Chimera states in brain networks: Empirical neural vs. modular fractal connectivity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F18%3A43919972" target="_blank" >RIV/00023752:_____/18:43919972 - isvavai.cz</a>
Alternative codes found
RIV/67985823:_____/18:00489894 RIV/67985807:_____/18:00489894
Result on the web
<a href="https://aip.scitation.org/doi/10.1063/1.5009812" target="_blank" >https://aip.scitation.org/doi/10.1063/1.5009812</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/1.5009812" target="_blank" >10.1063/1.5009812</a>
Alternative languages
Result language
angličtina
Original language name
Chimera states in brain networks: Empirical neural vs. modular fractal connectivity
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/LO1611" target="_blank" >LO1611: Sustainability for The National Institute of Mental Health</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Chaos
ISSN
1054-1500
e-ISSN
—
Volume of the periodical
28
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
"Article Number: 045112"
UT code for WoS article
000431142000042
EID of the result in the Scopus database
2-s2.0-85045270801