Predicting Neurological Effects Associated with Traumatic Brain Injuries Using Video Analysis and Finite Element Modeling

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.

Automated summary

This paper examines the impact of head collisions on concussions in football through video analysis, finite element simulation, and correlation of biomechanical and neuroimaging metrics. The study also proposes a method to improve the process of finite element modeling. By addressing areas for improvement in accident reconstruction and simulation, researchers can enhance the accuracy of head impact simulations and eventually use them for diagnostic purposes.