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.
Latest publications
The challenge of assessing invasive biomarkers for epilepsy surgery.
Simultaneous invasive and non-invasive recordings in humans: A novel Rosetta stone for deciphering brain activity.
High-density electroencephalographic functional networks in genetic generalized epilepsy: Preserved whole-brain topology hides local reorganization.
Asymmetry of sleep electrophysiological markers in patients with focal epilepsy.
Contact
Département de Neurosciences cliniques
HUG
Email: nicolas.roehri@unige.ch