Evidence map›Paper›PMID 40065078›Full record

ArticleScientific reports2025

Higher dominant muscle strength is mediated by motor unit discharge rates and proportion of common synaptic inputs.

Edoardo Lecce, Alessandro Del Vecchio, Stefano Nuccio, Francesco Felici, Ilenia Bazzucchi

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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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Edoardo Lecce *Laboratory of Exercise Physiology, Department of Movement, Human, and Health Sciences, University of Rome "Foro Italico", Rome, Italy.
Alessandro Del Vecchio *Department Artificial Intelligence in Biomedical Engineering, Faculty of Engineering, Zentralinstitut für Medizintechnik (ZIMT), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
Stefano NuccioLaboratory of Exercise Physiology, Department of Movement, Human, and Health Sciences, University of Rome "Foro Italico", Rome, Italy.
Francesco FeliciLaboratory of Exercise Physiology, Department of Movement, Human, and Health Sciences, University of Rome "Foro Italico", Rome, Italy.
Ilenia BazzucchiLaboratory of Exercise Physiology, Department of Movement, Human, and Health Sciences, University of Rome "Foro Italico", Rome, Italy. ilenia.bazzucchi@uniroma4.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural determinants explaining the asymmetrical force and skill observed in limb dominance still need to be comprehensively investigated. To address this gap, we recorded myoelectrical activity from biceps brachii using high-density surface electromyography in twenty participants, identifying the maximal voluntary force (MVF) and performing isometric ramp contractions at 35% and 70%MVF and sustained contractions at 10%MVF. Motor unit discharge characteristics were assessed during ramp contractions, the proportion of common synaptic input to motoneurons was calculated with coherence analysis, and the firing rate hysteresis (∆F) was used to estimate spinal motoneuron intrinsic properties. The dominant limbs presented a greater MVF compared to the non-dominant side (+ 9%, p = 0.001), with similar relative recruitment and derecruitment thresholds of motor units (p > 0.05). The discharge rate was significantly higher on the dominant side (p < 0.001), along with a greater proportion of common synaptic input (+ 14%, p = 0.002). No significant differences were observed in the ∆F (p > 0.05). Our findings suggest that greater strength on the dominant side is associated with higher neural drive to muscles due to a greater proportion of common synaptic inputs rather than differences in motoneuron intrinsic properties. These results underscore neural asymmetries at the motor unit level, corresponding to different mechanical outputs underlying limb dominance.

Indexed as

Motor NeuronsMuscle, SkeletalMuscle StrengthSynapsesAdultElectromyographyFemaleHumansIsometric ContractionMaleRecruitment, NeurophysiologicalYoung Adult

Identifiers

PMID40065078
PMCPMC11894131

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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.