Individualized mouse brain network models produce asymmetric patterns of functional connectivity after simulated traumatic injury.

ABSTRACT: The functional and cognitive effects of traumatic brain injury (TBI) are poorly understood, as even mild injuries (concussion) can lead to long-lasting, untreatable symptoms. Simplified brain dynamics models may help researchers better understand the relationship between brain injury patterns and functional outcomes. Properly developed, these computational models provide an approach to investigate the effects of both computational and in vivo injury on simulated dynamics and cognitive function, respectively, for model organisms. In this study, we apply the Kuramoto model and an existing mesoscale mouse brain structural network to develop a simplified computational model of mouse brain dynamics. We explore how to optimize our initial model to predict existing mouse brain functional connecti

SUBMITTER: Rayfield AC 

PROVIDER: S-EPMC11949614 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature