TBI is one of the most common causes of epilepsy. Brain imaging, specifically MRI and fMRI scans, after injury and before the onset of seizures, may contain information that can be used to create predictive models of epilepsy risk. In this research, we used structural and functional data from patients with TBI to determine if there was a relationship between the size and location of the TBI lesion and the likelihood of developing epilepsy. Specifically, my goal was to perform a functional connectivity analysis with fMRI data
using BOLD (Blood oxygenation level dependent) imaging to understand which neural pathways are the ones that are critical to preventing seizures. So far in this presentation, I will share the first few steps I have conducted including registration and manual segmentation, along with looking ahead to my next steps of functional connectivity analysis.