时变膜电容模型中的神经激活分析。

IF 2.2 4区 数学 Q2 BIOLOGY
Matías Courdurier, Leonel E Medina, Esteban Paduro
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引用次数: 0

摘要

大多数神经元模型都包含一个电容器,以解释细胞膜所表现出的明显的电容行为。然而,这种电容被广泛认为是恒定的,从而忽略了膜电容对神经兴奋性的可能影响。本研究提出了具有时变膜电容的神经元模型的改进公式,并表明动作电位可以引起某些电容动态。我们的主要结果可以概括为:(a)产生动作电位需要电容有显著和突然的变化;(b)某些简单和明确构造的具有强烈变化的电容曲线确实产生动作电位;(c)过于频繁地强迫电容突然变化可能导致没有动作电位。这些发现对于设计基于超声或其他通过瞬时改变神经元膜电容的神经调节策略具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of neural activation in time-dependent membrane capacitance models.

Most models of neurons incorporate a capacitor to account for the marked capacitive behavior exhibited by the cell membrane. However, such capacitance is widely considered constant, thereby neglecting the possible effects of time-dependent membrane capacitance on neural excitability. This study presents a modified formulation of a neuron model with time-dependent membrane capacitance and shows that action potentials can be elicited for certain capacitance dynamics. Our main results can be summarized as: (a) it is necessary to have significant and abrupt variations in the capacitance to generate action potentials; (b) certain simple and explicitly constructed capacitance profiles with strong variations do generate action potentials; (c) forcing abrupt changes in the capacitance too frequently may result in no action potentials. These findings can have great implications for the design of ultrasound-based or other neuromodulation strategies acting through transiently altering the membrane capacitance of neurons.

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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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