Evidence map›Paper›PMID 40781150›Full record

ArticleCommunications biology2025

Enhancing visual perception by modulating prestimulus alpha and beta power with tRNS.

Jinwen Wei, Huiru Zou, Qianyuan Tang, Ziqing Yao, Gan Huang, Zhen Liang, Li Zhang, Lijie Ren, Xiaodong Cai, Chen Yao and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 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

12 authors.

Jinwen WeiSchool of Intelligence Science and Engineering, Harbin Institute of Technology, Shenzhen, Guangdong, China.ORCID http://orcid.org/0000-0001-6514-2710
Huiru ZouSchool of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China.
Qianyuan TangDepartment of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, and Life Science Imaging Centre, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China.ORCID http://orcid.org/0000-0002-2821-0494
Ziqing YaoDepartment of Psychology, The University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-8639-4180
Gan HuangSchool of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China.
Zhen LiangSchool of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China.
Li ZhangSchool of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China.
Lijie RenDepartment of Neurology, Department of Neurosurgery, The National Key Clinic Specialty, Shenzhen Key Laboratory of Neurosurgery, the First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, and Shenzhen Clinical Research Center for Neurological Diseases, Shenzhen, China.
Xiaodong CaiDepartment of Neurology, Department of Neurosurgery, The National Key Clinic Specialty, Shenzhen Key Laboratory of Neurosurgery, the First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, and Shenzhen Clinical Research Center for Neurological Diseases, Shenzhen, China.
Chen YaoDepartment of Neurology, Department of Neurosurgery, The National Key Clinic Specialty, Shenzhen Key Laboratory of Neurosurgery, the First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, and Shenzhen Clinical Research Center for Neurological Diseases, Shenzhen, China.
Changsong ZhouDepartment of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, and Life Science Imaging Centre, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China.ORCID http://orcid.org/0000-0002-4130-0216
Zhiguo ZhangSchool of Intelligence Science and Engineering, Harbin Institute of Technology, Shenzhen, Guangdong, China. zhiguozhang@hit.edu.cn.ORCID http://orcid.org/0000-0001-7992-7965

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32361143787Shenzhen Science and Technology Innovation Commission ZDSYS20230626091203008, JCYJ20240813141105007, JCYJ20220818100213029
6 · The paper itself

Abstract

Visual variability is linked to prestimulus alpha (8-13 Hz) and beta (13-30 Hz) power fluctuations, yet their causal role remains unclear. Using transcranial random noise stimulation (tRNS), we tested whether externally modulating cortical excitability could influence these oscillations and alter perception. In a sham-controlled, within-subject design, 29 participants completed a visual detection task combined with electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) recordings. Mental fatigue was modelled as a state-dependent factor. tRNS, primarily under low fatigue, increased online oxyhemoglobin (HbO) amplitude, suppressed offline prestimulus alpha and beta power, and reduced offline visual contrast threshold (VCT), indicating enhanced perception. Further analyses revealed that fatigue influenced the oscillations' responsiveness to tRNS, and that under low fatigue, alpha power, more than beta, demonstrated greater functional sensitivity to VCT. These findings demonstrate that tRNS can improve perception by modulating alpha/beta oscillations in specific brain states, highlighting the role of brain state in neuromodulation efficacy.

Indexed as

Alpha RhythmBeta RhythmTranscranial Direct Current StimulationVisual PerceptionAdultBrainElectroencephalographyFemaleHumansMaleSpectroscopy, Near-InfraredYoung Adult

Identifiers

PMID40781150
PMCPMC12334615

What Socratic holds

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LicenceCC BY
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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 Socratic graph.