Evidence map›Paper›PMID 40892220›Full record

ArticleExperimental brain research2025

Neuromuscular control of a five-finger pinch task is influenced by training history.

Dylan J Carter, James R Forsyth, Joshua P M Mattock, Jonathan Shemmell

Abstract read
In one paragraph

Article in Experimental brain research, 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

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

4 authors.

Dylan J CarterNeuromotor Adaptation Laboratory, Faculty of Science, Medicine, and Health, School of Medical, Indigenous, and Health Sciences, University of Wollongong, Northfields Avenue, Wollongong, 2522, NSW, Australia. dcarter@uow.edu.au.ORCID http://orcid.org/0009-0004-0273-3272
James R ForsythBiomechanics Research Laboratory, Faculty of Science, Medicine, and Health, School of Medical, Indigenous, and Health Sciences, University of Wollongong, Northfields Avenue, Wollongong, 2522, NSW, Australia.ORCID http://orcid.org/0000-0003-1980-2401
Joshua P M MattockBiomechanics Research Laboratory, Faculty of Science, Medicine, and Health, School of Medical, Indigenous, and Health Sciences, University of Wollongong, Northfields Avenue, Wollongong, 2522, NSW, Australia.ORCID http://orcid.org/0000-0002-9550-7298
Jonathan ShemmellNeuromotor Adaptation Laboratory, Faculty of Science, Medicine, and Health, School of Medical, Indigenous, and Health Sciences, University of Wollongong, Northfields Avenue, Wollongong, 2522, NSW, Australia.ORCID http://orcid.org/0000-0002-4575-133X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hand control for dexterous and strength-based tasks involves several levels of the neuromuscular system which interact to produce force. We investigated hand force, motor unit (MU) control, and intermuscular coherence in specialist-trained groups to identify how training may affect neuromuscular force control and motor neuron activity. Equal groups of ten strength-trained (rock climbers) and dexterity-trained (musicians) individuals participated. Measures of forearm muscle structure were recorded and used to normalize maximal five-finger pinch force. Several submaximal trapezoidal pinch contractions were performed while force and electromyography (EMG) were recorded, and force steadiness was calculated. Motor unit firing rates were calculated from spike trains identified by surface EMG decomposition. Intermuscular coherence was calculated between two muscles controlling the hand (the abductor pollicis brevis and flexor digitorum superificialis), providing an estimate of the common synaptic inputs to these simultaneously activated muscles. Strength-trained participants had a higher force capacity (even when normalized to muscle size) and were steadier at controlling forces. The dexterity-trained group had faster MU discharge rates in the abductor pollicis brevis muscle at moderate force levels. Measures of synaptic inputs to the motor neuron pools were inconsistent. However, the largest peaks in the beta-band were at the lowest measured force level for the dexterity-trained group, while at the highest force intensity for the strength-trained group. These findings may indicate that the neuromuscular control of hand force differs between groups with different training histories.

Indexed as

FingersHand StrengthMotor SkillsMuscle, SkeletalPinch StrengthAdultElectromyographyFemaleHumansMaleMotor NeuronsMuscle ContractionYoung AdultBeta-band coherenceDexterityElectromyographyIntermuscular coherenceMotor unitsResistance trainingSynaptic input

Identifiers

PMID40892220
PMCPMC12405043

What OpenQuestion holds

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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 OpenQuestion graph.