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FitzHugh-Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F20%3A43920558" target="_blank" >RIV/00023752:_____/20:43920558 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/20:00537946 RIV/00023001:_____/20:00080545

  • Result on the web

    <a href="https://aip.scitation.org/doi/10.1063/5.0021420" target="_blank" >https://aip.scitation.org/doi/10.1063/5.0021420</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1063/5.0021420" target="_blank" >10.1063/5.0021420</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    FitzHugh-Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena

  • Original language description

    We study patterns of partial synchronization in a network of FitzHugh-Nagumo oscillators with empirical structural connectivity measured in human subjects. We report the spontaneous occurrence of synchronization phenomena that closely resemble the ones seen during epileptic seizures in humans. In order to obtain deeper insights into the interplay between dynamics and network topology, we perform long-term simulations of oscillatory dynamics on different paradigmatic network structures: random networks, regular nonlocally coupled ring networks, ring networks with fractal connectivities, and small-world networks with various rewiring probability. Among these networks, a small-world network with intermediate rewiring probability best mimics the findings achieved with the simulations using the empirical structural connectivity. For the other network topologies, either no spontaneously occurring epileptic-seizure-related synchronization phenomena can be observed in the simulated dynamics, or the overall degree of synchronization remains high throughout the simulation. This indicates that a topology with some balance between regularity and randomness favors the self-initiation and self-termination of episodes of seizure-like strong synchronization.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • 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

    30

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

    "Article Number: 123130"

  • UT code for WoS article

    000600202600002

  • EID of the result in the Scopus database

    2-s2.0-85099244454