AUTHOR=Øyehaug Leiv TITLE=Slow ion concentration oscillations and multiple states in neuron–glia interaction—insights gained from reduced mathematical models JOURNAL=Frontiers in Network Physiology VOLUME=3 YEAR=2023 URL=https://www.frontiersin.org/journals/network-physiology/articles/10.3389/fnetp.2023.1189118 DOI=10.3389/fnetp.2023.1189118 ISSN=2674-0109 ABSTRACT=

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.