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 changes 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.