Literature DB >> 35867314

Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports.

Songbai Ji1, Mazdak Ghajari2, Haojie Mao3, Reuben H Kraft4, Marzieh Hajiaghamemar5, Matthew B Panzer6, Remy Willinger7, Michael D Gilchrist8, Svein Kleiven9, Joel D Stitzel10.   

Abstract

Head acceleration measurement sensors are now widely deployed in the field to monitor head kinematic exposure in contact sports. The wealth of impact kinematics data provides valuable, yet challenging, opportunities to study the biomechanical basis of mild traumatic brain injury (mTBI) and subconcussive kinematic exposure. Head impact kinematics are translated into brain mechanical responses through physics-based computational simulations using validated brain models to study the mechanisms of injury. First, this article reviews representative legacy and contemporary brain biomechanical models primarily used for blunt impact simulation. Then, it summarizes perspectives regarding the development and validation of these models, and discusses how simulation results can be interpreted to facilitate injury risk assessment and head acceleration exposure monitoring in the context of contact sports. Recommendations and consensus statements are presented on the use of validated brain models in conjunction with kinematic sensor data to understand the biomechanics of mTBI and subconcussion. Mainly, there is general consensus that validated brain models have strong potential to improve injury prediction and interpretation of subconcussive kinematic exposure over global head kinematics alone. Nevertheless, a major roadblock to this capability is the lack of sufficient data encompassing different sports, sex, age and other factors. The authors recommend further integration of sensor data and simulations with modern data science techniques to generate large datasets of exposures and predicted brain responses along with associated clinical findings. These efforts are anticipated to help better understand the biomechanical basis of mTBI and improve the effectiveness in monitoring kinematic exposure in contact sports for risk and injury mitigation purposes.
© 2022. The Author(s).

Entities:  

Keywords:  Brain biomechanics; Concussion; Finite element model; Impact kinematics; Instrumentation; Subconcussion

Year:  2022        PMID: 35867314     DOI: 10.1007/s10439-022-02999-w

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   4.219


  94 in total

1.  Human Brain Modeling with Its Anatomical Structure and Realistic Material Properties for Brain Injury Prediction.

Authors:  Noritoshi Atsumi; Yuko Nakahira; Eiichi Tanaka; Masami Iwamoto
Journal:  Ann Biomed Eng       Date:  2018-02-05       Impact factor: 3.934

Review 2.  Fifty years of brain tissue mechanical testing: from in vitro to in vivo investigations.

Authors:  Simon Chatelin; André Constantinesco; Rémy Willinger
Journal:  Biorheology       Date:  2010       Impact factor: 1.875

3.  A Novel Method for Quantifying Human In Situ Whole Brain Deformation under Rotational Loading Using Sonomicrometry.

Authors:  Ahmed Alshareef; J Sebastian Giudice; Jason Forman; Robert S Salzar; Matthew B Panzer
Journal:  J Neurotrauma       Date:  2018-01-29       Impact factor: 5.269

4.  Abnormal white matter integrity related to head impact exposure in a season of high school varsity football.

Authors:  Elizabeth M Davenport; Christopher T Whitlow; Jillian E Urban; Mark A Espeland; Youngkyoo Jung; Daryl A Rosenbaum; Gerard A Gioia; Alexander K Powers; Joel D Stitzel; Joseph A Maldjian
Journal:  J Neurotrauma       Date:  2014-07-14       Impact factor: 5.269

5.  Multi-scale mechanics of traumatic brain injury: predicting axonal strains from head loads.

Authors:  R J H Cloots; J A W van Dommelen; S Kleiven; M G D Geers
Journal:  Biomech Model Mechanobiol       Date:  2012-03-21

6.  Computation of axonal elongation in head trauma finite element simulation.

Authors:  Simon Chatelin; Caroline Deck; Félix Renard; Stéphane Kremer; Christian Heinrich; Jean-Paul Armspach; Rémy Willinger
Journal:  J Mech Behav Biomed Mater       Date:  2011-06-23

Review 7.  Changes in the structural complexity of the aged brain.

Authors:  Dara L Dickstein; Doron Kabaso; Anne B Rocher; Jennifer I Luebke; Susan L Wearne; Patrick R Hof
Journal:  Aging Cell       Date:  2007-04-26       Impact factor: 9.304

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

Authors:  Jonathan G Beckwith; Wei Zhao; Songbai Ji; Amaris G Ajamil; Richard P Bolander; Jeffrey J Chu; Thomas W McAllister; Joseph J Crisco; Stefan M Duma; Steven Rowson; Steven P Broglio; Kevin M Guskiewicz; Jason P Mihalik; Scott Anderson; Brock Schnebel; P Gunnar Brolinson; Michael W Collins; Richard M Greenwald
Journal:  Ann Biomed Eng       Date:  2018-02-22       Impact factor: 3.934

9.  Concussion classification via deep learning using whole-brain white matter fiber strains.

Authors:  Yunliang Cai; Shaoju Wu; Wei Zhao; Zhigang Li; Zheyang Wu; Songbai Ji
Journal:  PLoS One       Date:  2018-05-24       Impact factor: 3.240

10.  Predicting Concussion Outcome by Integrating Finite Element Modeling and Network Analysis.

Authors:  Erin D Anderson; J Sebastian Giudice; Taotao Wu; Matthew B Panzer; David F Meaney
Journal:  Front Bioeng Biotechnol       Date:  2020-04-15
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