Abstract
Over 1.4 million people in the United States experience traumatic brain injury (TBI) each year and approximately 52,000 people die annually due to complications related to TBI. Traditionally, TBI has been viewed as a static injury with significant consequences for frontal lobe functioning that plateaus after some window of recovery, remaining relatively stable thereafter. However, over the past decade there has been growing consensus that the consequences of TBI are dynamic, with unique characteristics expressed at the individual level and over the life span. This chapter first discusses the pathophysiology of TBI in order to understand its dynamic process and then describes the behavioral changes that are the result of injury with focus on frontal lobe functions. It integrates a historical perspective on structural and functional brain-imaging approaches used to understand how TBI impacts the frontal lobes, as well as more recent approaches to examine large-scale network changes after TBI. The factors most useful for outcome prediction are surveyed, along with how the theoretical frameworks used to predict recovery have developed over time. In this chapter, the authors argue for the need to understand outcome after TBI as a dynamic process with individual trajectories, taking a network theory perspective to understand the consequences of disrupting frontal systems in TBI. Within this framework, understanding frontal lobe dysfunction within a larger coordinated neural network to study TBI may provide a novel perspective in outcome prediction and in developing individualized treatments.
| Original language | English (US) |
|---|---|
| Title of host publication | Handbook of Clinical Neurology |
| Publisher | Elsevier B.V. |
| Pages | 411-431 |
| Number of pages | 21 |
| DOIs | |
| State | Published - 2019 |
Publication series
| Name | Handbook of Clinical Neurology |
|---|---|
| Volume | 163 |
| ISSN (Print) | 0072-9752 |
| ISSN (Electronic) | 2212-4152 |
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All Science Journal Classification (ASJC) codes
- Neurology
- Clinical Neurology
Cite this
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Traumatic brain injury and frontal lobe plasticity. / Bernier, Rachel A.; Hillary, Frank G.
Handbook of Clinical Neurology. Elsevier B.V., 2019. p. 411-431 (Handbook of Clinical Neurology; Vol. 163).Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - Traumatic brain injury and frontal lobe plasticity
AU - Bernier, Rachel A.
AU - Hillary, Frank G.
PY - 2019
Y1 - 2019
N2 - Over 1.4 million people in the United States experience traumatic brain injury (TBI) each year and approximately 52,000 people die annually due to complications related to TBI. Traditionally, TBI has been viewed as a static injury with significant consequences for frontal lobe functioning that plateaus after some window of recovery, remaining relatively stable thereafter. However, over the past decade there has been growing consensus that the consequences of TBI are dynamic, with unique characteristics expressed at the individual level and over the life span. This chapter first discusses the pathophysiology of TBI in order to understand its dynamic process and then describes the behavioral changes that are the result of injury with focus on frontal lobe functions. It integrates a historical perspective on structural and functional brain-imaging approaches used to understand how TBI impacts the frontal lobes, as well as more recent approaches to examine large-scale network changes after TBI. The factors most useful for outcome prediction are surveyed, along with how the theoretical frameworks used to predict recovery have developed over time. In this chapter, the authors argue for the need to understand outcome after TBI as a dynamic process with individual trajectories, taking a network theory perspective to understand the consequences of disrupting frontal systems in TBI. Within this framework, understanding frontal lobe dysfunction within a larger coordinated neural network to study TBI may provide a novel perspective in outcome prediction and in developing individualized treatments.
AB - Over 1.4 million people in the United States experience traumatic brain injury (TBI) each year and approximately 52,000 people die annually due to complications related to TBI. Traditionally, TBI has been viewed as a static injury with significant consequences for frontal lobe functioning that plateaus after some window of recovery, remaining relatively stable thereafter. However, over the past decade there has been growing consensus that the consequences of TBI are dynamic, with unique characteristics expressed at the individual level and over the life span. This chapter first discusses the pathophysiology of TBI in order to understand its dynamic process and then describes the behavioral changes that are the result of injury with focus on frontal lobe functions. It integrates a historical perspective on structural and functional brain-imaging approaches used to understand how TBI impacts the frontal lobes, as well as more recent approaches to examine large-scale network changes after TBI. The factors most useful for outcome prediction are surveyed, along with how the theoretical frameworks used to predict recovery have developed over time. In this chapter, the authors argue for the need to understand outcome after TBI as a dynamic process with individual trajectories, taking a network theory perspective to understand the consequences of disrupting frontal systems in TBI. Within this framework, understanding frontal lobe dysfunction within a larger coordinated neural network to study TBI may provide a novel perspective in outcome prediction and in developing individualized treatments.
UR - http://www.scopus.com/inward/record.url?scp=85072809548&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072809548&partnerID=8YFLogxK
U2 - 10.1016/B978-0-12-804281-6.00022-7
DO - 10.1016/B978-0-12-804281-6.00022-7
M3 - Chapter
C2 - 31590744
AN - SCOPUS:85072809548
T3 - Handbook of Clinical Neurology
SP - 411
EP - 431
BT - Handbook of Clinical Neurology
PB - Elsevier B.V.
ER -