitive symptoms [41] , [42] , [43] , [44] . Alterations to functional connectivity have also been reported [45] , [46] which, in addition to cortical damage, likely related to accompanying diffuse axonal injury [47] , [48] . It is also worth noting neurodegenerative diseases, such as the leukodystrophies [49] , Alzheimer's Disease (AD) [50] , [51] , and early-stage frontotemporal dementia (FTD) [52] , also have effects on brain networks involving connectivity of the frontal lobe. Altered structural connectivity in these disorders illustrates changes in large-scale brain network organization deviating from healthy network organization [53] , with possible effects on resting state connectivity [54] . Disruptions of WM connectivity are also known to underlie elements of psychiatric illness [55] , [56] , [57] which are associated with behavioral alterations not dissimilar to those reported in Mr. Gage.

In particular, network damage, predominantly of the left basal forebrain and of its connections throughout the left as well as into right frontal cortices, was particularly extensive. Processing of emotion stimuli have been associated with connectivity of the frontal cortex and amygdala, in particular involving the connectivity of the uncinate fasciculi [58] . Thus, in addition to disinhibition symptoms considered by Damasio et al., with evidence of potentially greater degree of WM rather than cortical injury, there is also similarity between Mr. Gage's behavioral changes and network alterations observed in FTD and related WM degenerative syndromes. This suggests that network topological changes may have been the source of Mr. Gage having not only executive function deficits but also problems resulting from damage to connections associated with the encoding of episodic memory as well as the processing of emotion – consistent with reports on changes in his personality.

Historical Implications of Gage's WM Damage

While observations of severe network damage and their resulting affects may not be surprising given that which has been documented of Mr. Gage's accident and behavioral changes, one can only speculate upon the possible contribution to Gage's survival, recovery, and the uniqueness of changes to his WM networks. Macmillan [3] has noted that many reports on Gage's behavioral changes are anecdotal, largely in error, and that what we formally know of Mr. Gage's post-accident life comes largely from the follow-up report of Harlow [23] according to which Gage, despite the description of him having some early difficulties, appeared to adjust moderately well for someone experiencing such a profound injury. Indeed, the recent discovery of daguerreotype portraits of Mr. Gage show a “handsome…well dressed and confident, even proud” man [59] in the context of 19 th century portraiture. That he was any form of vagrant following his injury is belied by these remarkable images. While certainly neuroanatomically profound, the changes to his cognitive capacities were much more subtle upon his full recovery than may have been otherwise described. In spite of recovering from severe brain trauma, his mental state appears to have eventually stabilized sufficiently for him to travel throughout New England, take on several (some might say menial) forms of employment, travel through South America for several years, and to return to his family in the Western US, before succumbing to epilepsy which was presumably related to the injuries directly affecting his WM connectivity. That his network damage, though extensive, was not apparently more severe than an “average” brain lesion would incur may help to explain his ability to have sufficiently recovered in spite of the residual behavioral changes reported by Harlow.

Limitations of our Study

We have worked to provide a detailed, accurate, and comprehensive picture of the extent of damage from this famous brain injury patient and its effect on network connectivity. While the approach used here to model the tamping iron's trajectory is precise and the computation of average volume lost across our population of subjects is reflective of the acute level of damage, we acknowledge that there was likely more damage than that caused by its presence alone. The iron likely propelled unrecovered bone fragments through the brain. The resulting hemorrhage from the wound was also considerable. Subsequent infection and a large abscess took further toll. Consequently, more GM and WM tissue may have been lost than estimated here. Like Damasio et al. and Ratiu et al. , we make the assumption that Gage's brain and its position within the skull can be estimated from the structure of the skull itself, and that its sub-regions, WM, and connective anatomy can be localized through population averaging. Such a supposition may have its limitations and could be open to debate. Nevertheless, ours represents the best current estimation as to the extent of brain damage likely to have occurred at the level of both cortex and WM fiber pathways. We also have no way of assessing the biochemical cascade of changes to biomarker proteins measureable post-injury in modern TBI patients which may also have influenced the trajectory of Mr. Gage's recovery.

Another potential criticism is that we compare the loss of GM, WM, and connectivity in Mr. Gage by computationally casting the tamping iron through the WM fibers of healthy age- and gender-matched subjects and measuring the resulting changes in network topology. We also systematically lesion the brains of our healthy cohort to derive “average” network metrics and compare the observed values with respect to them – an approach that has been recommended elsewhere [35] . This technique is helpful for creating a representative expectation of inter-regional connectivity against which to compare observed or hypothetical lesions. However, some might consider this approach to be misguided in this instance due to the fact that Mr. Gage's brain was damaged in such a way that he survived the injury whereas a host of other lesions resulting from penetrative missile wounds would likely have resulted in death. Indeed, as noted originally by Harlow, the trajectory of the 110 cm long, 3.2 cm thick, 13 lb. tamping iron was likely along the only path that it could have taken without killing Mr. Gage. Thus, any distribution of lesioned topological values might not provide a useful foundation for comparison because the majority of these penetrative lesions would, in reality, be fatal. We recognize these concerns and the practical implications for subject death which would also be a caveat of other network theoretical applications of targeted or random network lesioning. Indeed, such considerations are something to be taken into account generally in such investigations. Nevertheless, our simulations provide supporting evidence for the approximate neurological impact of the tamping iron on network architecture and form a useful basis for comparison beyond utilizing the intact connectivity of our normal sample in assessing WM connectivity damage. So, while this might be viewed as a limitation of our study, especially given the absence of the actual brain for direct inspection, the approach taken provides an appropriate and detailed assessment of the probable extent of network topological change. All the same, we look forward to further work by graph theoreticians to develop novel approaches for assessing the effects of lesioned brain networks.

Conclusions

In as much as earlier examinations have focused exclusively on GM damage, the study of Phineas Gage's accident is also a study of the recovery from severe WM insult. Extensive loss of WM connectivity occurred intra- as well as inter-hemispherically, involving direct damage limited to the left cerebral hemisphere. Such damage is consistent with modern frontal lobe TBI patients involving diffuse axonal injury while also being analogous to some forms of degenerative WM disease known to result in profound behavioral change. Not surprisingly, structural alterations to network connectivity suggest major effects on Mr. Gage's overall network efficiency. Connections lost between left-frontal, left-temporal, right-frontal cortices as well as left limbic structures likely had considerable impact on executive as well as emotional functions. Consideration of WM damage and connectivity loss is, therefore, an essential consideration when interpreting and discussing this famous case study and its role in the history of neuroscience. While, finally, the quantification of connectomic change might well provide insights regarding the extent of damage and potential for clinical outcome in modern day brain trauma patients.

Ethics Statement

No new neuroimaging data was obtained in carrying out this study. All MRI data were drawn from the LONI Integrated Data Archive (IDA; http://ida.loni.ucla.edu ) from large-scale projects in which subjects provided their informed written consent to project investigators in line with the Declaration of Helsinki, U.S. 45 CFR 46, and approval by local ethics committees at their respective universities and research centers. Research neuroimaging data sets deposited with the LONI IDA and made available to the public are fully anonymized with respect to all identifying labels and linked meta-data for the purposes of data sharing, re-use, and re-purposing. IDA curators do not maintain linked coding or keys to subject identity. Therefore, in accordance with the U.S. Health Insurance Portability and Accountability Act (HIPAA; http://www.hhs.gov/ocr/privacy ), our study does not involve human subjects' materials.

