Evidence map›Paper›PMID 41413439›Full record

ArticleScientific reports2025

Resting-state EEG dual biomarker for motor-cognitive function in elderly individuals.

Yerim Huh, Jimin Jung, Woohee Han, Hyunjin Kim, Roneel V Sharan, Jungsoo Lee, Minji Lee

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Yerim Huh *Department of Healthcare and Artificial Intelligence, The Catholic University of Korea, Bucheon, Gyeonggi, 14662, Republic of Korea.
Jimin Jung *Department of Healthcare and Artificial Intelligence, The Catholic University of Korea, Bucheon, Gyeonggi, 14662, Republic of Korea.
Woohee HanDepartment of Biomedical Engineering, Kumoh National Institute of Technology, Gumi, Gyeongsangbuk, 39253, Republic of Korea.
Hyunjin KimDepartment of Biomedical Engineering, Kumoh National Institute of Technology, Gumi, Gyeongsangbuk, 39253, Republic of Korea.
Roneel V SharanSchool of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, United Kingdom.
Jungsoo LeeDepartment of Biomedical Engineering, Kumoh National Institute of Technology, Gumi, Gyeongsangbuk, 39253, Republic of Korea. jungsoo@kumoh.ac.kr.
Minji LeeDepartment of Healthcare and Artificial Intelligence, The Catholic University of Korea, Bucheon, Gyeonggi, 14662, Republic of Korea. minjilee@catholic.ac.kr.

Funding

Ministry of Science and ICT, South Korea IITP-RS-2024-00438207National Research Foundation of Korea RS-2023-00208884
6 · The paper itself

Abstract

Aging is often accompanied by declines in both motor and cognitive functions, yet neurophysiological biomarkers that jointly reflect these changes remain poorly understood. Previous electroencephalography (EEG) studies have largely focused on either motor or cognitive impairment separately, limiting insights into their combined neural underpinnings. To address this gap, we examined spectral and spatial EEG features associated with both motor and cognitive function in elderly individuals during eyes-open and eyes-closed resting-states. Using power spectral density metrics across canonical frequency bands and rank-based analyses controlling for age and sex, we identified significant motor × cognition interactions, predominantly in the beta band. Post-hoc and partial correlation analyses revealed that beta activity was positively associated with motor performance but negatively with cognitive performance after covariate adjustment. These findings suggest that beta oscillations capture overlapping motor-cognitive alterations in aging and may serve as potential electrophysiological biomarkers for early detection and intervention.

Indexed as

AgingCognitionElectroencephalographyRestAgedAged, 80 and overBiomarkersFemaleHumansMaleMiddle AgedBiomarkersAgingDual biomarkerElectroencephalography (EEG)Motor–cognitive functionResting-State EEG

Identifiers

PMID41413439
PMCPMC12714796

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.