Slow ion concentration oscillations and multiple states in neuron-glia interaction-insights gained from reduced mathematical models.

Leiv Øyehaug
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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.

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慢离子浓度振荡和神经元-胶质细胞相互作用的多种状态-从简化的数学模型中获得的见解。
当分离神经元和神经胶质的细胞外空间中的钾达到足够的水平时,神经元可能会产生自发动作电位,甚至因膜去极化而失活,这反过来又可能导致细胞外钾水平升高。在某些情况下,这一连串的事件可能会引发周期性的神经元活动爆发。在本研究中,采用简化的神经元-胶质细胞模型来探索破裂行为与离子浓度动力学之间的关系。这些简化的模型建立在先前开发的神经元-胶质细胞模型的基础上,其中通道介导的神经元钠和钾电流被神经元钠和细胞外钾浓度的函数所取代。所得到的两个简化模型的模拟动力学显示的特征在质量上与现有的神经元-胶质细胞模型相似。简化模型的分岔分析显示了丰富而有趣的动力学,其中包括Hopf分岔的存在,在Hopf分岔之间,模型在很宽的参数值范围内表现出缓慢的离子浓度振荡。这项研究表明,即使是非常简单的模型也可以提供与复杂现象可能相关的见解。
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