Recorded 02 September 2022. Sarah Muldoon of SUNY Buffalo presents "Characterizing differences in structural network changes resulting from traumatic brain injury" at IPAM's Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond. Abstract: Traumatic brain injury (TBI) damages white matter tracts and changes brain connectivity, but how specific changes relate to differences in clinical/behavioral outcomes is not known. Here, I’ll present recent work classifying different patterns of change in brain network structure after injury in a rat model of TBI. We find that local changes in motif coherence can be used to define subgroups within injured rats that display different patterns of injury induced change. Further, computational modeling of brain dynamics suggests that these different underlying brain networks could be related to the observed heterogeneity in clinical outcomes such as the propensity to develop epilepsy. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/reconstructing-network-dynamics-from-data-applications-to-neuroscience-and-beyond/?tab=overview