Evidence map›Paper›PMID 42088294›Full record

ArticleFrontiers in aging neuroscience2026

Resting-state brain activity and association with physical activity.

Georgia Koromila, Martin Dyrba, Dominik Wolf, Florian Fischer, Kristel Knaepen, Bianca Kollmann, Harald Binder, Andreas Mierau, David Riedel, Andreas Fellgiebel and 3 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 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
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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

13 authors.

Georgia Koromila *German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany.
Martin Dyrba *German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany.
Dominik WolfDepartment of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Florian FischerDepartment of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Kristel KnaepenInstitute of Movement and Neurosciences, German Sport University Cologne, Cologne, Germany.
Bianca KollmannLeibniz Institute for Resilience Research (LIR), Mainz, Germany.
Harald BinderInstitute of Medical Biometry and Statistics (IMBI), University Medical Center Freiburg, Freiburg, Germany.
Andreas MierauInstitute of Movement and Neurosciences, German Sport University Cologne, Cologne, Germany.
David RiedelInstitute of Movement and Neurosciences, German Sport University Cologne, Cologne, Germany.
Andreas FellgiebelDepartment of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Oliver TüscherDepartment of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Stefan TeipelGerman Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany.
Sofia FarazaDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center Rostock, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Normal aging is associated with alterations of functional connectivity in brain neuronal networks. Altered network connectivity may be associated with accelerated cognitive decline. Physical activity is considered a beneficial lifestyle factor for maintaining cognitive health. Higher intensities of physical activity may induce structural and functional changes in the brain, particularly in regions involved in cognitive functions. However, the underlying neural mechanisms are not widely investigated. Our aim was to examine the association between resting-state functional connectivity of brain networks previously associated with cognitive and motor functions, physical activity and cognitive performance in healthy older adults. Methods: We analyzed resting-state fMRI, physical activity and neuropsychological data of 149 healthy older adults (mean age: 68 years). Physical activity was measured by using actigraphs worn for 7 days and categorized into moderate-to-vigorous activity. Euclidean norm minus one values used to represent mean overall physical activity. We used a hypothesis driven seed-based approach and data-driven independent component analysis to examine brain network activity of Results: No significant associations were found in the seed-based analyses. The independent component analyses showed spatially restricted effects of moderate-to-vigorous physical activity in frontal regions of the default mode and salience networks, at Conclusion: Different physical activity intensities were not significantly associated with resting-state functional connectivity of various brain networks in a sample of healthy older adults. This finding contrasts with the results of previous cross-sectional studies.

Indexed as

accelerometersactigraphyhealthy agingphysical activityresting-state functional connectivity

Identifiers

PMID42088294
PMCPMC13136082

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