The role of astrocytes in place cell formation: A computational modeling study.

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Computational Neuroscience Pub Date : 2022-11-01 Epub Date: 2022-07-15 DOI:10.1007/s10827-022-00828-6
Ioannis Polykretis, Konstantinos P Michmizos
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引用次数: 1

Abstract

Place cells develop spatially-tuned receptive fields during the early stages of novel environment exploration. The generative mechanism underlying these spatially-selective responses remains largely elusive, but has been associated with theta rhythmicity. An important factor implicating the transformation of silent cells to place cells is a spatially-uniform depolarization that is mediated by a persistent sodium current. This neuronal current is modulated by extracellular calcium concentration, which, in turn, is actively controlled by astrocytes. However, there is no established relationship between the neuronal depolarization and astrocytic activity. To consider this link, we designed a bioplausible computational model of a neuronal-astrocytic network, where astrocytes induced the transient emergence of place fields in silent cells, and accelerated the plasticity-induced consolidation of place cells. Interestingly, theta oscillations emerged naturally at the network level, resulting from the astrocytic modulation of subcellular neuronal properties. Our results suggest that astrocytes participate in spatial mapping and exploration, and further highlight the computational roles of these cells in the brain.

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星形胶质细胞在原位细胞形成中的作用:一项计算建模研究。
在新环境探索的早期阶段,位置细胞形成了空间调谐的感受野。这些空间选择性反应的生成机制在很大程度上仍然难以捉摸,但与θ节律性有关。涉及沉默细胞向定位细胞转化的一个重要因素是由持续的钠电流介导的空间均匀去极化。这种神经元电流由细胞外钙浓度调节,而细胞外钙又由星形胶质细胞主动控制。然而,神经元去极化和星形细胞活性之间还没有确定的关系。为了考虑这一联系,我们设计了一个神经元-星形胶质细胞网络的生物可分解计算模型,其中星形胶质细胞诱导沉默细胞中位置场的短暂出现,并加速了位置细胞的可塑性诱导的巩固。有趣的是,θ振荡在网络水平上自然出现,这是由亚细胞神经元特性的星形细胞调节引起的。我们的研究结果表明,星形胶质细胞参与了空间映射和探索,并进一步突出了这些细胞在大脑中的计算作用。
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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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