Nicolas Roehri

Nicolas Roehri

Function: Maître-Assistant

Group name: Electrophysiological Signal Processing for Epilepsy Research

Group type: Affiliated

Affiliations: Department of Clinical Neurosciences

Domains: Development and Plasticity

Research activities

Our research focuses on the development and application of advanced signal processing methods for the analysis of human electrophysiological recordings, whether invasive (iEEG) or non-invasive (EEG and MEG), specifically in the context of epilepsy.

Brain Connectivity: Epilepsy is a brain network disease and brain connectivity appears to be an idea tool to characterise epileptic brains. Non-invasively derived brain connectivity metrics need to be validated with a gold standard. Our aim is to take advantage of the rare simultaneous hd-EEG-iEEG recordings to validate them.

Postsurgical Outcome Prediction: By combining connectivity/network analysis and clinical data, we aim to develop a machine learning algorithm, coupled to a clinical report, to predict which patients might benefit from resective surgery.

Funding: FNS Ambizione

Latest publications

See the complete list of the publications


Département de Neurosciences cliniques