Evidence map›Paper›PMID 38886363›Full record

ArticleScientific reports2024

A tensor decomposition reveals ageing-induced differences in muscle and grip-load force couplings during object lifting.

Chang Ye, Seyed Saman Saboksayr, William Shaw, Rachel O Coats, Sarah L Astill, Gonzalo Mateos, Ioannis Delis

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Chang YeDepartment of Electrical and Computer Engineering, University of Rochester, Rochester, 14620, USA.
Seyed Saman SaboksayrDepartment of Electrical and Computer Engineering, University of Rochester, Rochester, 14620, USA.
William ShawSchool of Biomedical Sciences, University of Leeds, Leeds, LS2 9JT, UK.
Rachel O CoatsSchool of Psychology, University of Leeds, Leeds, LS2 9JT, UK.
Sarah L Astill *School of Biomedical Sciences, University of Leeds, Leeds, LS2 9JT, UK.
Gonzalo Mateos *Department of Electrical and Computer Engineering, University of Rochester, Rochester, 14620, USA. gmateosb@ece.rochester.edu.
Ioannis Delis *School of Biomedical Sciences, University of Leeds, Leeds, LS2 9JT, UK. i.delis@leeds.ac.uk.

Funding

Royal Society RGS\R2\192224
6 · The paper itself

Abstract

Do motor patterns of object lifting movements change as a result of ageing? Here we propose a methodology for the characterization of these motor patterns across individuals of different age groups. Specifically, we employ a bimanual grasp-lift-replace protocol with younger and older adults and combine measurements of muscle activity with grip and load forces to provide a window into the motor strategies supporting effective object lifts. We introduce a tensor decomposition to identify patterns of muscle activity and grip-load force ratios while also characterizing their temporal profiles and relative activation across object weights and participants of different age groups. We then probe age-induced changes in these components. A classification analysis reveals three motor components that are differentially recruited between the two age groups. Linear regression analyses further show that advanced age and poorer manual dexterity can be predicted by the coupled activation of forearm and hand muscles which is associated with high levels of grip force. Our findings suggest that ageing may induce stronger muscle couplings in distal aspects of the upper limbs, and a less economic grasping strategy to overcome age-related decline in manual dexterity.

Indexed as

AgingHand StrengthLiftingMuscle, SkeletalAdultAgedBiomechanical PhenomenaElectromyographyFemaleHandHumansMaleMiddle AgedYoung Adult

Identifiers

PMID38886363
PMCPMC11183154

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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.