Explore a comprehensive lecture on the structural network changes resulting from traumatic brain injury (TBI) and their potential impact on clinical outcomes. Delve into Sarah Muldoon's research using a rat model of TBI to classify different patterns of brain network alterations post-injury. Discover how local changes in motif coherence can be used to define subgroups within injured subjects, displaying varying patterns of injury-induced change. Examine the potential relationship between these underlying brain network changes and the observed heterogeneity in clinical outcomes, such as the propensity to develop epilepsy. Learn about various aspects of TBI research, including post-traumatic epilepsy, variable injury severity, subnetwork analysis using Network Based Statistic (NBS), local level analysis through motifs, and the prediction of functional connectivity. Gain insights into the construction of brain networks and the computational modeling of brain dynamics to better understand the complex relationship between structural changes and clinical outcomes in TBI cases. Read more