Dynamics of similarity of brain cortical areas revealed from MEG data with seizures using mutual information function
Daria А. Lachinova,1 Gilles van Luijtelaar,2 Pauly Ossenblok,3 Ilya V. Sysoev,1 1 Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, Russia 2 Centre of Cognition, Radboud University Nijmegen, Nijmegen, The Netherlands 3 Stichting Epilepsy Instellingen Nederland, Zwolle, The Netherlands
Abstract
Epilepsy is a serious and fairly widespread neurological disease — according to the classification of the International League against Epilepsy (ILAE). Epilepsy as a network phenomenon suggests that the mechanisms responsible for the discharge occurrence are mostly result of interactions between neurons of different types, which form a pathological neural circuit, with this circuit being unique for each individual. Modern concepts for medicine personalization for diagnostics and treatment require understanding how much results obtained when studying animals match the human epileptogenesis. The purpose of the current study is to determine the evolution of non-directional connectivity underlying the spike-and-wave discharges (SWDS) of patient with child-hood absence epilepsy (CAE) recorded with MEG.
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Speaker
Lachinova Daria Andreevna
Institute of Higher Nervous Activity and Neurophysiology of RAS
Russia, Moscow
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