Evidence map›Paper›PMID 40771876›Full record

ArticleFrontiers in neural circuits2025

Vagus nerve stimulation modulates information representation of sustained activity in layer specific manner in the rat auditory cortex.

Tomoyo Isoguchi Shiramatsu, Kenji Ibayashi, Kensuke Kawai, Hirokazu Takahashi

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tomoyo Isoguchi ShiramatsuGraduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.
Kenji IbayashiSchool of Medicine, Jichi Medical University, Tochigi, Japan.
Kensuke KawaiSchool of Medicine, Jichi Medical University, Tochigi, Japan.
Hirokazu TakahashiGraduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how vagus nerve stimulation (VNS) modulates cortical information processing is essential to developing sustainable, adaptive artificial intelligence inspired by biological systems. This study presents the first evidence that VNS alters the representation of auditory information in a manner that is both layer- and frequency band-specific within the rat auditory cortex. Using a microelectrode array, we meticulously mapped the band-specific power and phase-locking value of sustained activities in layers 2/3, 4, and 5/6, of the rat auditory cortex. We used sparse logistic regression to decode the test frequency from these neural characteristics and compared the decoding accuracy before and after applying VNS. Our results showed that VNS impairs high-gamma band representation in deeper layers (layers 5/6), enhances theta band representation in those layers, and slightly improves high-gamma representation in superficial layers (layers 2/3 and 4), demonstrating the layer-specific and frequency band-specific effect of VNS. These findings suggest that VNS modulates the balance between feed-forward and feed-back pathways in the auditory cortex, providing novel insights into the mechanisms of neuromodulation and its potential applications in brain-inspired computing and therapeutic interventions.

Indexed as

Auditory CortexAuditory PerceptionVagus Nerve StimulationAnimalsGamma RhythmMaleRatsRats, Sprague-Dawleyauditory cortexmachine learningmicroelectrode arrayphase locking valuesparse logistic regressionsustained activityvagus nerve stimulation

Identifiers

PMID40771876
PMCPMC12325384

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.