Medical Imaging of the Gage Skull

Medical imaging technology has been applied to the Gage skull on three known occasions to model the trajectory of the tamping iron, infer extent of GM damage, and theorize about the changes in personality which a patient with such an injury might have incurred. In an influential study, Damasio and coworkers [7] used 2D X-rays to obtain the dimensions of the skull itself and to compute the trajectory of the iron bar through the regions of frontal cortex based on independently obtained CT data from a normal subject. Prior to this, CT scanning of the skull had been obtained by Tyler and Tyler in 1982 for presentation and discussion at a neurological scientific meeting. The location of the raw CT data files from this imaging session is unknown but the data were last reproduced in An Odd Kind of Fame (Appendix E), though they were not part of any other scientific publication of which we are aware. The most recent occurrence of scanning on record was performed on June 12 th , 2001 through the Surgical Planning Laboratory (SPL) at Brigham and Women's Hospital, Harvard Medical School. A series of two high-resolution CT image series were obtained of the skull: one covering the portion of the jaw up to approximately the bridge of the nose, and another covering the cranial vault (see details below). These data were used by Ratiu et al. [8] , [60] to digitally reconstruct and animate the passage of the tamping iron through the skull. An additional CT image of the Gage life-mask, a plaster likeness presumed to have been commissioned by Dr. Bigelow during one of Gage's visits to Harvard Medical School, was also obtained and used to create a surface model of Mr. Gage's face, scalp, and neck. New CT or other medical imaging of the skull specimen is unlikely to be performed in the future due to the age and fragile state of the specimen.

Documented Extent of Neurological Damage

In the book An Odd Kind of Fame (2000, pg 85), Macmillan conveniently summarizes the reports from various anatomists on the damage to Gage's brain. We reproduce these summaries here and also add the findings of Ratiu et al. [8] which appeared after the publication of An Odd Kind of Fame .

Skull CT Data Processing

Due to a variety of circumstances, the raw and processed digital imaging data from the 2001 CT imaging session at Brigham and Women's Hospital were improperly archived and effectively lost to science. However, these image volumes were subsequently recovered by the authors and represent the highest quality data/resolution available (0.5 mm slice thickness) for modeling the skull of this noted patient and for use in the modeling of affected anatomy and connectivity. The scan data were originally obtained with the superior, cut portion of the calvarium and the mandible in the correct anatomical position on a Siemens Somatom CAT scanner (Siemens AG, Erlangen, Germany), in the Department of Radiology, Brigham and Women's Hospital (Boston, MA) [8] . These data were converted from ECAT format to the NIFTI file format ( http://nifti.nimh.nih.gov ) using the program “mri_convert” – part of the FreeSurfer neuroimaging data analysis software package (surfer.nmr.mgh.harvard.edu/fswiki/mri_convert). The CT images were systematically segmented and masked by hand using MRICron ( http://www.cabiatl.com/mricro/mricron/index.html ) and seg3D ( http://www.sci.utah.edu/cibc/software/42-seg3d.html ) to isolate the skull cap (the portion of the skull created by its being cut with a saw upon deposition at the Warren Museum by Dr. Harlow), each piece of remaining/healed bone fragments, the left frontal/temporal portion of the skull along the readily evident fracture lines, and the lower jaw, and separate 3-D surface mesh models were generated for each segment using 3D Slicer ( http://www.slicer.org ). An additional binary image volume was created by hand-filling the space of the cranium that contained Gage's brain. This volume represents a digital version of the standard endocast often used in the analysis of paleontological specimens [61] , [62] , [63] . Use of the Gage skull and life mask CT data is courtesy of the SPL and the Warren Anatomical Museum at Harvard Medical School.

The LONI Pipeline Workflow Environment

For all major image processing operations (e.g. bias field correction, skull stripping, image alignment, etc.) we employed the LONI Pipeline Workflow Environment ( http://pipeline.loni.ucla.edu ; Fig. S1 ). This program is a graphical environment for construction, validation, and execution of advanced neuroimaging data analysis protocols. It enables automated data format conversion, leverages Grid computer systems, facilitates data provenance, and provides a significant library of computational tools [64] , [65] , [66] .

For instance, employing LONI Pipeline, we used the Brainsfit software package ( http://www.nitrc.org/projects/multimodereg/ ) to register the T1 anatomical MRI volumes to the endocast template. Diffusion gradient image data were processed in native subject space using Diffusion Toolkit ( http://trackvis.org ) to reconstruct the fiber tracts. Data processing workflows to compute inter-regional connectivity matrices were constructed using purpose-built software. Fig. S2 illustrates an example connectivity matrix displayed using Matlab (Mathworks, Natick, MA, USA).

Measurements of the Skull

Consistent with Damasio et al. , the physical dimensions of the Gage skull were measured as follows in Table 2 using the Slicer software program. Additionally, the following landmarks were identified on the Gage skull: Entrance of the Left Auditory Canal: (49.56, 219.46, −807.75 mm); Entrance of the Right Auditory Canal: (175.04, 212.26, −802.85 mm); and the Middle of Crease Between Frontal Bone Plate and Nasal Bone: (117.04, 301.73, −800.72 mm). Given these landmarks, all the other points can be accurately positioned.

Measurements of the Tamping Iron

One of our team (MCC) visited the Warren Anatomical Museum and, working with lead curator Dominic Hall, obtained the following measurements of the iron using a SPI Digimax caliper (Model: 30440-2): 110 cm in length, 9.5 cm circumference, and 2.88 cm diameter at tail. The rear taper is approximately 19 cm long, the maximum diameter (between the rear and tip taper) is 10.5 cm circumference (3.2 cm diameter), the taper beginning at the tip is 27 cm long, and the diameter at the rod's tip is 72 mm.

The Trajectory of the Tamping Iron

The trajectory of the tamping iron through Mr. Gage's skull and brain has been the subject of much debate and several attempts have been made to infer the relationship between putative damage on the one hand and the lore surrounding Gage's personality and behavioral changes resulting from his accident on the other. Bigelow [67] first attempted to formally model the trajectory of the rod by drilling a hole through another “common” skull (pg. 21), and noted that “a considerable portion of the brain must have been carried away; that while a portion of its lateral substances may have remained intact, the whole central part of the anterior lobe, and the front of the sphenoidal or middle lobe must have been lacerated and destroyed”. Importantly, Damasio [7] and coworkers provided a detailed analysis of the rod trajectory through the skull attempting to identify which brain regions were impacted by the flight of the iron and what effect this impact had on the patient's post-injury behavior. While this study has been well cited, their methodology for determining the rod trajectory has been subsequently questioned [3] .

Ratiu et al. [60] constrained their modeling of the rod trajectory by noting bony injuries to the skull, and by more closely aligning the rod with the clinical information provided by both Harlow and Bigelow. Ratiu et al. inserted the brain of a single normal subject into Mr. Gage's cranial cavity to examine which structures might have been affected. Their reconstruction shows that the path of the iron passed left of the superior sagittal sinus (their Fig. 4b,d ). This is corroborated by the fact that damage to the superior sagittal sinus would have almost certainly caused air embolism and/or significant blood loss, resulting in Mr. Gage's death. In addition, their reconstruction shows, in their normal subject's brain, that the iron's trajectory was also anterior to the cingulate gyrus and to the left lateral ventricle (their Fig. 4 e,f ). No rhinoliquorhea or other indication of post-traumatic CSF fistula was reported, nor that Gage developed ventriculitis, a condition which very likely would have been lethal - especially in the 1840's before the use of antibiotics in common medical practice. However, there is little way of being empirically precise with respect to location of major structures when employing only a single, example subject to represent Mr. Gage's unknown neuroanatomy.

