Epileptogenic Network Visualization Using Advanced MRI in Drug-Resistant Epilepsy

What this Trial Is About

This research aims to improve the non-invasive identification of epileptogenic networks in patients with drug-resistant epilepsy. It compares the standard stereo-EEG method with advanced MRI techniques including resting-state functional MRI and microstructural analysis of white matter. The study focuses on the accuracy of identifying epileptogenic networks and how MRI sequences affect patient selection and target identification for surgery. Participants already selected for stereo-EEG will undergo an additional MRI session lasting about one hour, including 3D T1, resting-state fMRI, and multishell diffusion sequences. The MRI data will be processed to map epileptogenic networks and analyze connections between brain regions. Patients undergoing therapeutic epilepsy surgery will have a follow-up MRI three months after the operation to assess changes in these networks. During the study, participants will have MRI scans before and, if applicable, after surgery. Researchers will analyze MRI data with advanced algorithms to evaluate network identification, quantification, and regulation post-surgery. The main outcomes include network identification accuracy after about three years, prognosis one year after surgery, and the added value of radiological analysis in standard epilepsy evaluation approximately one year after phase three begins. Safety and feasibility will be monitored throughout the participation period.

Epileptogenic Network Visualisation With Advanced MRI