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首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >Dependence of excitability indices on membrane channel dynamics, myelin impedance, electrode location and stimulus waveforms in myelinated and unmyelinated fibre models
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Dependence of excitability indices on membrane channel dynamics, myelin impedance, electrode location and stimulus waveforms in myelinated and unmyelinated fibre models

机译:兴奋性指数对膜通道动力学,髓阻抗,电极位置和刺激波形在髓鞘和未键入纤维模型中的依赖性

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摘要

Neuronal excitability is determined in a complex way by several interacting factors, such as membrane dynamics, fibre geometry, electrode configuration, myelin impedance, neuronal terminations This study aims to increase understanding in excitability, by investigating the impact of these factors on different models of myelinated and unmyelinated fibres (five well-known membrane models are combined with three electrostimulation models, that take into account the spatial structure of the neuron). Several excitability indices (rheobase, polarity ratio, bi/monophasic ratio, time constants) are calculated during extensive parameter sweeps, allowing us to obtain novel findings on how these factors interact, e.g. how the dependency of excitability indices on the fibre diameter and myelin impedance is influenced by the electrode location and membrane dynamics. It was found that excitability is profoundly impacted by the used membrane model and the location of the neuronal terminations. The approximation of infinite myelin impedance was investigated by two implementations of the spatially extended non-linear node model. The impact of this approximation on the time constant of strength-duration plots is significant, most importantly in the Frankenhaeuser-Huxley membrane model for large electrode-neuron separations. Finally, a multi-compartmental model for C-fibres is used to determine the impact of the absence of internodes on excitability.
机译:通过几种相互作用因子,例如膜动力学,纤维几何形状,电极配置,髓阻抗,神经元终端,通过调查这些因素对不同模型的影响,以膜动力学,纤维几何形状,电极配置,髓阻抗,神经元终端,敏感性终端,通过调查这些因素对不同模型的影响,以兴奋性的影响增加了兴奋性的理解和未键合的纤维(五种众所周知的膜模型与三种电刺激模型组合,考虑到神经元的空间结构)。在广泛的参数扫描期间计算了几种兴奋性指数(Rheobase,极性比,Bi /单次比例,时间常数),允许我们获得关于这些因素的互动的新发现,例如,如何对纤维直径和髓鞘阻抗的兴奋性指数的依赖性受电极位置和膜动力学的影响。发现兴奋性受到二手膜模型和神经元终端的位置影响。通过空间延伸的非线性节点模型的两种实现研究了无限肌素阻抗的近似。这种近似对强度持续时间图的时间常数的影响是显着的,最重要的是在Frankenhaeuser-Huxley膜模型中用于大电极 - 神经元分离。最后,用于C纤维的多隔室模型用于确定缺乏间隙对兴奋性的影响。

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