Evidence map›Paper›PMID 42625834›Full record

SynthesisFrontiers in psychology2026

Effects of exercise interventions on EEG alpha power across different populations: a systematic review and meta-analysis.

Fujie Liu, Yifei Yang, Yingying Cao, Aiping Chi, Xiaoxiong He

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychology, 2026. 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.

Fujie LiuSchool of Physical Education, Shaanxi Normal University, Xi'an, China.
Yifei YangSchool of Physical Education, Shaanxi Normal University, Xi'an, China.
Yingying CaoSchool of Physical Education, Shaanxi Normal University, Xi'an, China.
Aiping ChiSchool of Physical Education, Shaanxi Normal University, Xi'an, China.
Xiaoxiong HeSchool of Physical Education, Shaanxi Normal University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study was to systematically evaluate the to evaluate the effects of exercise interventions on electroencephalogram (EEG) alpha-band power across different populations. Methods: PubMed, Embase, Scopus, the Cochrane Library, and Web of Science were searched from inception to June 25, 2026. Randomized controlled trials comparing an exercise intervention with a control condition and reporting EEG alpha-band power were included. Standardized mean differences were calculated as Hedges' g. Random-effects models using restricted maximum likelihood estimation and Knapp-Hartung adjustment were applied. Heterogeneity, prediction intervals, subgroup effects, intervention-duration meta-regression, influence diagnostics, recording-condition sensitivity analyses, and small-study effects were examined. Results: Thirteen randomized controlled trials involving 497 participants were included. Exercise interventions were associated with greater EEG alpha-band power than control conditions (Hedges' g = 1.23, 95% CI [0.44, 2.02], Conclusion: Exercise interventions were associated with greater EEG alpha-band power on average; however, the considerable heterogeneity and prediction interval crossing the null indicate substantial uncertainty across study settings. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/myprospero, CRD420251179061.

Indexed as

brain neural activityEEG power spectrumexercise interventionmeta-analysissystematic review

Identifiers

PMID42625834
PMCPMC13489911

What OpenQuestion holds

Textmetadata
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.