Evidence map›Paper›PMID 40979155›Full record

ArticleFrontiers in aging neuroscience2025

Muscle strength, EEG biomarkers, and working memory as interacting predictors of cognitive function in cognitively impaired older adults.

Yagang Song, Shuqi Jia, Xing Wang, Aiwei Wang, Shufan Li, Feng Ding, Tao Ma, Xueping Wu

Abstract read
In one paragraph

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

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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

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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

8 authors.

Yagang SongDepartment of Physical Education Teaching, Shanghai Sanda University, Shanghai, China.
Shuqi JiaSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Xing WangSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Aiwei WangCollege of Physical Education, Yangzhou University, Yangzhou, China.
Shufan LiSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Feng DingSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Tao MaFaculty of Sports Science Ningbo University, Ningbo, China.
Xueping WuSchool of Physical Education, Shanghai University of Sport, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive decline in older adults is a pressing public health concern, with emerging evidence suggesting that both muscle strength and neural function may influence cognitive outcomes. However, the integrative mechanisms linking these domains remain insufficiently understood. Objective: This study aimed to explore whether resting-state EEG characteristics and working memory mediate the relationship between muscle strength and global cognitive function in older adults with cognitive impairment. Methods: A cross-sectional study was conducted among 137 older adults (mean age = 72.65 ± 7.75) with cognitive impairment. Muscle strength was assessed using grip strength and 30 s chair stand tests. Resting-state EEG power across six frequency bands was recorded from 16 electrodes. Working memory was evaluated using a two-back task, and cognitive function was assessed via the MoCA. Mediation analyses were performed using the PROCESS macro (Model 4), controlling for age, sex, education, and BMI. Results: Grip strength showed significant direct effects on cognitive function ( Conclusion: This study highlights the distinct mediating roles of working memory and EEG features in the muscle strength-cognition relationship. Grip strength, as a potential biomarker, may reflect central nervous system integrity and serve as a target for cognitive health interventions in aging populations.

Indexed as

cognitive functioncognitive impairmentEEG characteristicsmuscle strengthworking memory

Identifiers

PMID40979155
PMCPMC12443566

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.