To address this issue, we fit the T1 anatomical and diffusion images from the N = 110 normal, right handed subjects, aged 25–36 into the space of Phineas Gage's cranial vault to map the probability to regional injury and the effects of the tamping rod on WM fiber connectivity. The process of morphing data into the Gage skull is described in the following sections.

Determining the Trajectory of the Tamping Iron

Using the measurements of the original tamping iron [3] , [8] , [24] , [67] , on display at the Warren Museum, a 3-D model of the tamping iron was generated using Matlab and stored as an VTK surface ( http://www.vtk.org ) for visualization using 3D Slicer and for processing using the segmented brain regions and fiber tracts morphed into the space of the Gage 3D cranial endocast volume model.

To constrain the trajectory of the rod through the Gage skull, we examined the work of previous authors to identify noteworthy statements on the condition of the skull, particular patterns of breakage, chips in the bone, and other prominent features that could be used as landmarks to restrict the possible paths which the rod might have taken ( Fig. S3 ). For instance, the left maxillary molar is missing and osteological analysis by the Warren Museum states that it was lost ante-mortem (Object File WAM 00949, Warren Anatomical Museum, Francis A. Countway Library of Medicine). While Harlow and/or Bigelow do not specifically mention the loss of this tooth, it is likely that the rod made contact with it after passing through Gage's cheek, and was either dislodged completely or knocked loose and lost sometime during his recovery. Additionally, for the zygomatic arch the Warren Museum records (also WAM 00949) indicate “Maxilla: ante-mortem sharp force trauma remodeling” but are not more specific about the potential for complete breakage of the zygomatic process which was suspected by Ratiu et al. Still, it can be assumed that some contact was made between the iron and the interior portions of the arch. A collection of previously reported observations contributing to the set of applied constraints are noted in Table 3 .

In particular, we concur with Ratiu et al. that Mr. Gage had his jaw open at the moment of the accident. Harlow reports Gage looking over his right shoulder and saying something to his crew at critical moment of the blast. In the casting of possible rod trajectories, the most likely position of the jaw was determined to be −15° in pitch (downward) and 5° in yaw (to the right) relative to the closed position of the jaw. This position allowed the unhindered passage of 1.303×10 3 out of 1×10 9 viable rod trajectories inclusive through the skull. With this jaw position, in contrast to the suspicion of Bigelow, we noted no contact between the rod and that of Mr. Gage's coronoid process. Jaw rotations at greater pitch angles were inconsequential to our results. Therefore, these values represent the minimal angular jaw deflections needed to allow the maximal number of rod passage scenarios without jaw intersection. Additionally, these values are typical for the acts of speaking and mastication in which the maximum typical jaw pitch extension in males is ∼30° [68] . Assuming the jaw to be in a completely closed position forces rod trajectories to incline more toward the right hemisphere in order to avoid contact with the jaw and breaking it - as may result from the trajectories identified by Damasio et al. Having the jaw open provides a greater number of possible paths which are closer to the vertical axis, which thus does not enforce an intersection of the rod with the right hemisphere ( Fig. S4A , B, D; Fig. S5 A–D). The rod's intersection with white matter fiber tractography was thereby determined ( Fig. S6 ). Movie S1 illustrates the path of the tamping iron through Mr. Gage's skull and the white matter fiber pathways of his left hemisphere.

Normal Subjects

T1 anatomical MRI and 64-direction diffusion tensor images (DTI) from N = 110 right-handed male subjects between the ages of 25 and 36 were selected from the LONI Integrated Data Archive (IDA; http://ida.loni.ucla.edu ). The age range was specifically selected to match the age at which Mr. Gage received his injury (25 years old) as well as the age at which he succumbed as a presumed result of the brain damage he experienced (36 years old). Subjects were all healthy “normals” with no neurological or history of psychiatric illnesses.

Segmentation and Parcellation

Segmentation and regional parcellation were performed using FreeSurfer [69] , [70] , [71] following the nomenclature described in [72] . For each hemisphere, a total of 74 cortical structures were identified in addition to 7 subcortical structures and to the cerebellum. The 82 cortical and sub-cortical label names were assigned per hemisphere to each brain based upon the nomenclature described in Destrieux et al. [72] . Regional parcellation was performed using FreeSurfer [73] , [74] , [75] , [76] (see also above). The numbers of hemispheric partitions in the segmentation was as follows – frontal (21), insula (8), limbic (8), temporal (12), parietal (11), occipital (14), basal ganglia (8), and brain stem (1). The complete coding scheme is as presented describing the parcellation scheme naming convention ( Table 6 ) and their abbreviations ( Table 7 ), which can be used to identify the regional labels in Figs. 2a and ​ and3 3 .

Connectogram Design

Neuroanatomical structure and connectivity information were graphically depicted in a circular diagram format using freely available Circos software ( [77] , www.cpan.org/ports ). Briefly, Circos is a cross-platform Perl-based application which employs a circular layout to facilitate the representation of relationships between pairs of positions by the use of various graphical elements, including links and heat maps. While traditionally used to render genomic information, Circos can be effectively adapted to the exploration of data sets involving complex relationships between large numbers of factors. In our case, cortical parcellations were represented as a circular array of 165 radially aligned elements representing the left and right cerebral hemispheres, each positioned symmetrically with respect to the vertical axis. We term this representation a “connectogram”. The brain stem was positioned at the most inferior extremity of the Circos ring as a consequence of its inclusion as the only midline structure. In this manner, Circos' ability to illustrate chromosomes was modified for lobar depiction, while its functionality for illustrating cytogenetic bands was modified to represent cortical parcellations. As previously described, each parcellation was assigned an arbitrary but unique RGB color (see below). Parcellations were arranged within each lobe in the order of their location along the antero-posterior axis of the cortical surface associated with the published FreeSurfer normal population atlas [72] . To determine this ordering, the center of mass was computed for the GM surface portion associated with each parcellation, and the order of all parcellations was determined based on the locations of these centers of mass as their distance from the frontal pole increased along the antero-posterior coordinate axis. A LONI Pipeline workflow for the creation of the connectogram images using parcellation and connectivity matrix information is available upon request from the authors. A complete description of the methods for connectogram construction can be found in [78] with applied examples in [79] .

Color Coding Schemes

Each cortical lobe was assigned a unique color scheme: black to red to yellow (Fro), charlotte to turquoise to forest green (Ins), primrose to lavender rose (Lim), pink to lavender to rosebud cherry (Tem), lime to forest green (Par), and lilac to indigo (Occ). Each structure was assigned its unique RGB color based on esthetic considerations; e.g. subcortical structures were colored light gray to black. Color scheme choice and assignment to each lobe were made by taking into account the arrangement and adjacency of lobes on the cortical surface, with the goal of avoiding any two adjacent lobes from having overlapping or similar color schemes which were too similar. The individual colors of the scheme associated with any particular lobe were assigned to every parcellation within that lobe in such a way as to create a distinct contrast when displayed on cortical surfaces ( Fig. S2 ) or on the connectogram graphics ( Figs. 2 and ​ and3). 3 ). The particular regional color mappings employed in this article can be considered arbitrary and are not intended to convey any universal or standard regional color scheme, per se .

