Evidence map›Paper›PMID 42793388›Full record

ReviewBrain sciences2026

Exercise Modulates Working Memory-Related Brain Activation Through Bidirectional Neural Mechanisms: An ALE Meta-Analysis of Longitudinal and Cross-Sectional fMRI Studies.

Jiayu Wang, Jun Wang, Wenshuang Tang

Abstract readReview
In one paragraph

Review in Brain sciences, 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

3 authors.

Jiayu WangSchool for Physical Education, Shanghai University of Sport, Shanghai 200438, China.
Jun WangFaculty for Physical Education, Shanghai International Studies University, 550 Dalian West Road, Hongkou District, Shanghai 200083, China.
Wenshuang TangSchool of Psychology, Shanghai University of Sport, 399 Changhai Road, Yangpu District, Shanghai 200438, China.ORCID 0009-0000-7348-055X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical exercise improves working memory (WM) across the lifespan, yet the neural mechanisms underlying this benefit remain incompletely understood, and it is unclear whether intervention-induced neuroplastic changes and long-term exercise-related differences converge on common neural circuits.

methodsWe systematically searched PubMed, Web of Science, PsycINFO, and CNKI through June 2026 and included 11 task-based fMRI studies (6 longitudinal interventions and 5 cross-sectional comparisons; 403 participants) reporting whole-brain activation coordinates. Activation likelihood estimation (ALE) meta-analyses were performed separately for activation increases and decreases within each design.

resultsLongitudinal studies revealed exercise-induced activation increases in the bilateral cerebellum (posterior lobe, cerebellar tonsil) and decreases in the right thalamus. Cross-sectional studies revealed greater activation in the left middle temporal gyrus (BA 21) and reduced activation in the right cingulate gyrus (BA 24) and left caudate body among long-term exercisers relative to controls. Critically, the two designs yielded spatially non-overlapping patterns.

conclusionsThese findings support a dual-mechanism model in which exercise strengthens task-positive network engagement while optimizing the suppression of task-irrelevant processing. They further suggest that exercise shapes working memory circuitry across distinct, timescale-dependent neural circuits.

Indexed as

activation likelihood estimationcerebellumdefault mode networkexercisefunctional magnetic resonance imaging (fMRI)task-positive networkworking memory

Identifiers

PMID42793388
PMCPMC13604198

What OpenQuestion holds

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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.