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RECRUITINGINTERVENTIONAL

Epileptogenic Network Visualisation With Advanced MRI

Important: This information is not medical advice. Talk to your doctor about whether a clinical trial is right for you.

About This Trial

The goal of this clinical trial is to improve non-invasive identification of epileptogenic networks in drug-resistant epileptic patient. The investigators aim to compare epileptogenic network identification with stereo-EEG (used as glod standard) with the identification of the same network using advanced MRI (rs-fMRI, microstructural analysis of white matter, ...). The main goals are to: 1. Compare the accuracy of network identification. 2. Analyse the effect of the MRI sequences on candidates selection and target identification. Participants will already have been selected for stereoEEG and will undergo a supplementary MRI (about 1h) with the additional MRI sequences. Follow-up MRI are scheduled for patient undergoing a second, therapeutic epileptic surgery.

Who May Be Eligible (Plain English)

Who May Qualify: - Patient suffering from drug-resistant epilepsy - Patient already selected for SEEG implantation as part of their epileptic networks Who Should NOT Join This Trial: - Patient excluded from SEEG (pregnant women, children too young for the procedure, patient unable to undergo the procedure) - Contra-indication for MRI Always talk to your doctor about whether this trial is right for you.

Original Eligibility Criteria

View original clinical language
Inclusion Criteria: * Patient suffering from drug-resistant epilepsy * Patient already selected for SEEG implantation as part of their epileptic networks Exclusion Criteria: * Patient excluded from SEEG (pregnant women, children too young for the procedure, patient unable to undergo the procedure) * Contra-indication for MRI

Treatments Being Tested

DEVICE

Advanced MRI

resting-state functional MRI, diffusion with advanced post-processing (microstructure analysis), myelin mapping

Locations (1)

Cliniques Universitaires St-Luc
Brussels, Belgium