Berlin 2018 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 19: Chimera states: symmetry-breaking in dynamical networks (joint session DY/SOE)

SOE 19.7: Talk

Thursday, March 15, 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 Hlinka^2,3, 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).