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
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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
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