霍奇金-赫胥黎模型中包含延迟整流钾通道病变的神经元兴奋性改变。

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Computational Neuroscience Pub Date : 2020-11-01 Epub Date: 2020-10-15 DOI:10.1007/s10827-020-00766-1
Omar A Hafez, Allan Gottschalk
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引用次数: 3

摘要

涉及延迟整流器K+通道Kv1.1的获得性或遗传修饰的通道病变包括以神经元兴奋性增强为特征的表型。受影响的Kv1.1通道表现出表达改变、电压敏感性以及激活和失活率的组合。计算模型和分析可以揭示特定通道病变改变神经元兴奋性的潜力。采用动态系统方法研究了延迟整流器K+通道特性改变时神经兴奋的霍奇金-赫胥黎(HH)模型的兴奋性和潜在的动力学结构。当稳定注入电流的振幅与描述延迟整流器激活和失活速率、最大电导和电压灵敏度的单一参数同时变化时,HH模型的分岔模式被确定。延迟整流器K+通道性质的相对适度变化,类似于其通道病变所描述的变化,改变了HH模型的分岔结构,并深刻地改变了HH模型的兴奋性。与Kv1.1相关的通道病变可以降低神经活动开始的阈值。这些研究还证明了病理性延迟整流K+通道如何导致观察到广义Hopf分岔,也许,Hopf分岔的其他变体。观察到的分岔模式共同表明,HH模型中标称延迟整流器的特性似乎得到了优化,可以在尽可能宽的输入电流范围内激活HH模型。
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Altered neuronal excitability in a Hodgkin-Huxley model incorporating channelopathies of the delayed rectifier potassium channel.

Channelopathies involving acquired or genetic modifications of the delayed rectifier K+ channel Kv1.1 include phenotypes characterized by enhanced neuronal excitability. Affected Kv1.1 channels exhibit combinations of altered expression, voltage sensitivity, and rates of activation and deactivation. Computational modeling and analysis can reveal the potential of particular channelopathies to alter neuronal excitability. A dynamical systems approach was taken to study the excitability and underlying dynamical structure of the Hodgkin-Huxley (HH) model of neural excitation as properties of the delayed rectifier K+ channel were altered. Bifurcation patterns of the HH model were determined as the amplitude of steady injection current was varied simultaneously with single parameters describing the delayed rectifier rates of activation and deactivation, maximal conductance, and voltage sensitivity. Relatively modest changes in the properties of the delayed rectifier K+ channel analogous to what is described for its channelopathies alter the bifurcation structure of the HH model and profoundly modify excitability of the HH model. Channelopathies associated with Kv1.1 can reduce the threshold for onset of neural activity. These studies also demonstrate how pathological delayed rectifier K+ channels could lead to the observation of the generalized Hopf bifurcation and, perhaps, other variants of the Hopf bifurcation. The observed bifurcation patterns collectively demonstrate that properties of the nominal delayed rectifier in the HH model appear optimized to permit activation of the HH model over the broadest possible range of input currents.

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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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