Background and aim
Traumatic brain injury (TBI) is one of the leading causes of morbidity and mortality worldwide. It leads to long-term consequences with poor quality of life as the occurrence of post-traumatic epilepsy (PTE), which unfortunately still does not have a therapeutic option. This research aims to construct predictive models for post-traumatic epilepsy (PTE) by conducting a comprehensive investigation into various multifaceted  approaches analyzing inflammatory cytokines, acquired immune biomarkers, neuro-imaging, and EEG data.

Methods
This will be a nested study from the main database of the DESTINE Study. Patients from the DESTINE study were TBI patients recruited prospectively at Makerere University, Uganda. In this study, they will be re-contacted after 2 years for another blood sampling, a new Brain MRI imaging, and an EEG recording. Quasi-convenience sampling methods matching 1 TBI patient with PTE with 3 TBI patients without PTE will be done. Advanced descriptive and inferential analysis using R software with these diverse clinical and biological variables to elucidate associations between immune responses, identify potential predictors for late PTE, and determine patterns in neuro-imaging and
EEG patterns.

Expected results
The integration of these findings will contribute to the development of robust predictive models, enhancing our understanding of PTE