Frontiers in Neuroscience (May 2023)

The effect of the subthreshold oscillation induced by the neurons' resonance upon the electrical stimulation-dependent instability

  • Shoujun Yu,
  • Shoujun Yu,
  • Wenji Yue,
  • Tianruo Guo,
  • Yonghong Liu,
  • Yapeng Zhang,
  • Yapeng Zhang,
  • Sara Khademi,
  • Sara Khademi,
  • Tian Zhou,
  • Zhen Xu,
  • Bing Song,
  • Tianzhun Wu,
  • Tianzhun Wu,
  • Fenglin Liu,
  • Yanlong Tai,
  • Xuefei Yu,
  • Hao Wang

DOI
https://doi.org/10.3389/fnins.2023.1178606
Journal volume & issue
Vol. 17

Abstract

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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 in-vivo 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.

Keywords