Yu Shoujun, Yue Wenji, Guo Tianruo, Liu Yonghong, Zhang Yapeng, Khademi Sara, Zhou Tian, Xu Zhen, Song Bing, Wu Tianzhun, Liu Fenglin, Tai Yanlong, Yu Xuefei, Wang Hao
School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, China.
Front Neurosci. 2023 May 9;17:1178606. doi: 10.3389/fnins.2023.1178606. eCollection 2023.
Repetitive electrical nerve stimulation can induce a long-lasting perturbation of the axon's membrane potential, resulting in unstable stimulus-response relationships. Despite being observed in electrophysiology, the precise mechanism underlying electrical stimulation-dependent (ES-dependent) instability is still an open question. This study proposes a model to reveal a facet of this problem: how threshold fluctuation affects electrical nerve stimulations. This study proposes a new method based on a Circuit-Probability theory (C-P theory) to reveal the interlinkages between the subthreshold oscillation induced by neurons' resonance and ES-dependent instability of neural response. Supported by studies, this new model predicts several key characteristics of ES-dependent instability and proposes a stimulation method to minimize the instability. This model provides a powerful tool to improve our understanding of the interaction between the external electric field and the complexity of the biophysical characteristics of axons.
重复性电神经刺激可诱发轴突膜电位的长期扰动,导致刺激-反应关系不稳定。尽管在电生理学中已观察到这种现象,但电刺激依赖性(ES依赖性)不稳定背后的确切机制仍是一个悬而未决的问题。本研究提出了一个模型来揭示该问题的一个方面:阈值波动如何影响电神经刺激。本研究提出了一种基于电路-概率理论(C-P理论)的新方法,以揭示由神经元共振引起的阈下振荡与神经反应的ES依赖性不稳定之间的相互联系。在多项研究的支持下,这个新模型预测了ES依赖性不稳定的几个关键特征,并提出了一种将不稳定性降至最低的刺激方法。该模型为增进我们对外部电场与轴突生物物理特性复杂性之间相互作用的理解提供了一个强大的工具。