Representation of Cortical Metrics

Within the circular framework representing the cortical parcellations, five circular heat maps were generated, each encoding one of five structural measures associated with the corresponding parcellation. Proceeding inward towards the center of the circle in Fig. 2 , these measures were: total GM volume, total area of the surface associated with the GM-WM interface (forming the base of the cortical ribbon), mean cortical thickness, mean curvature and connectivity per unit volume. For subject-level analysis, these measures were computed over the entire volumetric (or areal, as appropriate) extent of each parcellation; for the population-level analysis, they were averaged over all subjects.

Values for each measure were mapped to colors, using a scheme that ranged from the minimum to the maximum of the data set. For example, the cortical thickness t with values ranging from t min to t max was normalized as t 1  = ( t − t min )/( t max − t min ). The latter value was mapped onto a unique color from the color map of choice. Thus, for example, hues at color map extremities correspond to t min and t max , as required. For subcortical structures, brain stem and cerebellum, three measures (area, thickness and curvature) were unavailable on a parcellation-by-parcellation basis; their corresponding heat map entries were consequently left blank.

The connectogram in Fig. 3 , illustrating the effects of the tamping iron lesion, represents the individual regionally-specific network metrics (i.e. betweenness centrality, eccentricity, mean local efficiency, and clustering coefficient) and are colored distinctly to be consistent with the cortical maps of the same but unaffected network metrics presented in Fig. 5A . The inner-most ring of the connectogram in Fig. 3 represents the average proportion of regional GM loss taken across subjects.

Connectivity Calculation

To compute connectivity between regions for each subject, the location of each fiber tract extremity within the brain was identified, while the GM volume associated with each parcellation was also delineated. For those fibers which both originated as well as terminated within any two distinct parcellations of the 165 available, each fiber extremity was associated with the appropriate parcellation. For each such fiber, the corresponding entry in the connectivity matrix (e.g. Fig. S2 ) of the subject's brain was appropriately updated to reflect an increment in fiber count [80] , [81] . Each subject's connectivity matrix was normalized over the total number of fibers within that subject; for population-level analysis, all connectivity matrices were pooled across subjects and averaged to compute probabilistic connection probabilities.

Connectivity Representation

For subject-level connectograms, links were generated between any two parcellations whenever a WM tract existed between them. In population-level analyses, the former was done whenever there was a non-vanishing probability for a WM tract to exist between the two regions ( Fig. 2 ). Links were color-coded by the average fractional anisotropy (FA) value associated with the fibers between the two regions connected by the link, as follows. The lowest and highest FA values over all links ( FA min and FA max , respectively) were first computed. For any given connection i where i  = 1, …, N ( N being the total number of connections), the FA value FA i associated with that connection was normalized as FA′ i  = ( FA i − FA min )/( FA max − FA min ), where the prime indicates the FA i value after normalization. After this normalization, FA′ i values were distributed in the interval 0 to 1, where 0 corresponds to FA min and 1 corresponds to FA max . The interval 0 to 1 was then divided into three subintervals (bins) of equal size, namely 0 to 1/3, 1/3 to 2/3, and 2/3 to 1. For every i  = 1, …, N , link i was color-coded in either blue, green or red, depending on whether its associated FA′ i value belonged to the first, second, or third bin above, respectively. Thus, these bins represent low, medium, and high FA. In addition to encoding FA in the link's color as described, relative fiber density (the proportion of fibers for each connection out of the total number of fibers) was also encoded as link transparency. Thus, within each of the three FA bins described, the link associated with the highest fiber density within that bin was rendered as completely opaque, whereas the link with the lowest fiber density was colored as transparent as possible without rendering it invisible. For example, the link with FA′ i  = 1/3 was colored as opaque blue, whereas the link with the lowest FA′ i value was colored as most transparent blue. Similarly, the link with FA′ i  = 2/3 was colored as opaque green, and the link with the lowest value of FA′ i greater than 1/3 was colored as faintest green. The links associated with the lowest fiber densities were drawn first, and links with progressively larger relative fiber densities were drawn on top of the former. The process was successively repeated by drawing links with higher fiber densities on top of links with lower fiber densities. Thus, links associated with the largest fiber densities were drawn “on top” of all other links.

Representation of Connectivity Affected by Pathology

Links associated with fibers affected by pathology were designed to encode fiber density using the same transparency coding scheme as described in the previous subsection. In contrast with the case of healthy fibers, however, two different color schemes were used to encode pathology. Whenever fibers existed between one cortical region that was affected by pathology and another that was not, the color used to draw the corresponding link was brown. By contrast, links between parcellations that were both affected by pathology were drawn using the color gray. This allows one to visually distinguish between connections that involve only one affected region (brown links) and connections that involve two regions that were both affected (grayscale links) ( Fig. 3 ).

Calculation of Pathology Effects upon GM/WM Volumetrics

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The calculation described above estimated the amount of GM that was directly affected by the passage of the rod. To compute the total amount of GM that was affected by pathology, however, it is not sufficient to compute the sum of directly lesioned GM parcellation volumes because pathology-affected GM includes cells with intact somas whose axons were nevertheless injured in at least one location along their paths. In other words, a population of neurons whose GM axons were destroyed or affected in spite of their somas being outside the volume of direct injury should also be taken into account when computing the amount of affected GM. Furthermore, the destruction of fibers originating in some parcellated region r 1 that had been directly affected by pathology could also have affected the GM in parcellations to which r 1 is connected by WM fibers originating in r 1 . Consequently, an appropriate calculation of the total GM volume affected by pathology must take into account available quantitative information concerning the extent to which WM fibers affected by pathology could indirectly affect GM as well. To obtain and interpret such information meaningfully, one can use the measures of GM and WM atrophy described below:

Let c ij ( h ) be the probabilistic count of fibers between parcellated regions r i and r j , as computed over all healthy subjects using the methods described in the section on Connectivity Calculation . Note that c ij ( h ) is the connectivity matrix entry which specifies, in a probabilistic sense, the proportion of fibers between parcellated regions r i and r j . The dependence of the count c ij upon the parameter h (denoting health) reflects the fact that the fiber density can be different depending on whether the parcellated region has or has not been affected by pathology. For the former scenario, the count is denoted by c ij ( p ), where p stands for pathology. If two parcellations r i and r j , are unaffected, then

equation image

If, however, either one or both of r i and r j are affected, then

equation image

where c ij ( d ) stands for the count of fibers that were destroyed (hence d as the argument) as a result of the injury. The change in fiber count from health to pathology between two regions untouched by the rod reflects the extent to which the somas of the neurons connecting the regions have been affected by direct injuries to the WM fibers between them. Consequently, it is reasonable to posit that an appropriate measure of GM injury in this case can be formulated by relating the proportion of destroyed WM fibers between two regions to the proportion of affected GM volume within the regions. For this purpose, we computed the metric

equation image

Histological research [82] (and references therein) indicates that the constant of proportionality can be assumed to be approximately equal to 1, i.e.

equation image

This relationship is useful because, whereas calculation of the ratio on the LHS is straightforward from DTI tractography as previously described, that of the ratio on the RHS is not because regions r i and r j do not necessarily intersect the passing rod.

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A second metric of interest is the ratio

equation image

Average Percentages of Brain Regions Intersected by the Rod

The average percentage regional volumes (and their standard deviations) intersected by the rod pooled over N = 110 subjects are listed in Table 7 and illustrated graphically in the connectogram of Fig. 3 .

