Dresden 2017 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 63: Controlling Complex Networks in Nature and Engineering (Focus session, joint DY/SOE/BP)
DY 63.1: Hauptvortrag
Freitag, 24. März 2017, 09:30–10:00, ZEU 160
Influence of network topology on spreading of epileptic seizure — •Simona Olmi1, Spase Petkoski2, Fabrice Bartolomei2,3, Maxime Guye4, and Viktor Jirsa2 — 1Weierstrass Institute, Berlin, Germany — 2Aix-Marseille Univ, Inserm, Institut de Neurosciences des Systémes, Marseille, France — 3Assistance Publique, Hôpitaux de Marseille, Hôpital de la Timone, Service de Neurophysiologie Clinique, Marseille, France — 4Faculté de Médecine de la Timone, Centre de Résonance Magnétique et Biologique et Médicale, Medical School of Marseille, Aix-Marseille Université, Marseille, France
In partial epilepsy, seizures originate in a local network, the so-called epileptogenic zone, before recruiting other close or distant brain regions. Correctly delineating the epileptogenic and the propagation zone is essential for successful resective surgery. In particular the stereotaxic EEG (SEEG) is used to edge the zone to resect. However the propagation pathways of epileptic seizures are still largely unknown. Using a specific dynamical model for epilepsy [1], we then predict the recruitment network given the seizure origins and we try to understand the role played by the topology in constraining the recruitment process. The identification of the minimal number of connections that allows the seizure to propagate, via the application of linear stability analysis, and the choice of the optimal set of links to be cut in order to stop seizure propagation might reveal an approach to improve the success rate of epilepsy surgery. [1] Jirsa VK, Stacey WC, Quilichini PP, Ivanov AI, Bernard C (2014) 137:2210-2230.