Evidence map›Paper›PMID 40018415›Full record

ArticleNeurophotonics2025

Site- and electroencephalogram-frequency-specific effects of 800-nm prefrontal transcranial photobiomodulation on electroencephalogram global network topology in young adults.

Shu Kang, Lin Li, Sadra Shahdadian, Anqi Wu, Hanli Liu

Abstract read
In one paragraph

Article in Neurophotonics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Shu KangUniversity of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States.ORCID https://orcid.org/0009-0002-1235-6250
Lin LiUniversity of North Texas, Department of Biomedical Engineering, Denton, Texas, United States.
Sadra ShahdadianUniversity of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States.
Anqi WuUniversity of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States.
Hanli LiuUniversity of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States.ORCID https://orcid.org/0000-0002-9312-5691

Funding

Novel Neuromodulation by Transcranial Infrared Brain Stimulation with ImagingRF1MH114285 · NIMH · UNIVERSITY OF TEXAS ARLINGTON · PI GONZALEZ-LIMA, FRANCISCO, LIU, HANLI · 2017 to 2017
$2.9M
Digital biomarkers for Alzheimer's Disease with compact dual-mode brain sensingR21AG079309 · NIA · UNIVERSITY OF TEXAS ARLINGTON · PI LIU, HANLI · 2022 to 2022
$388k
NIA NIH HHS R21 AG079309NIMH NIH HHS RF1 MH114285
6 · The paper itself

Abstract

Significance: Transcranial photobiomodulation (tPBM) is an optical intervention that effectively enhances human cognition. However, limited studies have reported the effects of tPBM on electrophysiological brain networks. Aim: We aimed to investigate the site- and electroencephalogram (EEG)-frequency-specific effects of 800-nm prefrontal tPBM on the EEG global network topology of the human brain, so a better understanding of how tPBM alters EEG brain networks can be achieved. Approach: A total of 26 healthy young adults participated in the study, with multiple visits when either active or sham tPBM interventions were delivered to either the left or right forehead. A 19-channel EEG cap recorded the time series before and after the 8-min tPBM/sham. We used graph theory analysis (GTA) and formulated adjacency matrices in five frequency bands, followed by quantification of normalized changes in GTA-based global topographical metrics induced by the respective left and right tPBM/sham interventions. Results: Statistical analysis indicated that the effects of 800-nm prefrontal tPBM on the EEG global topological networks are both site- and EEG-frequency-dependent. Specifically, our results demonstrated that the left 800-nm tPBM primarily enhanced the alpha network efficiency and information transmission, whereas the right 800-nm tPBM augmented the clustering ability of the EEG topological networks and improved the formation of small-worldness of the beta waves across the entire brain. Conclusions: The study concluded that 800-nm prefrontal tPBM can enhance global connectivity patterns and information transmission in the human brain, with effects that are site- and EEG-frequency-specific. To further confirm and better understand these findings, future research should correlate post-tPBM cognitive assessments with EEG network analysis.

Indexed as

EEGelectroencephalographyfunctional brain networksglobal topographical metricsgraphical topologygraph theorytPBMtranscranial photobiomodulation

Identifiers

PMID40018415
PMCPMC11866628

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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.