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Long-term seizure dynamics are determined by the nature of seizures and the mutual interactions between them

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F21%3A00542629" target="_blank" >RIV/67985823:_____/21:00542629 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/21:00542629 RIV/00023752:_____/21:43920591 RIV/00216208:11130/21:10425960 RIV/00064203:_____/21:10425960 RIV/68407700:21230/21:00351011

  • Result on the web

    <a href="https://doi.org/10.1016/j.nbd.2021.105347" target="_blank" >https://doi.org/10.1016/j.nbd.2021.105347</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.nbd.2021.105347" target="_blank" >10.1016/j.nbd.2021.105347</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Long-term seizure dynamics are determined by the nature of seizures and the mutual interactions between them

  • Original language description

    The seemingly random and unpredictable nature of seizures is a major debilitating factor for people with epilepsy. An increasing body of evidence demonstrates that the epileptic brain exhibits long-term fluctuations in seizure susceptibility, and seizure emergence seems to be a consequence of processes operating over multiple temporal scales. A deeper insight into the mechanisms responsible for long-term seizure fluctuations may provide important information for understanding the complex nature of seizure genesis. In this study, we explored the long-term dynamics of seizures in the tetanus toxin model of temporal lobe epilepsy. The results demonstrate the existence of long-term fluctuations in seizure probability, where seizures form clusters in time and are then followed by seizure-free periods. Within each cluster, seizure distribution is non-Poissonian, as demonstrated by the progressively increasing inter-seizure interval (ISI), which marks the approaching cluster termination. The lengthening of ISIs is paralleled by: increasing behavioral seizure severity, the occurrence of convulsive seizures, recruitment of extra-hippocampal structures and the spread of electrographic epileptiform activity outside of the limbic system. The results suggest that repeated non-convulsive seizures obey the ‘seizures-beget-seizures’ principle, leading to the occurrence of convulsive seizures, which decrease the probability of a subsequent seizure and, thus, increase the following ISI. The cumulative effect of repeated convulsive seizures leads to cluster termination, followed by a long inter-cluster period. We propose that seizures themselves are an endogenous factor that contributes to long-term fluctuations in seizure susceptibility and their mutual interaction determines the future evolution of disease activity.

  • 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

    30103 - Neurosciences (including psychophysiology)

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

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Neurobiology of Disease

  • ISSN

    0969-9961

  • e-ISSN

    1095-953X

  • Volume of the periodical

    154

  • Issue of the periodical within the volume

    July

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    105347

  • UT code for WoS article

    000647663200007

  • EID of the result in the Scopus database

    2-s2.0-85103417845