Berlin 2018 – wissenschaftliches Programm
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 19: Chimera states: symmetry-breaking in dynamical networks (joint session DY/SOE)
SOE 19.7: Vortrag
Donnerstag, 15. März 2018, 11:45–12:00, BH-N 128
Chimera states in brain networks: empirical neural vs. modular fractal connectivity — •Teresa Chouzouris1, Iryna Omelchenko1, Anna Zakharova1, Jaroslav Hlinka2,3, Premysl Jiruska4, and Eckehard Schöll1 — 1Institut für Theoretische Physik, Technische Universität Berlin, Hardenbergstraße 36, 10623 Berlin, Germany — 2Institute of Computer Science, Czech Academy of Sciences, Pod Vodarenskou vezi 2, 18207 Prague, Czech Republic — 3National Institute of Mental Health, Topolova 748, 250 67 Klecany, Czech Republic — 4Institute of Physiology, Czech Academy of Sciences, Videnska 1083, 14220 Prague, Czech Republic
The interplay of synchrony and asynchrony in complex brain networks is an important aspect in studies of both brain function and disease. Motivated by its potential application to epileptology, we analyse and compare the collective dynamics of FitzHugh-Nagumo neurons in complex networks with two topologies: an empirical structural neural connectivity derived from diffusion-weighted magnetic resonance imaging and a mathematically constructed network with modular fractal connectivity [1]. We qualitatively simulate the dynamics of epileptic seizures and study the influence of the removal of nodes on the network synchronizability, which can be useful for applications to epileptic surgery.
[1] T.Chouzouris, I. Omelchenko, A. Zakharova, J. Hlinka, P. Jiruska, and E. Schöll, Chimera states in brain networks: empirical neural vs. modular fractal connectivity. arXiv:1710.08219 (2017).