Paul Ferrari

The paper develops a probabilistic model to identify epileptogenic networks using interictal SEEG data, achieving high classification accuracy with a reduced feature space.

This paper identifies mechanistic biomarkers for epileptogenicity using computational modeling and SEEG data, showing that combining biomarkers improves seizure zone localization and reveals extended pathological networks beyond the clinically identified seizure zone.