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PERSPECTIVE article

Front. Neural Circuits

Volume 19 - 2025 | doi: 10.3389/fncir.2025.1568655

This article is part of the Research Topic Neuro-inspired computation View all 4 articles

Vagus nerve stimulation as a predictive coding modulator that enhances feedforward over feedback transmission

Provisionally accepted
  • 1 Jichi Medical University, Tochigi, Tochigi, Japan
  • 2 The University of Tokyo, Bunkyo, Japan

The final, formatted version of the article will be published soon.

    Vagus nerve stimulation (VNS) has emerged as a promising therapeutic intervention across various neurological and psychiatric conditions, including epilepsy, depression, and stroke rehabilitation; however, its mechanisms of action on neural circuits remain incompletely understood. Here, we present a novel theoretical framework based on predictive coding that conceptualizes VNS effects through differential modulation of feedforward and feedback neural circuits. Based on recent evidence, we propose that VNS shifts the balance between feedforward and feedback processing through multiple neuromodulatory systems, resulting in enhanced feedforward signal transmission. This framework integrates anatomical pathways, receptor distributions, and physiological responses to explain the influence of the VNS on neural dynamics across different spatial and temporal scales. Vagus nerve stimulation may facilitate neural plasticity and adaptive behavior through acetylcholine and noradrenaline (norepinephrine), which differentially modulate feedforward and feedback signaling. This mechanistic understanding serves as a basis for interpreting the cognitive and therapeutic outcomes across different clinical conditions. Our perspective provides a unified theoretical framework for understanding circuitspecific VNS effects and suggests new directions for investigating their therapeutic mechanisms.

    Keywords: Vagus Nerve Stimulation, Acetylcholine, noradrenaline, plasticity, Cognitive Function, Epilepsy, Depression, stroke rehabilitation

    Received: 30 Jan 2025; Accepted: 31 Mar 2025.

    Copyright: © 2025 Kumagai, Shiramatsu, Kawai and Takahashi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Hirokazu Takahashi, The University of Tokyo, Bunkyo, Japan

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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