Transitions between neocortical seizure and non-seizure-like states and their association with presynaptic glutamate release

Autor: Yotin Chinvarun, Peter L. Carlen, Vanessa L. Breton, Jose Martin Del Campo, Suzie Dufour, Berj L. Bardakjian
Rok vydání: 2020
Předmět:
Zdroj: Neurobiology of Disease, Vol 146, Iss, Pp 105124-(2020)
ISSN: 1095-953X
Popis: The transition between seizure and non-seizure states in neocortical epileptic networks is governed by distinct underlying dynamical processes. Based on the gamma distribution of seizure and inter-seizure durations, over time, seizures are highly likely to self-terminate; whereas, inter-seizure durations have a low chance of transitioning back into a seizure state. Yet, the chance of a state transition could be formed by multiple overlapping, unknown synaptic mechanisms. To identify the relationship between the underlying synaptic mechanisms and the chance of seizure-state transitions, we analyzed the skewed histograms of seizure durations in human intracranial EEG and seizure-like events (SLEs) in local field potential activity from mouse neocortical slices, using an objective method for seizure state classification. While seizures and SLE durations were demonstrated to have a unimodal distribution (gamma distribution shape parameter >1), suggesting a high likelihood of terminating, inter-SLE intervals were shown to have an asymptotic exponential distribution (gamma distribution shape parameter
Databáze: OpenAIRE
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