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Estimated Brain Tissue Response Following Impacts Associated With and Without Diagnosed Concussion.

Authors :
Beckwith JG
Zhao W
Ji S
Ajamil AG
Bolander RP
Chu JJ
McAllister TW
Crisco JJ
Duma SM
Rowson S
Broglio SP
Guskiewicz KM
Mihalik JP
Anderson S
Schnebel B
Gunnar Brolinson P
Collins MW
Greenwald RM
Source :
Annals of biomedical engineering [Ann Biomed Eng] 2018 Jun; Vol. 46 (6), pp. 819-830. Date of Electronic Publication: 2018 Feb 22.
Publication Year :
2018

Abstract

Kinematic measurements of head impacts are sensitive to sports concussion, but not highly specific. One potential reason is these measures reflect input conditions only and may have varying degrees of correlation to regional brain tissue deformation. In this study, previously reported head impact data recorded in the field from high school and collegiate football players were analyzed using two finite element head models (FEHM). Forty-five impacts associated with immediately diagnosed concussion were simulated along with 532 control impacts without identified concussion obtained from the same players. For each simulation, intracranial response measures (max principal strain, strain rate, von Mises stress, and pressure) were obtained for the whole brain and within four regions of interest (ROI; cerebrum, cerebellum, brain stem, corpus callosum). All response measures were sensitive to diagnosed concussion; however, large inter-athlete variability was observed and sensitivity strength depended on measure, ROI, and FEHM. Interestingly, peak linear acceleration was more sensitive to diagnosed concussion than all intracranial response measures except pressure. These findings suggest FEHM may provide unique and potentially important information on brain injury mechanisms, but estimations of concussion risk based on individual intracranial response measures evaluated in this study did not improve upon those derived from input kinematics alone.

Details

Language :
English
ISSN :
1573-9686
Volume :
46
Issue :
6
Database :
MEDLINE
Journal :
Annals of biomedical engineering
Publication Type :
Academic Journal
Accession number :
29470745
Full Text :
https://doi.org/10.1007/s10439-018-1999-5