Evidence map›Paper›PMID 41169018›Full record

ArticleCNS neuroscience & therapeutics2025

30 Hz Transcutaneous Auricular Vagus Nerve Stimulation Alleviates Abdominal Pain by Modulating EEG Activity in the α Frequency Band of the Brain.

Qinxian Huang, Qihan Li, Huan He, Qingchuan Zhao, Kai Yuan, Suping Cai

Abstract readLetter
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

6 authors.

Qinxian HuangXi'an International Medical Center Hospital, Xi'an, Shaanxi, People's Republic of China.ORCID 0009-0009-3006-0462
Qihan LiSchool of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China.
Huan HeXi'an International Medical Center Hospital, Xi'an, Shaanxi, People's Republic of China.
Qingchuan ZhaoNational Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, People's Republic of China.
Kai YuanSchool of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China.ORCID 0000-0002-3098-1124
Suping CaiSchool of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China.ORCID 0000-0001-8605-0874

Funding

Hospital-level project of Xi 'an International Medical Center Hospital 2024MS06National Natural Science Foundation of Shaanxi of China 2025JC-YBMS-863Xidian University Specially Funded for Interdisciplinary Exploration TZJH2024011Xidian University Specially Funded for Interdisciplinary Exploration TZJH2024017
6 · The paper itself

Abstract

Persistent abdominal pain (PAP) is linked to reduced prefrontal alpha oscillations, correlating with pain severity. Our study found that 30 Hz transcutaneous auricular vagus nerve stimulation (taVNS) effectively enhanced these alpha rhythms in key prefrontal regions and was selected for intervention. A 20-day 30 Hz taVNS treatment significantly alleviated pain and promoted the normalization of brain activity, demonstrating its potential as a non-pharmacological therapy for PAP.

Indexed as

Abdominal PainAlpha RhythmBrainTranscutaneous Electric Nerve StimulationVagus Nerve StimulationAdultElectroencephalographyFemaleHumansMaleMiddle Ageddorsomedial prefrontal cortexEEGlateral prefrontal cortexpersistent abdominal paintranscutaneous auricular vagus nerve stimulationα frequency band

Identifiers

PMID41169018
PMCPMC12575443

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.