Journal article
Taotao Wu, Fusako Sato, J. Antona-Makoshi, Lee F Gabler, J. S. Giudice, A. Alshareef, Masayuki Yaguchi, M. Masuda, S. Margulies, M. Panzer
Journal of biomechanical engineering, 2021
Journal of biomechanical engineering, 2021
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APA
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Wu, T., Sato, F., Antona-Makoshi, J., Gabler, L. F., Giudice, J. S., Alshareef, A., … Panzer, M. (2021). Integrating Human and Non-Human Primate Data to Estimate Human Tolerances for Traumatic Brain Injury. Journal of Biomechanical Engineering.
Chicago/Turabian
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Wu, Taotao, Fusako Sato, J. Antona-Makoshi, Lee F Gabler, J. S. Giudice, A. Alshareef, Masayuki Yaguchi, M. Masuda, S. Margulies, and M. Panzer. “Integrating Human and Non-Human Primate Data to Estimate Human Tolerances for Traumatic Brain Injury.” Journal of biomechanical engineering (2021).
MLA
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Wu, Taotao, et al. “Integrating Human and Non-Human Primate Data to Estimate Human Tolerances for Traumatic Brain Injury.” Journal of Biomechanical Engineering, 2021.
BibTeX Click to copy
@article{taotao2021a,
title = {Integrating Human and Non-Human Primate Data to Estimate Human Tolerances for Traumatic Brain Injury.},
year = {2021},
journal = {Journal of biomechanical engineering},
author = {Wu, Taotao and Sato, Fusako and Antona-Makoshi, J. and Gabler, Lee F and Giudice, J. S. and Alshareef, A. and Yaguchi, Masayuki and Masuda, M. and Margulies, S. and Panzer, M.}
}
Abstract
Traumatic brain injury (TBI) contributes to a significant portion of the injuries resulting from motor vehicle crashes, falls, and sports collisions. The development of advanced countermeasures to mitigate these injuries requires a complete understanding of the tolerance of the human brain to injury. In this study, we developed a new method to establish human injury tolerance levels using an integrated database of reconstructed football impacts, sub-injurious human volunteer data, and non-human primate data. The human tolerance levels were analyzed using tissue-level metrics determined using harmonized species-specific finite element brain models. Kinematics-based metrics involving complete characterization of angular motion (e.g., DAMAGE) showed better power of predicting tissue-level deformation in a variety of impact conditions and were subsequently used to characterize injury tolerance. The proposed human brain tolerances for mild and severe TBI were estimated and presented in the form of injury risk curves based on selected tissue-level and kinematics-based injury metrics. The application of the estimated injury tolerances was finally demonstrated using real-world automotive crash data.
