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Slow ion concentration oscillations and multiple states in neuron–glia interaction—insights gained from reduced mathematical models
When potassium in the extracellular space separating neurons and glia reaches sufficient levels, neurons may fire spontaneous action potentials or even become inactivated due to membrane depolarisation, which, in turn, may lead to increased extracellular potassium levels. Under certain circumstances...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241345/ https://www.ncbi.nlm.nih.gov/pubmed/37284003 http://dx.doi.org/10.3389/fnetp.2023.1189118 |
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author | Øyehaug, Leiv |
author_facet | Øyehaug, Leiv |
author_sort | Øyehaug, Leiv |
collection | PubMed |
description | When potassium in the extracellular space separating neurons and glia reaches sufficient levels, neurons may fire spontaneous action potentials or even become inactivated due to membrane depolarisation, which, in turn, may lead to increased extracellular potassium levels. Under certain circumstances, this chain of events may trigger periodic bursts of neuronal activity. In the present study, reduced neuron–glia models are applied to explore the relationship between bursting behaviour and ion concentration dynamics. These reduced models are built based on a previously developed neuron–glia model, in which channel-mediated neuronal sodium and potassium currents are replaced by a function of neuronal sodium and extracellular potassium concentrations. Simulated dynamics of the resulting two reduced models display features that are qualitatively similar to those of the existing neuron–glia model. Bifurcation analyses of the reduced models show rich and interesting dynamics that include the existence of Hopf bifurcations between which the models exhibit slow ion concentration oscillations for a wide range of parameter values. The study demonstrates that even very simple models can provide insights of possible relevance to complex phenomena. |
format | Online Article Text |
id | pubmed-10241345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102413452023-06-06 Slow ion concentration oscillations and multiple states in neuron–glia interaction—insights gained from reduced mathematical models Øyehaug, Leiv Front Netw Physiol Network Physiology When potassium in the extracellular space separating neurons and glia reaches sufficient levels, neurons may fire spontaneous action potentials or even become inactivated due to membrane depolarisation, which, in turn, may lead to increased extracellular potassium levels. Under certain circumstances, this chain of events may trigger periodic bursts of neuronal activity. In the present study, reduced neuron–glia models are applied to explore the relationship between bursting behaviour and ion concentration dynamics. These reduced models are built based on a previously developed neuron–glia model, in which channel-mediated neuronal sodium and potassium currents are replaced by a function of neuronal sodium and extracellular potassium concentrations. Simulated dynamics of the resulting two reduced models display features that are qualitatively similar to those of the existing neuron–glia model. Bifurcation analyses of the reduced models show rich and interesting dynamics that include the existence of Hopf bifurcations between which the models exhibit slow ion concentration oscillations for a wide range of parameter values. The study demonstrates that even very simple models can provide insights of possible relevance to complex phenomena. Frontiers Media S.A. 2023-05-22 /pmc/articles/PMC10241345/ /pubmed/37284003 http://dx.doi.org/10.3389/fnetp.2023.1189118 Text en Copyright © 2023 Øyehaug. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Network Physiology Øyehaug, Leiv Slow ion concentration oscillations and multiple states in neuron–glia interaction—insights gained from reduced mathematical models |
title | Slow ion concentration oscillations and multiple states in neuron–glia interaction—insights gained from reduced mathematical models |
title_full | Slow ion concentration oscillations and multiple states in neuron–glia interaction—insights gained from reduced mathematical models |
title_fullStr | Slow ion concentration oscillations and multiple states in neuron–glia interaction—insights gained from reduced mathematical models |
title_full_unstemmed | Slow ion concentration oscillations and multiple states in neuron–glia interaction—insights gained from reduced mathematical models |
title_short | Slow ion concentration oscillations and multiple states in neuron–glia interaction—insights gained from reduced mathematical models |
title_sort | slow ion concentration oscillations and multiple states in neuron–glia interaction—insights gained from reduced mathematical models |
topic | Network Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241345/ https://www.ncbi.nlm.nih.gov/pubmed/37284003 http://dx.doi.org/10.3389/fnetp.2023.1189118 |
work_keys_str_mv | AT øyehaugleiv slowionconcentrationoscillationsandmultiplestatesinneurongliainteractioninsightsgainedfromreducedmathematicalmodels |