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Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports
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 subconcus...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652195/ https://www.ncbi.nlm.nih.gov/pubmed/35867314 http://dx.doi.org/10.1007/s10439-022-02999-w |
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author | Ji, Songbai Ghajari, Mazdak Mao, Haojie Kraft, Reuben H. Hajiaghamemar, Marzieh Panzer, Matthew B. Willinger, Remy Gilchrist, Michael D. Kleiven, Svein Stitzel, Joel D. |
author_facet | Ji, Songbai Ghajari, Mazdak Mao, Haojie Kraft, Reuben H. Hajiaghamemar, Marzieh Panzer, Matthew B. Willinger, Remy Gilchrist, Michael D. Kleiven, Svein Stitzel, Joel D. |
author_sort | Ji, Songbai |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9652195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-96521952022-11-15 Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports Ji, Songbai Ghajari, Mazdak Mao, Haojie Kraft, Reuben H. Hajiaghamemar, Marzieh Panzer, Matthew B. Willinger, Remy Gilchrist, Michael D. Kleiven, Svein Stitzel, Joel D. Ann Biomed Eng Concussions 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. Springer International Publishing 2022-07-22 2022 /pmc/articles/PMC9652195/ /pubmed/35867314 http://dx.doi.org/10.1007/s10439-022-02999-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Concussions Ji, Songbai Ghajari, Mazdak Mao, Haojie Kraft, Reuben H. Hajiaghamemar, Marzieh Panzer, Matthew B. Willinger, Remy Gilchrist, Michael D. Kleiven, Svein Stitzel, Joel D. Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports |
title | Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports |
title_full | Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports |
title_fullStr | Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports |
title_full_unstemmed | Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports |
title_short | Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports |
title_sort | use of brain biomechanical models for monitoring impact exposure in contact sports |
topic | Concussions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652195/ https://www.ncbi.nlm.nih.gov/pubmed/35867314 http://dx.doi.org/10.1007/s10439-022-02999-w |
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