Evidence map›Paper›PMID 41281379›Full record

ArticleFrontiers in neural circuits2025

Frequency-specific intermuscular coherence of synergistic muscles during an isometric force generation task.

Daniele Borzelli, Alberto Cacciola, Carlo Vittorio Cannistraci, Angelo Alito, Demetrio Milardi, Andrea d'Avella

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 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

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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

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

6 authors.

Daniele Borzelli *Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy.
Alberto Cacciola *Department of Biomedical Sciences, Humanitas University, Pieve Emanuele/Milan, Italy.
Carlo Vittorio CannistraciTsinghua Laboratory of Brain and Intelligence (THBI), Department of Psychological and Cognitive Sciences, Center for Complex Network Intelligence (CCNI), Tsinghua University, Beijing, China.
Angelo AlitoBrain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy.
Demetrio MilardiBrain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy.
Andrea d'AvellaLaboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Motor tasks require the flexible selection and coordination of multiple muscles, which may be achieved through the organization and combination of muscle synergies. Although multiple muscles may receive a shared neural drive, and each muscle may also receive distinct neural inputs, there is ongoing debate about whether synergies accurately reflect shared neural drives. This study aimed to compare the spectral characteristics of the common drive shared among muscles within the same synergy to those shared among muscles belonging to different synergies. Methods: Electromyographic signals were recorded from upper limb muscles during an isometric multi-directional force generation task. Synergies were identified using non-negative matrix factorization (NMF), and coherence analysis was conducted to evaluate common drives among muscles within and across synergies. A methodological limitation of previous studies was to segment muscle activity into standard frequency bands. Here, we overcome it by proposing to automatically detect subject-specific and physiologically relevant frequency layers. The application of NMF on the coherence spectra of muscle pairs as a method for automatically detecting physiologically relevant frequency bands sheds light into the neural basis of muscle coordination. Results: Six frequency layers were identified, and muscle recruited within the same synergy showed a higher coherence within layers in the delta, alpha, and low-beta bands. Discussion: Our findings enhance the understanding of physiological mechanisms of motor coordination by elucidating the relationship between muscle synergies and the spectral characteristics of intermuscular coherence.

Indexed as

Isometric ContractionMuscle, SkeletalPsychomotor PerformanceAdultElectromyographyFemaleHumansMaleYoung Adultalpha bandfrequency layerslow-beta bandmotor modulesmuscle coordinationmuscle-muscle coherencenon-negative matrix factorizationtri-dimensional force

Identifiers

PMID41281379
PMCPMC12634596

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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.