RESting-state Functional MRI for Prediction of Post-surgical Prognosis In Pediatric Drug-Resistant Epilepsy

Condition(s) studied

Study summary

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.

Eligibility

Primary outcome measure(s)

• Determine the prognostic value of topological parameters measured on local r-fMRI on the surgical success at one year of patients operated for drug-resistant epilepsy. — One year
  The variables measured with functional MRI will correspond to topological parameters of functional connectivity measured locally at the level of the lesion: the degree, the clustering coefficient and path length. Surgical success will be evaluated by a score of 1 on the modified Engel classification at one year after surgery.

Trial sites (1)

More Fondation Ophtalmologique Adolphe de Rothschild trials in France

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