Potgieter Paul, Linde Lukas, van Blerk Petra, Birkill Corlius Fourie
Algiamed Technologies, 2025 Willingdon Avenue # 900, Burnaby, BC, V5C 0J3, Canada.
BMC Biomed Eng. 2025 Jun 2;7(1):6. doi: 10.1186/s42490-025-00092-6.
Transmission of electrical impulses along axons is commonly modelled with the cable equation, which neglects the inductive effects that have been measured in nerves. By using the telegrapher's equations, it is possible to incorporate inductive effects and compare with the non-inductive case. Although both of these approaches have been extensively studied, the question remains as to which of these provides a more accurate model of human physiology. Many of the electrical properties of nerves are frequency-dependent, a fact which is not very relevant in a low-frequency domain, but which becomes salient when higher frequencies are considered, and necessitates the exploration of the magnitude of their effects. We compare the effects of both inductance and other variable parameters across a wide frequency range using both the cable equation and the telegrapher's equations, demonstrating that it is possible for axons to transmit high-frequency signals much more effectively than might be expected, especially in the absence of an action potential. This implies that the high-frequency domain necessitates use of the more complete model.
沿轴突的电脉冲传输通常用电缆方程来建模,该方程忽略了在神经中已测量到的电感效应。通过使用电报员方程,可以纳入电感效应并与无电感情况进行比较。尽管这两种方法都已得到广泛研究,但问题仍然是哪一种能提供更准确的人体生理模型。神经的许多电学特性都与频率有关,这一事实在低频域不太重要,但在考虑更高频率时就变得显著,并且需要探究其影响的大小。我们使用电缆方程和电报员方程在很宽的频率范围内比较了电感和其他可变参数的影响,表明轴突能够比预期更有效地传输高频信号,尤其是在没有动作电位的情况下。这意味着在高频域需要使用更完整的模型。