Network Analysis

Because network theory can provide essential insight into the structural properties of cortical connectivity networks in both health and disease [83] , several network metrics of particular significance were computed for each subject, starting with the degree of each node. In our case, nodes were denoted by parcellated regions and edges were represented by fiber tracts. Nodal degree is the number of edges connected to a node and its calculation has fundamental impact upon many network measures; moreover, node degree distributions are highly informative of network architecture. The entry indexed by i and j in the distance matrix of the graph contains the minimum weighted physical length of the path connecting vertices i and j and was computed using the algebraic shortest paths algorithm [84] . Degree of connectivity is represented as the inner-most ring in Fig. 2 , though was not analyzed further beyond its being utilized in the computations of some of the overall network metrics detailed below.

The measurement of network attributes can be generally broken down into the examination of overall network integration – the measurement of path lengths between nodes in a network and the extent of network-wide interaction and ease of communication between distinct regions; segregation – the extent to which nodes of the network group themselves into separate communities; and small worldness – the quantification of the generally shorter path lengths and higher clustering observed in many biological and technological networks with respect to randomly connected systems [85] . To specifically measure these overall network properties, we chose to focus on three particular metrics. To assess network integration from each subject's connectivity matrix we measured the characteristic path length, a measurement of the global average of a graph's distance matrix [86] . Appropriate to our application, the weighted characteristic path length of a network may be altered as a result of brain trauma [87] . To measure the degree of segregation, we computed the mean local efficiency of each network. Investigating network segregation can be important because it can reveal how much information brain regions are able to exchange as well as the extent to which such regions remain structurally segregated from each other. In this instance, reduced efficiency might be expected as a result of a severe penetrating head wound. Finally, we measured network small worldness , i.e. the ratio comprised of the observed characteristic path length relative to that observed in a random network having the same degree distribution and the observed clustering coefficient relative to that observed in a random network.

Additionally, to characterize the regionally-specific effects of the tamping iron lesion, we also computed several additional graph theoretical measurements for each parcellated brain region. These included 1) betweenness centrality, measuring the number of shortest paths from all vertices to all others that pass through that node, 2) local efficiency, the mean shortest absolute path length of at that node, 3) clustering coefficient, measuring the degree to which a node is nodes in a graph is a member of a cluster or clique, and 4) eccentricity, representing the greatest geodesic distance between that node and any other vertex in the graph. Metrics were computed for each subject and averaged with respect to weighting by subject-wise regional parcellation volume. To be consistent with other studies reporting these regionally-specific values, we chose not to normalize them with respect to those obtained in equivalent random networks. Averages of these metrics are illustrated in Fig. 5a(i–iv) along with linear colorbars indicating the ranges of observed mean values. Effects on these metrics in the presence of the tamping iron can be seen as the first four of the inner-most rings of the connectogram presented in Fig. 3 .

Several additional global as well as local graph metrics were computed but not reported here due to potentially excessive colinearlity, imprecision, or due to recognized difficulty with interpretation. For instance, network modularity [88] was not considered due to the heuristic nature of its computation and tendency to provide unreliable values upon repeated estimation. While many of these other network metrics are well known and have their unique advantages [83] , the ones chosen parsimoniously capture the overall changes in network architecture for this patient and the extent to which his injury would compare to similarly-sized lesions in other areas of the cortex. The Brain Connectivity Toolbox (BCT; https://sites.google.com/a/brain-connectivity-toolbox.net/bct/Home ) was used for all weighted and unweighted connection density- and path-length related graph theoretical computations [84] .

For each of the global graph theory measures described above, the mean and standard deviation was computed for each subject in both intact (healthy) and pathology-affected scenarios (the tamping iron lesion as well as simulated lesions over the brain). As an additional basis, we also performed a degree-preserving randomization process using the BCT for each subject's intact network, computed the aforementioned network measurements, and report these averaged across subjects. Such normalization has been recently advised by Rubinov and Sporns [84] . In our case, this involved 10,000 “rewiring” iterations of the BCT null_model_und_sign (compiled C-code version of the Matlab code from the “the bct-cpp project”; http://code.google.com/p/bct-cpp ) algorithm per region by subject. To accommodate the computational cost of performing such a randomization process, we utilized fully the 1200 node Linux cluster based at the Laboratory of Neuro Imaging (LONI) at UCLA to randomize subjects and regions in parallel. Incidentally, normalization of each network type by its own randomized version has the effect of scaling out differences between networks – lesioned or otherwise – and thus makes the metrics largely insensitive to the effects of network damage. So, to provide a common frame of reference across each network type, the observed metrics for the intact, tamping iron, and simulated lesions were normalized with respect to the degree-preserving randomization of the intact network. Finally, to specifically test the differences between the intact and the tamping iron-lesioned networks between subjects, paired Student's t-tests were applied for each normalized measure to identify significant differences between means at p≤0.01. Results are summarized in Table 5 . Further details on the lesion simulation are provided in the section below.

Equivalent Lesion Simulation and Comparison

To examine the tamping iron lesion's specificity to changes in network structure, we investigated whether changes Gage's brain network properties were significantly different from those that would be expected by chance for the same amount of GM loss located in other regions of the brain. To address this, network properties were computed for a set of simulated lesions systematically positioned over the cortex (excluding the tamping iron lesion itself) and Mr. Gage's network measurements were compared to the distribution of the average metric values taken over subjects and lesions. Specifically, we adopted an approach similar to that of Alstott et al. [89] , who simulated the effects on functional connectivity of targeted lesions distributed in various regions of the cerebral cortex. In our extension of this method, localized area removal was performed by deleting all nodes and their connections within regions consisting of contiguous anatomic parcellations as defined using the methods of Destrieux et al. [72] . In contrast to Alstott et al., however, our structural connectivity simulations also sought to account for additional lesion effects upon WM by modeling the removal of so-called “fibers of passage”. To do so, connectivity network edges between anatomic parcellations neighboring the GM lesion were removed without deleting the corresponding nodes connected by these edges, unless these nodes also belonged to the GM portion of the lesion itself.

The details of our simulation are as follows: 500 distinct lesions were simulated by first populating the cortical surface with 500 distinct sets of contiguous parcellations. Each of these sets was subsequently used as a synthetic “lesion”, subject to the constraints that the percentages of WM and GM lost due to the lesion were the same as had been estimated for Gage's tamping iron injury. This process was repeated until 500 distinct lesions were created uniformly across the brain, and the procedure was repeated for all 110 subjects included in the study. To ensure that each of the lesions had approximately the same position in each subject, lesion configurations were defined using the cortical atlas of Fischl, Dale et al. [71] , and the corresponding location of every lesion in each subjects was identified by mapping the lesion configuration from the atlas to each subject's cortical surface using existing/published FreeSurfer methodology [70] , [90] , [91] . Thus, by the process described above, 500 distinct lesions that were identical in size to Gage's from the standpoint of percentage WM and GM loss were created uniformly over the brain in each of the 110 subjects. Subsequently, each lesion's effect on overall network properties was computed. Global network metrics were then pooled over all subjects and simulations so as to obtain the average (i.e. most probable) value of every metric for each of the 500 simulated lesioned networks.

