The Effect of the Subthreshold Oscillation Induced by the Neurons' Resonance Upon the Electrical Stimulation-dependent Instability

Overview

Journal Front Neurosci

Date 2023 May 25

PMID 37229430

Authors

Shoujun Yu

Wenji Yue

Tianruo Guo

Yonghong Liu

Yapeng Zhang

Sara Khademi

Tian Zhou

Zhen Xu

Bing Song

Tianzhun Wu

Fenglin Liu

Yanlong Tai

Xuefei Yu

Hao Wang

Affiliations

Soon will be listed here.

Abstract

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.

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