300,000 individuals sustain sports concussions each year in the U.S. The majority of at-risk athletes are at the high school level. High school football players represent a particularly high-risk group, accounting for about two-thirds of all concussions in high school athletes. The short- and long-term effects of sports concussions and perhaps more importantly repetitive sub-concussive impacts are not known, nor are the cumulative effects of repeated injuries understood. There is enormous variability in outcome, although the reasons for this variability are not understood. We propose to use technological advances in on-field head impact monitoring, cognitive testing, and functional brain imaging to learn for the first time what types of head impacts, under what circumstances, in which individuals, cause what effects in brain function. This proposal will help to determine the short and long term effects of repetitive biomechanical force exposure on the developing adolescent brain, provide important information on the biomechanics of sports-related traumatic brain injury, and lead to more informed return-to-play guidelines. ? ? The overarching theme of this proposal is that a youth's exposure to biomechanical forces is a critical factor influencing cognitive outcome. This has two broad components: the characteristics of a single impact (e.g. linear acceleration, rotational acceleration, direction etc.), and the history of exposure to biomechanical forces over time (e.g. measures of frequency and intensity of impacts over the preceding days and weeks). We propose to use technological advances in on-field head impact monitoring, cognitive testing, and functional brain imaging to learn for the first time what types of head impacts, under what circumstances, in which individuals, cause what effects in brain function. Exposure to biomechanical forces acutely (post-concussive), sub-acutely (pre- to one-month post-season), and cumulatively (exposure over multiple seasons of play) are of interest and will be monitored. Two groups of high school student athletes (football players and non-impact sport athletes) will be studied at three time points (preseason, after a single season of play, and after multiple seasons of play) using a standardized cognitive battery and functional MRI (fMRI). A subgroup of students who sustain concussion, and matched controls from their team and from the non-impact athlete group will also be studied within one week of the concussion. Impact parameters will be directly measured using helmet-based accelerometer units. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Center for Injury Prevention and Control (NCIPC)
Type
Research Project (R01)
Project #
1R01CE001254-01
Application #
7364026
Study Section
Special Emphasis Panel (ZCE1-JXS (06))
Program Officer
Smutz, Paul
Project Start
2007-09-01
Project End
2010-08-31
Budget Start
2007-09-01
Budget End
2008-08-31
Support Year
1
Fiscal Year
2007
Total Cost
$299,957
Indirect Cost
Name
Dartmouth College
Department
Psychiatry
Type
Schools of Medicine
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Beckwith, Jonathan G; Zhao, Wei; Ji, Songbai et al. (2018) Estimated Brain Tissue Response Following Impacts Associated With and Without Diagnosed Concussion. Ann Biomed Eng 46:819-830
Ji, Songbai; Zhao, Wei; Ford, James C et al. (2015) Group-wise evaluation and comparison of white matter fiber strain and maximum principal strain in sports-related concussion. J Neurotrauma 32:441-54
McAllister, Thomas W (2015) Genetic factors in traumatic brain injury. Handb Clin Neurol 128:723-39
Rowson, Steven; Duma, Stefan M; Greenwald, Richard M et al. (2014) Can helmet design reduce the risk of concussion in football? J Neurosurg 120:919-22
Beckwith, Jonathan G; Greenwald, Richard M; Chu, Jeffrey J et al. (2013) Timing of concussion diagnosis is related to head impact exposure prior to injury. Med Sci Sports Exerc 45:747-54
Beckwith, Jonathan G; Greenwald, Richard M; Chu, Jeffrey J et al. (2013) Head impact exposure sustained by football players on days of diagnosed concussion. Med Sci Sports Exerc 45:737-46
McAllister, Thomas W; Ford, James C; Ji, Songbai et al. (2012) Maximum principal strain and strain rate associated with concussion diagnosis correlates with changes in corpus callosum white matter indices. Ann Biomed Eng 40:127-40
McAllister, Thomas W (2011) Neurobiological consequences of traumatic brain injury. Dialogues Clin Neurosci 13:287-300
McAllister, Thomas W; Stein, Murray B (2010) Effects of psychological and biomechanical trauma on brain and behavior. Ann N Y Acad Sci 1208:46-57
McAllister, Thomas W (2010) Genetic factors modulating outcome after neurotrauma. PM R 2:S241-52