Evidence map›Paper›PMID 38732926›Full record

ArticleSensors (Basel, Switzerland)2024

Rectified Latent Variable Model-Based EMG Factorization of Inhibitory Muscle Synergy Components Related to Aging, Expertise and Force-Tempo Variations.

Subing Huang, Xiaoyu Guo, Jodie J Xie, Kelvin Y S Lau, Richard Liu, Arthur D P Mak, Vincent C K Cheung, Rosa H M Chan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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. Article
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.

Subing HuangDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong, China.
Xiaoyu GuoDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong, China.
Jodie J XieSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0003-0863-1010
Kelvin Y S LauSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-3083-479X
Richard LiuDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong, China.
Arthur D P MakDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Vincent C K CheungSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-6031-7320
Rosa H M ChanDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0003-4808-2490

Funding

the Research Grants Council of the Hong Kong Special Administrative Region, China R4022-18
6 · The paper itself

Abstract

Muscle synergy has been widely acknowledged as a possible strategy of neuromotor control, but current research has ignored the potential inhibitory components in muscle synergies. Our study aims to identify and characterize the inhibitory components within motor modules derived from electromyography (EMG), investigate the impact of aging and motor expertise on these components, and better understand the nervous system's adaptions to varying task demands. We utilized a rectified latent variable model (RLVM) to factorize motor modules with inhibitory components from EMG signals recorded from ten expert pianists when they played scales and pieces at different tempo-force combinations. We found that older participants showed a higher proportion of inhibitory components compared with the younger group. Senior experts had a higher proportion of inhibitory components on the left hand, and most inhibitory components became less negative with increased tempo or decreased force. Our results demonstrated that the inhibitory components in muscle synergies could be shaped by aging and expertise, and also took part in motor control for adapting to different conditions in complex tasks.

Indexed as

AgingElectromyographyMuscle, SkeletalAdultAgedFemaleHumansMaleMiddle AgedYoung Adultinhibitorymotor controlmuscle synergypiano playingrectified latent variable model

Identifiers

PMID38732926
PMCPMC11086352

What OpenQuestion holds

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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 OpenQuestion graph.