In this context, for each network metric, the null hypothesis was formulated as the statement that the metric value associated with Gage's lesion of left frontal cortex was drawn from the same distribution as that of the “average” cortical lesion. This comparison of changes in network properties as a function of lesion location is one viable and interesting way to assess whether Mr. Gage's brain network properties were significantly different from those that would be expected by chance for the same amount of GM and WM loss. Specifically, for each metric m , the whole brain mean μ ( m ) and standard deviation σ ( m ) of the metric was first computed over lesions. Subsequently, for the metric value m T associated with each lesion, the standard score

equation image

was computed. Results for the average properties in the intact networks, the tamping iron injury, and the lesion simulations – in addition to their degree-preserved randomized comparison versions - are illustrated in Fig. 5b (i and ii) . Similar calculations and comparisons on the basis of small worldness provided patterns highly similar to that for network integration, thus were deemed redundant, and therefore are not illustrated here.

Finally, we compared the observed effects of the tamping iron lesion on the random network normalized graph theory measures of integration and segregation against that observed for all remaining lesions. Computed as Z-statistics, the results of these comparisons are illustrated graphically for network integration and segregation in Fig. 5c (i and ii) , respectively, and are colored to show those effects most similar to the tamping iron lesion (black), moderately similar (orange), and most dissimilar (white). Generally, as one moves posteriorly away from the Gage lesion site, similarity on network effects tends to be reduced. However, exceptions exist in bilateral post-central gyrus and the left superior and posterior portion of the parahippocampal gyrus.

Supporting Information

The LONI Pipeline Workflow Environment. We applied the LONI Pipeline [93] , [94] for segmentation and registration of the input MRI image volume data, the processing of all DTI tractography, and computation of tract statistics. This grid-based solution provides validation and distribution of new computational tools, and an intuitive graphical interface for developing and executing parallel volumetric processing software. See http://pipeline.loni.ucla.edu for additional details.

Views of the cortical parcellation of a sample subject. Top rows show the lateral, anterior, and dorsal surfaces; second row shows medial, posterior, and ventral pial surfaces, while the bottom two rows show the same orientations but as inflated pial surfaces to more adequately present the extent of regional parcellations and their color coding. The arbitrarily chosen regional colors are the same as those of the outer-most ring in Figure 2 and whose RGB values are referenced Table 5 are shared by the outer most ring of brain regions on the connectogram images permitting rapid cross-reference.

Connectivity Matrix. Each row and each column represent distinct parcellated regions where in each cell i,j was computed the number of fibers that were found to begin or end in each region pair, the average FA, and the average fiber length over subjects.

Modeling of the Skull Fragmentation and the Rod. a) Models of the eyeballs were placed in to the ocular cavities in order to use them as constraints for the trajectory of the tamping iron. According to Harlow's account, the left orbit was extended outward “by half its diameter”. b) The bones of the skull representing the major breakages were systematically labeled and can be independently manipulated using Slicer. The mandible was also rotated downward and laterally in order to allow the tamping iron not to impinge on it and also to comply with Harlow's account that Gage was in the act of speaking to his men at the moment of the blast. c) The surface model of the Gage skull, with closed mandible, along with the surface of the life mask commissioned by Bigelow. d) A view looking superiorly along the tamping iron's computed trajectory noting how the iron displaced the left anterior frontal bone as it passed.

Illustrating the Intersection of the Rod and the Brain. a) A figure showing the passage of the rod through the skull with the bones above the cranial “cap” cut at Harlow's direction, and its intersection with the left anterior white matter fiber pathways of an example subject. The complementary hemisphere is displayed to illustrate that the rod did not intersect that hemisphere. b) A view of the rod displacing the bones of the skull. c) A close up, coxial view of the inferior portion of the iron along its trajectory. d) The intersection of the tamping iron with the left frontal cortex with each major bone fragment removed.

The Effects of the Tamping Iron on White Matter Fiber Tractography. a) A view of the Gage skull with the white matter fiber tracts of an example subject warped to the space. In this view, fibers which intersect the rod's pathway have been removed. b) A transaxial view of the DTI fiber pathways remaining after those which were intersected by the rod had been removed. c) The fibers intersected by the rod connect areas of cortex throughout the left cerebral hemisphere as well as between hemispheres. d) A sagittal view of the fibers experiencing damage by the tamping iron. All bone fragments and the cranial “cap” have been removed.

Movie of The Effects of the Tamping Iron on White Matter Fiber Tractography. This movie rendering illustrates the passage of the tamping iron through the Gage skull and its intersection with left hemispheric white matter fiber pathways. The right hemispheric cortical surface model is displayed to illustrate that the rod did not cross the midline to damage right frontal cortex. The rendering was created using 3D Slicer ( http://slicer.org ).

Acknowledgments

The authors wish to acknowledge the assistance of Dominic Hall, Curator, Warren Anatomical Museum, Center for the History of Medicine, Francis A. Countway Library of Medicine 10 Shattuck Street, Boston, MA 02115 for access to Mr. Gage's skull, life mask, and tamping iron. We also express our gratitude to Marianna Jakab of the Surgical Planning Laboratory at Harvard Medical School for assistance with the CT image volumes, and to Drs. Danielle Bassett (Department of Physics, University of California Santa Barbara), Randal McIntosh (Rotman Institute, Toronto, Canada), and Paul M. Thompson (Department of Neurology, University of California Los Angeles) for their input and guidance on our network theoretical analyses. We are also extremely grateful for the rigorous and thorough comments of two anonymous reviewers on earlier versions of this article. Finally, we are indebted to the dedicated staff of the Laboratory of Neuro Imaging (LONI) at UCLA.

Competing Interests: The authors have declared that no competing interests exist.

Funding: This work was supported by 2U54EB005149-06 “NAMIC: Traumatic Brain Injury - Driving Biological Project” to JVH, 1RC1MH088194 “Informatics Meta-Spaces for the Exploration of Human Neuroanatomy” to JVH, and P41RR013642 “Computational Anatomy and Multidimensional Modeling” to AWT. This work was performed as part of the Human Connectome Project (HCP; www.humanconnectomeproject.org ). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

  • Our Mission

Illustration of student head with classroom design materials swirling around while teacher leads class

7 Ways to Support Executive Function in Your Classroom

How to design your classroom environment and materials to support a wide range of executive function skills, from managing distractions to boosting planning skills.

Our understanding of executive functions is due, at least in part, to a tragic accident. 

In 1848, Phineas Gage was working on a blast crew, preparing the bed of the Rutland & Burlington Railroad in Vermont. As he placed explosive gunpowder in a hole, it brushed against a 3-foot-long iron bar, causing an explosion and scattering high-velocity projectiles. The iron bar pierced Gage’s skull, destroying a portion at the front of his brain—what we now call the prefrontal cortex, the seat of executive function skills like working memory, planning, organizing, and attention. Gage lived but abandoned his future plans, his doctors noted, rarely thought about the consequences of his actions, and could no longer hold a steady job.

“Today, it is well understood that the prefrontal cortex of the brain controls the organization of behavior, including emotions and inhibitions,” researchers explain in a 2020 study . Prior to Gage’s case, the frontal lobes were considered “silent structures, without function and unrelated to human behavior.”

Inside classrooms, executive function skills—the ability to follow instructions, focus while managing distractions, and flexibly plan for academic projects, according to Harvard’s Center on the Developing Child —are the very underpinning of academic success. In a large-scale study involving over 11,000 students, researchers discovered that young students with executive function problems were 10 times more likely to struggle academically as they got older. “Deficits in executive function,” the researchers concluded, “increased kindergarten children’s risk of experiencing repeated mathematics, reading, and science difficulties across elementary school.” Other research suggests that “executive functions account for more than two times more variation in final grades than does IQ, even in college.” 

Creating a classroom environment that supports students’ executive function skills requires a thoughtful approach—no matter the grade level. Distractions and disorganization can hide inside classroom and lesson design, and adjustments to both little and big details can dramatically improve outcomes.

