CV Science

Fabrice Wendling Signal Processing & Computational Modeling in Epilepsy

Course and current status

Position:

Position2008 - : INSERM Research Director (equiv. full professor. DR2: 2008; DR1: 2017).

1998 - 2008 : INSERM Research Scientist (“Chargé de recherche”)

1996 - 1998 : Assistant professor, University of Rennes 1

2012- : Head of the team SESAME: “Epileptogenic Systems: Signals and Models”, LTSI - Inserm U1099, Rennes, France

2004-2011: Head of the team EPIC: “Dynamics of neuronal systems in Epilepsy”, LTSI - Inserm U642, Rennes, France

Education

- Accreditation to supervise research, University of Rennes 1, Rennes, France (2003)

Title: “Analysis and modeling of EEG signals. Contribution to the study of the pathophysiology of human partial epilepsies”

- PhD (Signal processing and Telecommunication), University of Rennes 1, Rennes, France (1996)

- Master of Science (Bioengineering), Georgia Institute of Technology, Atlanta, USA (1991)

- Engineer diploma (Biomedical Eng.), University of Technology of Compiègne, Compiègne, France (1989)

Awards

2019 ERC. Coord-PI of the synergy project GALVANI (details here)

2018 Research Award of the Rennes 1 foundation (details here)

2012 Award of the French Academy of Science (“Prix Michel Monpetit”, for “outstanding

contribution to the processing and modeling of electrophysiological signals

in the context of epilepsy”)(details here)

2010-13 Awardee of an Inserm Contract for Translational Research

Scientific summary

Since 2004, I am leading a research team on the dynamics of neuronal systems in the context of epilepsy. I have been working in this field for almost 20 years in close collaboration with neurologists. My expertise relates to the analysis of brain signals and to the (patho)physiological modeling of neuronal systems. I have developed specific methods to analyze electrophysiological signals (scalp and intracerebral EEG, LFPs), recorded during interictal or ictal periods (among which the “epileptogenicity index”, Brain, 2008). I have also developed computational models of brain activity (at cellular, neural population and brain level, JNM 2015). Some of these models were specifically adapted to the cellular organization of brain structures predominantly involved in temporal lobe epilepsy (like the hippocampus and the entorhinal cortex, see http://www.scholarpedia.org/article/Models_of_epilepsy). They are used worldwide to interpret local field potentials recorded from the epileptic brain during interictal (spikes and fast ripples, Annals of Neurology 2012) and seizure periods. My intent is now to promote the combination of compuational and experiemental (in vivo & in vitro) approaches, both in a diagnostic and therapeutic prospective. To me, this approach can significantly improve our understanding of the mechanisms underlying the generation of epileptic events, both at chronic stage and during epileptogenesis (EJN 2012) and lead to novel therapeutic procedures, in particular based on electrical stimulation. I authored/co-authored about > 120 papers in peer-reviewed journals and 4 patents. Journals can be divided in two categories according to their scope, either “methodological” (IEEE TBME, IEEE TITB, Annals Biomed. Eng., PTRSA) or “clinical” (Brain, Clin. Neurophysiol., J. Neurophysiol., J. Physiol.).