Predicting Concussion Outcome by Integrating Finite Element Modeling and Network Analysis
Erin D. Anderson, J. Sebastian Giudice, Taotao Wu, Matthew B. Panzer, David F. Meaney
Abstract
= 0.45). Despite this dissimilarity, we found that predicting concussion incidence was equally accurate when considering either areas of high strain or of high importance to global efficiency. Interestingly, accuracy for concussion prediction varied considerably across the 30 healthy connectomes. These results suggest that individual network structure is an important confounding variable in concussion prediction and that further investigation of its role may improve concussion prediction and lead to the development of more effective protective equipment.
Topics & Concepts
ConcussionComputer scienceTraumatic brain injuryPoison controlPhysical medicine and rehabilitationNeuroimagingPsychologyInjury preventionMedicineNeuroscienceMedical emergencyPsychiatryTraumatic Brain Injury ResearchAdvanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies