High-frequency stimulation induces axonal conduction block without generating initial action potentials.

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Computational Neuroscience Pub Date : 2022-05-01 DOI:10.1007/s10827-021-00806-4
Yihua Zhong, Jicheng Wang, Jonathan Beckel, William C de Groat, Changfeng Tai
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引用次数: 3

Abstract

The purpose of this modeling study is to develop a novel method to block nerve conduction by high frequency biphasic stimulation (HFBS) without generating initial action potentials. An axonal conduction model including both ion concentrations and membrane ion pumps is used to analyze the axonal response to 1 kHz HFBS. The intensity of HFBS is increased in multiple steps while maintaining the intensity at a sub-threshold level to avoid generating an action potential. Axonal conduction block by HFBS is defined as the failure of action potential propagation at the site of HFBS. The simulation analysis shows that step-increases in sub-threshold intensity during HFBS can successfully block axonal conduction without generating an initial response because the excitation threshold of the axon can be gradually increased by the sub-threshold HFBS. The mechanisms underlying the increase in excitation threshold involve changes in intracellular and extracellular sodium and potassium concentration, change in the resting potential, partial inactivation of the sodium channel and partial activation of the potassium channel by HFBS. When the excitation threshold reaches a sufficient level, an acute block occurs first and after additional sub-threshold HFBS it is followed by a post-stimulation block. This study indicates that step-increases in sub-threshold HFBS intensity induces a gradual increase in axonal excitation threshold that may allow HFBS to block nerve conduction without generating an initial response. If this finding is proven to be true in human, it will significantly impact clinical applications of HFBS to treat chronic pain.

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高频刺激引起轴突传导阻滞,但不产生初始动作电位。
本研究旨在建立一种不产生初始动作电位的高频双相刺激(HFBS)阻断神经传导的新方法。利用包括离子浓度和膜离子泵在内的轴突传导模型分析了轴突对1khz高频脉冲的响应。HFBS的强度分多个步骤增加,同时将强度维持在亚阈值水平,以避免产生动作电位。HFBS引起的轴突传导阻滞定义为动作电位在HFBS部位传播失败。仿真分析表明,亚阈值强度的阶跃增加可以在不产生初始响应的情况下成功阻断轴突传导,因为亚阈值高强度刺激可以逐渐提高轴突的激发阈值。激发阈值升高的机制涉及细胞内外钠钾浓度的变化、静息电位的变化、高强度刺激对钠通道的部分失活和对钾通道的部分激活。当兴奋阈值达到足够的水平时,首先发生急性阻滞,在额外的亚阈值HFBS之后,接着是刺激后阻滞。本研究表明,阈下高强度刺激的阶梯式增加可诱导轴突兴奋阈值的逐渐增加,这可能使高强度刺激在不产生初始反应的情况下阻断神经传导。如果这一发现在人体中被证明是正确的,将对HFBS治疗慢性疼痛的临床应用产生重大影响。
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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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