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Space and Temporal Distribution Analysis of Interictal Spike in Epilepsy

Stereo-electroencephalography (SEEG) is the main investigation method for pre-su rgical evaluation of patients suffering from drug-resistant partial epilepsy. SEEG si gnals reflect two types of paroxysmal ac tivity: ictal activity and interictal acti vity or interictal spikes (IS). The relationship between IS and ictal activity is an essential and recurrent question in epiletology. I n this paper, we present a distributed and parallel architecture for space and temporal distribution analysis of IS, based on a distributed a nd collaborative methodology. The proposed approach exploits the S EEG data using vector analysis of the corresponding signals amon g multi-agents system. The objective is to present a new method to analyze and classify IS during wakefulness (W), light sleep (L S) and deep sleep (DS) stages. Temporal and spatial relationships between IS and seizure onset zone are compared during wakefulnes s, light sleep and deep sleep. Resu lts show that space an d temporal distribution for real da ta are not random but correlated


Auteur(s) : Mamadou Lamine NDIAYE, Jean-Jacques MONTOIS, Abel KINIE and Papa Alioune Sarr NDIAYE:
Pages : 840-847
Année de publication : 2012
Revue : Journal of Life Sciences
N° de volume : 6 (2011)
Type : Article
Statut Editorial : Publié : August 2012
Mise en ligne par : NDIAYE Mamadou Lamine