Our team is developing a translational, multi-scale approach to studying the pathophysiology of epilepsy. This approach combines basic research and clinical observation, bringing together expertise ranging from the cellular to the patient level.

Our strategy aims to link the properties of synapses and neurons to large-scale brain dynamics. To achieve this, we combine high-precision in vivo recordings from epileptic patients and animal models with molecular, biochemical and transcriptomic analyses.

This integrated, multi-scale approach aims to answer several fundamental questions about the pathophysiology of focal and generalised epilepsy:

• epileptogenesis, i.e. the mechanisms that transform a healthy brain into an epileptic one,

• ictogenesis: determining how and why seizures are generated;

• semiology: establishing clear links between recorded neurophysiological activities and clinical manifestations observed in patients.

A specific area of research is devoted to studying extreme brain states presenting continuous abnormal electrical activity, ranging from the isoelectric state to status epilepticus and even death.

Main technique

In vitro electrophysiology: patch-clamp, multielectrode arrays (MEA)

In vivo electrophysiology: EEG, silicon probes, intracellular, intracerebral macro/microelectrodes (clinical)

Super-resolution imaging (PALM/STORM) - Spatial transcriptomics Immunohistochemistry/immunocytochemistry - Biochemistry - Signal processing and analysis, seizure prediction (AI)

Address :
Hôpital Pitié-Salpêtrière 47 bd de l’Hôpital 75013 Paris

Team leader :
PONCER Jean-Christophe
Name of co-team leader :
NAVARRO Vincent
Administrative Contact Name :


Website : Cliquez ici
Key words : #Épilepsie, #électrophysiologie# modèles animaux# patch-clamp# tissus humains# recherche clinique# intelligence artificielle#prédiction des crises#synapse#réseaux neuronaux"transporteurs,#chlorure"GABA" canaux ioniques #Epilepsy,# electrophysiology", animal models#, patch-clamp#, human tissue#, clinical research#, artificial intelligence#, seizure prediction#, synapse#, neural networks#, transporters#, chloride#, GABA# ion channels