A general pattern of non-spiking neuron dynamics under the effect of potassium and calcium channel modifications.

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Computational Neuroscience Pub Date : 2023-02-01 DOI:10.1007/s10827-022-00840-w
Loïs Naudin, Laetitia Raison-Aubry, Laure Buhry
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引用次数: 1

Abstract

Electrical activity of excitable cells results from ion exchanges through cell membranes, so that genetic or epigenetic changes in genes encoding ion channels are likely to affect neuronal electrical signaling throughout the brain. There is a large literature on the effect of variations in ion channels on the dynamics of spiking neurons that represent the main type of neurons found in the vertebrate nervous systems. Nevertheless, non-spiking neurons are also ubiquitous in many nervous tissues and play a critical role in the processing of some sensory systems. To our knowledge, however, how conductance variations affect the dynamics of non-spiking neurons has never been assessed. Based on experimental observations reported in the biological literature and on mathematical considerations, we first propose a phenotypic classification of non-spiking neurons. Then, we determine a general pattern of the phenotypic evolution of non-spiking neurons as a function of changes in calcium and potassium conductances. Furthermore, we study the homeostatic compensatory mechanisms of ion channels in a well-posed non-spiking retinal cone model. We show that there is a restricted range of ion conductance values for which the behavior and phenotype of the neuron are maintained. Finally, we discuss the implications of the phenotypic changes of individual cells at the level of neuronal network functioning of the C. elegans worm and the retina, which are two non-spiking nervous tissues composed of neurons with various phenotypes.

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钾和钙通道修饰作用下非尖峰神经元动力学的一般模式。
可兴奋细胞的电活动是通过细胞膜进行离子交换的结果,因此编码离子通道的基因的遗传或表观遗传变化可能影响整个大脑的神经元电信号。关于离子通道变化对棘突神经元动力学的影响有大量的文献,棘突神经元是脊椎动物神经系统中发现的主要类型的神经元。然而,非尖峰神经元也普遍存在于许多神经组织中,在一些感觉系统的处理中起着关键作用。然而,据我们所知,电导变化如何影响非尖峰神经元的动力学从未被评估过。基于生物学文献中的实验观察和数学考虑,我们首先提出了非尖峰神经元的表型分类。然后,我们确定了非尖峰神经元表型进化的一般模式,作为钙和钾电导变化的功能。此外,我们研究了离子通道的稳态补偿机制,在一个适定的非尖峰视网膜锥体模型。我们表明,有一个限制范围的离子电导值的行为和表型神经元是维持。最后,我们讨论了秀丽隐杆线虫和视网膜这两个由不同表型神经元组成的非尖峰神经组织在神经元网络功能水平上单个细胞表型变化的意义。
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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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