Using compartmental models to understand excitation-inhibition imbalance in epilepsy
Rattachement africain : gb, us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Epileptic seizures are characterized by abnormal synchronous bursting of neurons. This is commonly attributed to an imbalance between excitatory and inhibitory neurotransmission. We introduce compartmental models from epidemiology to study this interaction between excitatory and inhibitory populations of neurons in the context of epilepsy. Neurons could either be bursting or susceptible, and the propagation of action potentials within the brain through the bursting of neurons is considered as an infection spreading through a population. We model the recruitment of neurons into bursting and their subsequent decay to susceptibility to be influenced by the proportion of excitatory and inhibitory neurons bursting, resulting in a two population Susceptible – Infected - Susceptible (SIS) model. This approach provides a tractable framework to inspect the mechanisms behind seizure generation and termination. Considering the excitatory neurotransmission as an epidemic spreading through the neuronal population and the inhibitory neurotransmission as a competing epidemic that stops the spread of excitation, we establish the conditions for a seizure-like state to be stable. Subsequently, we show how an activity-dependent dysfunction of inhibitory mechanisms such as impaired GABAergic inhibition or inhibitory–inhibitory interactions could result in a seizure even when the above conditions are not satisfied.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Using compartmental models to understand excitation-inhibition imbalance in epilepsy
- Date Crossref
- 05/11/2023
- Éditeur
- openRxiv
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Birmingham Centre for Systems Modelling and Quantitative Biomedicine pays non établi dans la noticeUniversité ou école supérieure
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University of Michigan Department of Neurology pays non établi dans la noticeUniversité ou école supérieure
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Michigan United pays non établi dans la noticeOrganisation à but non lucratif
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University of Surrey pays non établi dans la noticeUniversité ou école supérieure
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School of Mathematics & Physics pays non établi dans la noticeUniversité ou école supérieure
Centre for Systems Modelling and Quantitative Biomedicine — University of Birmingham, Department of Neurology — University of Michigan et Michigan United, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.