Abstract
The topic of concussion has become controversial due to the recent discoveries of long-term neurodegenerative diseases in former football players related to concussions they sustained earlier in life. In order to prevent concussion, the mechanism of concussive head impacts in football must be understood. However, studying concussion is difficult because of the ethical issues related to studies involving living subjects. Finite element simulations enable researchers to study the relation between predicted injury in the brain and head impact mechanics as surrogates to live subjects. To improve the accuracy of these simulations, this paper developed a methodology to cyclically analyze and improve the process of finite element modelling of head impacts. Case studies of two college football players were analyzed through the following steps: video analysis of representative concussive hits to elucidate head impact mechanics, finite element simulation of head impact to garner biomechanical metrics in the brain, and correlation of biomechanical metrics with neuroimaging metrics. A relationship was found between these metrics while areas of improvement within the accident reconstruction and finite element simulation process were also found. Through acknowledging areas of further work, researchers can continue to develop the process of head impact simulations to eventually use this tool for diagnostic purposes.
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References
Delaney, J.S., Puni, V., Rouah, F.: Mechanisms of injury for concussions in university football, ice hockey, and soccer: a pilot study. Clin. J. Sport Med. 16(2), 162–165 (2006)
Cubon, V.A., Murugavel, M., Holmes, K.W., Dettwiler, A.: Preliminary evidence from a prospective DTI study suggests a posterior-to-anterior pattern of recovery in college athletes with sports-related concussion. Brain Behav. 8(12), e01165 (2018). https://doi.org/10.1002/brb3.1165
Post, A., et al.: Analysis of speed accuracy using video analysis software. Sports Eng. 21(3), 235–241 (2018). https://doi.org/10.1007/s12283-018-0263-4
Horgan, T.J., Gilchrist, M.D.: The creation of three-dimensional finite element models for simulating head impact biomechanics. Int. J. Crashworthiness 8(4), 353–366 (2003). https://doi.org/10.1533/ijcr.2003.0243
Dettwiler, A., et al.: Persistent differences in patterns of brain activation after sports-related concussion: a longitudinal functional magnetic resonance imaging study. J. Neurotrauma 31(2), 180–188 (2013). https://doi.org/10.1089/neu.2013.2983
Meier, T.B., et al.: Prospective study of the effects of sport-related concussion on serum kynurenine pathway metabolites. Brain Behav. Immun. 87, 715–724 (2020). https://doi.org/10.1016/j.bbi.2020.03.002
Post, A., et al.: The biomechanics of concussion for ice hockey head impact events. Comput. Methods Biomech. Biomed. Engin. 22(6), 631–643 (2019). https://doi.org/10.1080/10255842.2019.1577827
Clark, J.: In-depth Analysis and Reconstruction of Equestrian Jockey Accidents and their Helmets, PhD thesis, University College Dublin (2019)
Acot, B.: Predicting neurological effects associated with traumatic brain injuries using video analysis and finite element modeling (2021). http://arks.princeton.edu/ark:/88435/dsp019g54xm76j
Clark, J., et al.: Proposed injury thresholds for concussion in equestrian sports. J. Sci. Med. Sport 23(3), 222–236 (2020). https://doi.org/10.1016/j.sams.2019.10.006
Kinovea. https://www.kinovea.org/. Accessed 02 Oct 2020
Abaqus Unified FEA - SIMULIATM by Dassault Systèmes®. https://www.3ds.com/products-services/simulia/products/abaqus/. Accessed 05 Apr 2021
Horgan, T.J., Gilchrist, M.D.: Influence of FE model variability in predicting brain motion and intracranial pressure changes in head impact simulations. Int. J. Crashworthiness 9(4), 401–418 (2004). https://doi.org/10.1533/ijcr.2004.0299
Trotta, A., et al.: Biofidelic finite element modelling of brain trauma: Importance of the scalp in simulating head impact. Int. J. Mech. Sci. 173, 105448 (May 2020). https://doi.org/10.1016/j.ijmecsci.2020.105448
Doorly, M.C., Gilchrist, M.D.: The use of accident reconstruction for the analysis of traumatic brain injury due to head impacts arising from falls. Comput. Methods Biomech. Biomed. Eng. 9(6), 371–377 (2006). https://doi.org/10.1080/10255840601003551
Rhino - Rhinoceros 3D. https://www.rhino3d.com/. Accessed 05 Apr 2021
Darling, T., Muthuswamy, J., Rajan, S.D.: Finite element modeling of human brain response to football helmet impacts. Comput. Methods Biomech. Biomed. Engin. 19(13), 1432–1442 (2016). https://doi.org/10.1080/10255842.2016.1149574
Borland, R.: Computer Simulation of Protected and Unprotected Sports Related Head Impacts, ME in Biomedical Engineering, University College Dublin, Dublin, Ireland (2020)
Post, A., et al.: A preliminary examination of the relationship between biomechanical measures and structural changes in the brain. Trauma 23(1), 24–32 (2021). https://doi.org/10.1177/1460408620916578
FSL - FslWiki. https://fsl.fmrib.ox.ac.uk/fsl/fslwiki. Accessed 07 Apr 2021
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Acot, B., Glisic, B., Dettwiler, A., Gilchrist, M.D. (2023). Predicting Neurological Effects Associated with Traumatic Brain Injuries Using Video Analysis and Finite Element Modeling. In: Tavares, J.M.R.S., Bourauel, C., Geris, L., Vander Slote, J. (eds) Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II. CMBBE 2021. Lecture Notes in Computational Vision and Biomechanics, vol 38. Springer, Cham. https://doi.org/10.1007/978-3-031-10015-4_8
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