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Chimera states in brain networks: Empirical neural vs. modular fractal connectivity

Teresa Chouzouris, Iryna Omelchenko, Anna Zakharova, Jaroslav Hlinka, Premysl Jiruska, Eckehard Schöll

. 2018 ; (4) : 045112.

Jazyk angličtina Země Spojené státy americké

Typ dokumentu práce podpořená grantem, srovnávací studie

Perzistentní odkaz   https://www.medvik.cz/link/bmc20017146

Grantová podpora
NV15-29835A MZ0 CEP - Centrální evidence projektů
NV17-28427A MZ0 CEP - Centrální evidence projektů

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.

Citace poskytuje Crossref.org

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