For about 30% of the patients suffering from focal epilepsy, pharmacological treatments appear to be inefficient and we need to  resort  to surgery. The procedure consists in first localizing the epileptogenic zone via a comprehensive examination which takes into account neurological examination, fMRI, EEG, SEEG or MEG. Afterwards, we proceed to the excision provided it will not have a major impact on the patient’s life. Surgery is efficient for only a quarter of drug-resistant patients. It is therefore essential to bring fresh insights into  the seizures pathophysiology in order to open the way to novel localization paradigms which would increase the surgery success rate and potentially lead to novel treatments.

The purpose of the ANR JCJC SEPICOT project is to develop and analyze patient-specific dynamical models of the epileptic network which reproduce realistic  intracranial EEG activities for patients suffering from the most frequent intractable epilepsies: lobe temporal epilepsies. The model will be used to validate  neurophysiological assumptions on the seizure-causing factors and might cast new lights on the localization problem of the (potential) seizure on-set zones. The novelty of our approach relies on the use of control theory. We want to apply and develop novel methods from emerging control fields such as hybrid  estimation, networked systems synchronization, as well as innovative source localization and reconstruction techniques that will attract the  attention of the control and signal processing communities respectively. 

This interdisciplinary project is carried out in the ESPaCE team of the Centre de Recherche en Automatique de Nancy, UMR CNRS 7039, Université de Lorraine (Nancy - France) from October 2012 to September 2016. It involves control and signal processing researchers as well as neuroscientists and neurologists.