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

0542629 - FGÚ 2022 RIV US eng J - Článek v odborném periodiku
Kudláček, Jan - Chvojka, Jan - Kumpošt, Vojtěch - Heřmanovská, Barbora - Pošusta, Antonín - Jefferys, J. G. R. - Maturana, M. I. - Novák, O. - Cook, M. J. - Otáhal, Jakub - Hlinka, Jaroslav - Jiruška, Přemysl
Long-term seizure dynamics are determined by the nature of seizures and the mutual interactions between them.
Neurobiology of Disease. Roč. 154, July (2021), č. článku 105347. ISSN 0969-9961. E-ISSN 1095-953X
Grant CEP: GA MZd(CZ) NV17-28427A; GA ČR(CZ) GA18-07908S; GA ČR(CZ) GA14-02634S
Institucionální podpora: RVO:67985823 ; RVO:67985807
Klíčová slova: seizures * clustering * long-term profile * temporal lobe epilepsy * tetanus toxin * probability * dynamics * EEG
Obor OECD: Neurosciences (including psychophysiology; Neurosciences (including psychophysiology (UIVT-O)
Impakt faktor: 7.046, rok: 2021
Způsob publikování: Open access
https://doi.org/10.1016/j.nbd.2021.105347

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.
Trvalý link: http://hdl.handle.net/11104/0320018