Ghent University-IMEC, Technologiepark 15, Zwijnaarde, 9052, Ghent, Belgium.
Med Biol Eng Comput. 2018 Sep;56(9):1595-1613. doi: 10.1007/s11517-018-1799-y. Epub 2018 Feb 24.
Neuronal excitability is determined in a complex way by several interacting factors, such as membrane dynamics, fibre geometry, electrode configuration, myelin impedance, neuronal terminations[Formula: see text] 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[Formula: see text]) 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. Graphical Abstract Electrostimulation models, obtained by combining five membrane models with three representations of the neuronal cable equation, are fed with electrode and stimulus input parameters. The dependency of neuronal excitability on the interaction of these input parameters is determined by deriving excitability indices from the spatiotemporal model response. The impact of the myelin impedance and the fibre diameter on neural excitability is also considered.
神经元兴奋性是由多种相互作用的因素决定的,如膜动力学、纤维几何形状、电极配置、髓鞘阻抗、神经元末梢[公式:见正文]。本研究旨在通过研究这些因素对不同有髓和无髓纤维模型(将五个著名的膜模型与三个考虑神经元空间结构的电刺激模型相结合)的影响,来增加对兴奋性的理解。在广泛的参数扫描过程中计算了几个兴奋性指数(阈值、极性比、双/单相比、时间常数[公式:见正文]),使我们能够获得关于这些因素如何相互作用的新发现,例如,兴奋性指数对纤维直径和髓鞘阻抗的依赖性如何受到电极位置和膜动力学的影响。研究发现,兴奋性受到所用膜模型和神经元末梢位置的深刻影响。通过两种空间扩展非线性节点模型的实现,研究了无限髓鞘阻抗的近似值。这种近似值对强度-持续时间图的时间常数的影响是显著的,尤其是在电极-神经元分离较大的 Frankenhaeuser-Huxley 膜模型中。最后,使用 C 纤维的多室模型来确定无节段对兴奋性的影响。