The Clarity Problem

To reduce cognitive load—the demands placed on a student’s working memory— aim for clarity in handouts, classroom instructions, presentations, and lectures. 

The best lectures are “well organized, clearly presented, and reduce unnecessary mental load,” explains psychology professor William Cerbin in a 2018 study . Break longer lectures into smaller, more manageable chunks, and be sure to build in periodic breaks to help students catch up, ask questions, and consolidate their learning, Cerbin’s review of the research suggests.

Classroom instructions can cobble the works. When preparing materials for distribution, consider using headings and annotations to help students focus on high-priority content. Use salient visual cues—underlines, highlights, and arrows that draw attention to critical material, for example—to boost retention by up to 36 percent, according to a 2020 study . Breaking up a wall of text with insightful subheadings, meanwhile, can double reading comprehension by improving a student’s “overview of the texts’ content” while encouraging them to “think more about the content during reading,” according to a 2023 study . 

Student feedback can be a powerful antidote to confusing materials—what feels like a clear lesson to you may be a jumble to your students. Create simple surveys asking questions like “Was there anything that was confusing to you?” or “What was the hardest part of the lesson?” to see what’s working well or needs to be changed, researchers explain in a 2019 study .

Scattered Young Minds

Organizing increasingly complicated academic and social calendars doesn’t come naturally to kids, but successfully teaching them to “learn how to learn” can dramatically improve academic performance, according to a 2020 study . Skills like making priority lists and creating and updating digital schedules should be taught the way we teach traditional subjects, say the renowned psychology professors and researchers Angela Duckworth and Ethan Kross. For younger students, create and sustain routines for entering, transitioning, and leaving the classroom. Use visual aids—displayed in prominent areas—to remind students of expected behaviors. A 2023 study , for example, found that the use of a color wheel to signal to students when it’s time to listen to the teacher, work independently or in groups, or transition between activities reduced the number of times the teacher had to repeat instructions by 75 percent. Taken together, these approaches reduce the number of factors that kids need to manage and clear the way for better learning. For older kids, make organizational tactics an integral part of the curriculum so that the “skills or the habits will be rewarded” and teens will be more “receptive and eager” to learn them, according to Duckworth. For example, consider maintaining a yearlong classroom calendar of due dates, and have students periodically work together to map out study plans in small groups. Teachers at King Middle School in Portland, Maine, actively model how to prioritize tasks and manage their schedules in front of the classroom, and then invite students to do the same. “In eighth grade there’s a ton of different deadlines and work to manage,” says ELA teacher Catherine Paul. “So, we do the ABC priority list in order to help them.”

Scaffolding for Learning Differences

Students come into the classroom with a wide range of executive function capabilities. For example, students with learning disabilities such as dyslexia “perform worse than typically developing children on all executive function dimensions,” according to a 2023 study , while students with autism and ADHD struggle with “attention, flexibility, visuospatial abilities, working memory, processing speed, and response inhibition,” compared with their peers, a 2023 meta-analysis found. 

Since 75 percent of students with a learning disability spend most of their day in mainstream classrooms, it’s likely that you’ll have to make accommodations.

Students with learning disabilities frequently have to work harder—and require more support—than their peers, researchers explain in a 2014 study , warranting the use of more explicit approaches that often benefit all students. Former special education teacher Brittany Patrick recommends narrating your thought processes when going over a lesson or discussing rules and expectations, for example. 

For complex activities, consider breaking tasks down into smaller steps and modeling them aloud. Instructional aids such as graphic organizers and other visual scaffolds can help students organize and retain information more effectively, while new AI tools like Diffit allow educators to create leveled texts for struggling readers within seconds.

Designing a Clutter-Free Learning Space

A well-designed classroom doesn’t just showcase learning materials—it also supports the development of a range of executive function skills. Students should be in an environment that’s free from distractions or overstimulation. One often-overlooked source, researchers suggest, are classroom walls, which should be “designed to provide a lively sense to the classroom, but without becoming chaotic in feel,” a 2015 study recommends. “As a rule of thumb, 20 to 50 percent of the available wall space should be kept clear.”

Avoid the clutter while showcasing student work and academically relevant visual aids such as anchor charts and maps. To guard against the slow creep of accumulation, make it a rule to remove older material as you add new items to your displays. Also consider how environmental features —such as uneven or glaring light, noise, excessive heat, or poor ventilation—can impair cognitive performance when students are trying to focus. 

Mobile phones have emerged as a potent source of distraction in middle and high school. “Mere proximity to a mobile device was found to distract students and to have a negative impact on learning in 14 countries,” according to a 2023 UNESCO report , and separating students from their phones during class time is now widely considered to be best practice. The best phone policies come from the top and are consistently enforced throughout the school, according to one comprehensive study from the United Kingdom.

Don’t Forget Your Virtual Classroom

Your online working spaces should be as clearly signposted and well-organized as your physical ones. Streamline your digital classroom’s navigation, create a single hub or page for crucial daily activities, and think through how online communications, documents, and assignments are organized. “Establish clear routines and expectations in your Learning Management System (LMS) early on,” writes science teacher Ian Kelleher—incorporate some time to practice submitting assignments, for example, and stick to your routines so the tools become second nature for students. A well-designed LMS can be “a pillar of certainty in an ever-changing school landscape,” helping students plan, be organized, and stay on task.

Managing a Finite Resource

If you’ve played the classic Simon memory game—where players are tasked with repeating a series of lights on a colorful disc—you know that there’s a finite limit to the span of colors a person can remember: typically around seven (dropping down to between four and six for young children).

When presenting students with new information, consider how unfamiliarity and difficulty may be contributing to cognitive load. One 2019 study found that when students understood less than 59 percent of the key terms in a lesson experience, it “compromised” comprehension, arguing for simple vocabulary prep before kids wrestle with the core material.

Be sure to make the time to connect new material to prior knowledge , review foundational information frequently , and build in regular brain breaks , which recent research suggests are more crucial to learning than we formerly realized. Finally, when giving a lecture or conducting a lesson, provide ample opportunities for students to offload some of that information and process it before it overwhelms them—use handouts that summarize crucial details, for example, or take a brief intermission in the lecture to allow students to turn-and-talk to consolidate their insights.

The Problem With Testing

When researchers analyzed the impact of an upcoming high-stakes exam on anxiety levels, they discovered that the mere anticipation—not the test itself—led to a 15 percent increase in cortisol levels, resulting in a 80-point drop in SAT scores. Too much high-stakes testing can frazzle the nerves and result in a cascade of self-regulation problems, from poor sleep to procrastination, according to a 2021 study . 

You don’t want to give up on tests entirely—that can set students up to perform poorly in future stressful situations. To reduce anxiety and safeguard self-regulation skills, consider using more frequent low-stakes quizzes, or drop the lowest grades from your scoring rubric. Effective strategies such as Test Talks —a pretest activity where students talk about the test in small groups—and short writing exercises that reframe stress as an energetic boost, instead of a burden, can give students the self-regulation skills to better manage stress levels.

