RESting-state Functional MRI for Prediction of Post-surgical Prognosis In Pediatric Drug-Resistant Epilepsy
Resting-state functional MRI (r-fMRI) has emerged in recent years to analyze resting networks. It allows, without active participation of the patients, to identify and analyze the different functional brain networks. The analysis of r-fMRI can be done thanks to the graph theory, which is based on the based on the calculation of quantifiable parameters applied to the functional network studied, making it possible to assess its effectiveness. To the knowledge of the investigators, no study has used graph theory applied to r-fMRI data in order to obtain parameters useful for the useful parameters for the individual prognosis of children who have to be operation for drug-resistant lesional epilepsy.
• Patient aged between 6 and 18 years
• Receiving an MRI for lesional drug-resistant epilepsy
• Affiliated or beneficiary of a social security plan
• Whose parents or guardians have received information about the study and have given their express consent to participate in the study