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Main Title: Chimera states in brain networks: Empirical neural vs. modular fractal connectivity
Author(s): Chouzouris, Teresa
Omelchenko, Iryna
Zakharova, Anna
Hlinka, Jaroslav
Jiruska, Premysl
Schöll, Eckehard
Type: Article
Language Code: en
Abstract: Complex spatiotemporal patterns, called chimera states, consist of coexisting coherent and incoherent domains and can be observed in networks of coupled oscillators. The interplay of synchrony and asynchrony in complex brain networks is an important aspect in studies of both the brain function and disease. We analyse the collective dynamics of FitzHugh-Nagumo neurons in complex networks motivated by its potential application to epileptology and epilepsy surgery. We compare two topologies: an empirical structural neural connectivity derived from diffusion-weighted magnetic resonance imaging and a mathematically constructed network with modular fractal connectivity. We analyse the properties of chimeras and partially synchronized states and obtain regions of their stability in the parameter planes. Furthermore, 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.
Issue Date: 9-Apr-2018
Date Available: 27-Feb-2020
DDC Class: 530 Physik
Subject(s): complex networks
magnetic resonance
Sponsor/Funder: DFG, 163436311, SFB 910: Kontrolle selbstorganisierender nichtlinearer Systeme: Theoretische Methoden und Anwendungskonzepte
Journal Title: Chaos
Publisher: American Institute of Physics (AIP)
Publisher Place: Melville, NY
Volume: 28
Issue: 4
Article Number: 045112
Publisher DOI: 10.1063/1.5009812
EISSN: 1089-7682
ISSN: 1054-1500
Notes: This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Chaos 28, 045112 (2018) and may be found at
Appears in Collections:FG Nichtlineare Dynamik und Kontrolle » Publications

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