IMAGES

  1. The Curious Case of Phineas Gage's Brain : Shots

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  2. The amazing case of Phineas Gage

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  3. The Curious Case of Phineas Gage (Ep71)

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  4. What Really Happened to Phineas Gage?

    case study of phineas gage

  5. The Case of Phineas Gage

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  6. Phineas Gage Case study

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VIDEO

  1. Phineas gage style 🥸

  2. What Is Phineas Doing!?

  3. I met Phineas

  4. Phineas Gage: A Remarkable Tale of Survival

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COMMENTS

  1. What Happened to Phineas Gage?

    October 10, 2023 Reviewed by Saul Mcleod, PhD On This Page: What happened to Phineas Gage? What happened after the accident? How did Phineas Gage's personality change? Damage to the brain The influence of Phineas Gage Key Takeaways The case of Phineas Gage has been of huge interest in the field of psychology and is a largely speculated phenomenon.

  2. Phineas Gage's great legacy

    The case of Phineas Gage is an integral part of medical folklore. His accident still causes astonishment and curiosity and can be considered as the case that most influenced and contributed to the nineteenth century's neuropsychiatric discussion on the mind-brain relationship and brain topography.

  3. Phineas Gage: Biography, Brain Injury, and Influence

    Kendra Cherry, MSEd Updated on January 17, 2024 Fact checked by Emily Swaim Author unknown / Wikimedia Commons Table of Contents Phineas Gage's Accident Change in Personality Severity of Brain Damage Impact on Psychology What Happened to Phineas Gage After the Brain Damage? Phineas Gage is often referred to as the "man who began neuroscience."

  4. Lessons of the brain: The Phineas Gage story

    That was the case of Phineas Gage. Whether the Vermont construction foreman, who was laying railroad track and using explosives at the time of the industrial accident, was lucky or unlucky is a judgment that Warren Anatomical Museum curator Dominic Hall puzzles over to this day.

  5. Phineas Gage

    Phineas P. Gage (1823-1860) was an American railroad construction foreman remembered for his improbable [B1] : 19 survival of an accident in which a large iron rod was driven completely through his head, destroying much of his brain's left frontal lobe, and for that injury's reported effects on his personality and behavior over the remaining 12 ...

  6. The Curious Case of Phineas Gage's Brain : Shots

    Gage's famous case would help establish brain science as a field, says Allan Ropper, a neurologist at Harvard Medical School and Brigham and Women's Hospital. One Account Of Gage's...

  7. 1.3: The Case of Phineas Gage- Connecting Brain to Behavior

    Phineas Gage made a huge contribution to our understanding of the frontal lobe damage and its subsequent change in personality. Furthermore, his case expanded knowledge in neurology in several areas, including the study of brain topography in behavioral disorders, the development of psychosurgery, and finally the study of brain rehabilitation.

  8. Phineas Gage: The brain and the behavior

    Phineas Gage has long occupied a privileged position in the history of science. Few isolated cases have been as influential, in the neurological and neuroscientific thinking, and yet the documentation on which conclusions and interpretations rest are remarkably incomplete [1], [2]. We do have a number of sure facts:

  9. E.L., a modern-day Phineas Gage: Revisiting frontal lobe injury

    In this 9-year prospective longitudinal study (08/2012-2021), we collected data from the patient E.L., a modern-day Phineas Gage, who suffered from lesions, impacting 11% of his total brain mass, to his right PFC and supplementary motor area after his skull was transfixed by an iron rod.

  10. Phineas Gage: A Neuropsychological Perspective of a Historical Case Study

    The case of Phineas Gage is one of the most frequently cited cases from 19th century medical literature and represents the first of a series of famous cases involving the brain and behavior.

  11. Phineas Gage: Neuroscience's Most Famous Patient

    On September 13, as he was using a tamping iron to pack explosive powder into a hole, the powder detonated. The tamping iron—43 inches long, 1.25 inches in diameter and weighing 13.25 pounds—shot...

  12. Uncovering the Impact of Phineas Gage's Accident on Psychology

    October 1, 2023 by Leo Phineas Gage is a name that has become synonymous with studying psychology. His case has greatly interested researchers and students alike for years. Gage experienced a traumatic brain injury in 1848 when an iron rod was driven through his skull, destroying much of his frontal lobe.

  13. Mapping Connectivity Damage in the Case of Phineas Gage

    The case of Phineas Gage is among the most famous and infamous in the history of brain science. The interpretations of his incredible injury and attempts to characterize it have been ongoing since soon after it occurred. ... In as much as earlier examinations have focused exclusively on GM damage, the study of Phineas Gage's accident is also a ...

  14. Phineas Gage: The man with a hole in his head

    6 March 2011 A metre-long iron rod travelled through Phineas Gage's head, emerging out of the top of his skull By Claudia Hammond & Dave Lee BBC World Service "Phineas Gage had a hole in...

  15. Phineas Gage

    Phineas Gage (born July 1823, New Hampshire, U.S.—died May 1860, California) American railroad foreman known for having survived a traumatic brain injury caused by an iron rod that shot through his skull and obliterated the greater part of the left frontal lobe of his brain.

  16. The Case of Phineas Gage (1823

    The date written appears to be "August 24th, [18]54." Gage had been living in Chile since 1852. The message is from Gage; however, there is skepticism towards whether the handwriting is in fact Gage's or his cousin who delivered the note to the Warren Anatomical Museum.

  17. The Return of Phineas Gage: Clues About the Brain from the ...

    Abstract. When the landmark patient Phineas Gage died in 1861, no autopsy was performed, but his skull was later recovered. The brain lesion that caused the profound personality changes for which his case became famous has been presumed to have involved the left frontal region, but questions have been raised about the involvement of other ...

  18. Who Was Phineas Gage?

    On September 13, 1848, a 25-year-old railroad foreman named Phineas Gage was injured in a horrific accident. While using an iron rod to tamp explosive powder into a hole, the powder ignited and sent the 43-inch long rod hurtling upward.

  19. Six Landmark Case Reports Essential for Neuropsychiatric Literacy

    The case of Phineas Gage also added evidence for locali- ... skull for study by future scientists. FIGURE 1. Phineas Gage's Tamping Iron in Relation to His Skulla aThis illustration is in the public domain.1 280 neuro.psychiatryonline.org J Neuropsychiatry Clin Neurosci 30:4, Fall 2018

  20. E.L., a modern-day Phineas Gage: Revisiting frontal lobe injury

    In this 9-year prospective longitudinal study (08/2012-2021), we collected data from the patient E.L., a modern-day Phineas Gage, who suffered from lesions, impacting 11% of his total brain mass, to his right PFC and supplementary motor area after his skull was transfixed by an iron rod.

  21. Phineas Gage: a case study

    References:https://www.smithsonianmag.com/history/phineas-gage-neurosciences-most-famous-patient-11390067/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC111447...

  22. The Neuroscience of Behavior: Five Famous Cases

    Phineas Gage In 1848, John Harlow first described the case of a 25-year-old railroad foreman named Phineas Gage. Gage was a "temperate" man: hardworking, polite, and well-liked by all those around ...

  23. Mapping Connectivity Damage in the Case of Phineas Gage

    The case of Phineas Gage is among the most famous and infamous in the history of brain science. The interpretations of his incredible injury and attempts to characterize it have been ongoing since soon after it occurred. ... In as much as earlier examinations have focused exclusively on GM damage, the study of Phineas Gage's accident is also a ...

  24. 7 Ways to Support Executive Function in Your Classroom

    In 1848, Phineas Gage was working on a blast crew, preparing the bed of the Rutland & Burlington Railroad in Vermont. As he placed explosive gunpowder in a hole, it brushed against a 3-foot-long iron bar, causing an explosion and scattering high-velocity projectiles. ... including emotions and inhibitions," researchers explain in a 2020 study ...