Long-term seizure dynamics are determined by the nature of seizures and the mutual interactions between them
Language English Country United States Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
33771663
DOI
10.1016/j.nbd.2021.105347
PII: S0969-9961(21)00096-6
Knihovny.cz E-resources
- Keywords
- Clustering, Dynamics, EEG, Long-term profile, Probability, Seizures, Temporal lobe epilepsy, Tetanus toxin,
- MeSH
- Time Factors MeSH
- Electroencephalography methods trends MeSH
- Epilepsy, Temporal Lobe chemically induced physiopathology MeSH
- Rats MeSH
- Rats, Sprague-Dawley MeSH
- Rats, Wistar MeSH
- Tetanus Toxin toxicity MeSH
- Seizures chemically induced physiopathology MeSH
- Animals MeSH
- Check Tag
- Rats MeSH
- Male MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Tetanus Toxin MeSH
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.
References provided by Crossref.org
Amplitude entropy captures chimera resembling behavior in the altered brain dynamics during seizures
Epilepsy Research in the Institute of Physiology of the Czech Academy of Sciences in Prague
Computational modeling allows unsupervised classification of epileptic brain states across species
