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

ABSTRACT: Concussion is a significant public health problem affecting 1.6-2.4 million Americans annually. An alternative to reducing the burden of concussion is to reduce its incidence with improved protective equipment and injury mitigation systems. Finite element (FE) models of the brain response to blunt trauma are often used to estimate injury potential and can lead to improved helmet designs. However, these models have yet to incorporate how the patterns of brain connectivity disruption after impact affects the relay of information in the injured brain. Furthermore, FE brain models typically do not consider the differences in individual brain structural connectivities and their purported role in concussion risk. Here, we use graph theory techniques to integrate brain deformations predicted from

SUBMITTER: Anderson ED 

PROVIDER: S-EPMC7174699 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature