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Mathematical model of Na-K-Cl homeostasis in ictal and interictal discharges

Despite big experimental data on the phenomena and mechanisms of the generation of ictal and interictal discharges (IDs and IIDs), mathematical models that can describe the synaptic interactions of neurons and the ionic dynamics in biophysical detail are not well-established. Based on experimental r...

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Autores principales: Chizhov, Anton V., Amakhin, Dmitry V., Zaitsev, Aleksey V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420042/
https://www.ncbi.nlm.nih.gov/pubmed/30875397
http://dx.doi.org/10.1371/journal.pone.0213904
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author Chizhov, Anton V.
Amakhin, Dmitry V.
Zaitsev, Aleksey V.
author_facet Chizhov, Anton V.
Amakhin, Dmitry V.
Zaitsev, Aleksey V.
author_sort Chizhov, Anton V.
collection PubMed
description Despite big experimental data on the phenomena and mechanisms of the generation of ictal and interictal discharges (IDs and IIDs), mathematical models that can describe the synaptic interactions of neurons and the ionic dynamics in biophysical detail are not well-established. Based on experimental recordings of combined hippocampal-entorhinal cortex slices from rats in a high-potassium and a low-magnesium solution containing 4-aminopyridine as well as previous observations of similar experimental models, this type of mathematical model has been developed. The model describes neuronal excitation through the application of the conductance-based refractory density approach for three neuronal populations: two populations of glutamatergic neurons with hyperpolarizing and depolarizing GABAergic synapses and one GABAergic population. The ionic dynamics account for the contributions of voltage-gated and synaptic channels, active and passive transporters, and diffusion. The relatively slow dynamics of potassium, chloride, and sodium ion concentrations determine the transitions from pure GABAergic IIDs to IDs and GABA-glutamatergic IIDs. The model reproduces different types of IIDs, including those initiated by interneurons; repetitive IDs; tonic and bursting modes of an ID composed of clustered IID-like events. The simulations revealed contributions from different ionic channels to the ion concentration dynamics before and during ID generation. The proposed model is a step forward to an optimal mathematical description of the mechanisms of epileptic discharges.
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spelling pubmed-64200422019-04-02 Mathematical model of Na-K-Cl homeostasis in ictal and interictal discharges Chizhov, Anton V. Amakhin, Dmitry V. Zaitsev, Aleksey V. PLoS One Research Article Despite big experimental data on the phenomena and mechanisms of the generation of ictal and interictal discharges (IDs and IIDs), mathematical models that can describe the synaptic interactions of neurons and the ionic dynamics in biophysical detail are not well-established. Based on experimental recordings of combined hippocampal-entorhinal cortex slices from rats in a high-potassium and a low-magnesium solution containing 4-aminopyridine as well as previous observations of similar experimental models, this type of mathematical model has been developed. The model describes neuronal excitation through the application of the conductance-based refractory density approach for three neuronal populations: two populations of glutamatergic neurons with hyperpolarizing and depolarizing GABAergic synapses and one GABAergic population. The ionic dynamics account for the contributions of voltage-gated and synaptic channels, active and passive transporters, and diffusion. The relatively slow dynamics of potassium, chloride, and sodium ion concentrations determine the transitions from pure GABAergic IIDs to IDs and GABA-glutamatergic IIDs. The model reproduces different types of IIDs, including those initiated by interneurons; repetitive IDs; tonic and bursting modes of an ID composed of clustered IID-like events. The simulations revealed contributions from different ionic channels to the ion concentration dynamics before and during ID generation. The proposed model is a step forward to an optimal mathematical description of the mechanisms of epileptic discharges. Public Library of Science 2019-03-15 /pmc/articles/PMC6420042/ /pubmed/30875397 http://dx.doi.org/10.1371/journal.pone.0213904 Text en © 2019 Chizhov et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chizhov, Anton V.
Amakhin, Dmitry V.
Zaitsev, Aleksey V.
Mathematical model of Na-K-Cl homeostasis in ictal and interictal discharges
title Mathematical model of Na-K-Cl homeostasis in ictal and interictal discharges
title_full Mathematical model of Na-K-Cl homeostasis in ictal and interictal discharges
title_fullStr Mathematical model of Na-K-Cl homeostasis in ictal and interictal discharges
title_full_unstemmed Mathematical model of Na-K-Cl homeostasis in ictal and interictal discharges
title_short Mathematical model of Na-K-Cl homeostasis in ictal and interictal discharges
title_sort mathematical model of na-k-cl homeostasis in ictal and interictal discharges
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420042/
https://www.ncbi.nlm.nih.gov/pubmed/30875397
http://dx.doi.org/10.1371/journal.pone.0213904
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