Evidence map›Paper›PMID 31611812›Full record

ArticleFrontiers in physiology2019

A Comprehensive Spatial Mapping of Muscle Synergies in Highly Variable Upper-Limb Movements of Healthy Subjects.

Alessandro Scano, Luca Dardari, Franco Molteni, Hermes Giberti, Lorenzo Molinari Tosatti, Andrea d'Avella

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Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

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38citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

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  7. Muscle synergies in upper limb stroke rehabilitation: a scoping review.European journal of physical and rehabilitation medicine · 2024
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  20. Muscle synergies in joystick manipulation.Frontiers in physiology · 2023
    Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alessandro ScanoInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, Milan, Italy.
Luca DardariDepartment of Mechanical Engineering, Polytechnic University of Milan, Milan, Italy.
Franco MolteniVilla Beretta Rehabilitation Center, Valduce Hospital, Costa Masnaga, Italy.
Hermes GibertiDepartment of Mechanical Engineering, Polytechnic University of Milan, Milan, Italy.
Lorenzo Molinari TosattiInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, Milan, 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

backgroundRecently, muscle synergy analysis has become a standard methodology for extracting coordination patterns from electromyographic (EMG) signals, and for the evaluation of motor control strategies in many contexts. Most previous studies have characterized upper-limb muscle synergies across a limited set of reaching movements. With the aim of future uses in motor control, rehabilitation and other fields, this study provides a comprehensive characterization of muscle synergies in a large set of upper-limb tasks and also considers inter-individual and environmental variability.

methodsSixteen healthy subjects performed upper-limb

resultsEven in a context of high variability, a reduced set of muscle synergies may reconstruct the original EMG envelopes. Composition, repeatability and similarity of synergies were found to be shared across subjects and sectors, even if at a lower extent than previously reported.

conclusionExtending the results of previous studies, which were performed on a smaller set of conditions, a limited number of muscle synergies underlie the execution of a large variety of upper-limb tasks. However, the considered spatial domain and the variability seem to influence the number and composition of muscle synergies. Such detailed characterization of the modular organization of the muscle patterns for upper-limb control in a large variety of tasks may provide a useful reference for studies on motor control, rehabilitation, industrial applications, and sports.

Indexed as

centroidsmotor controlmuscle synergiessynergies clusteringupper-limb workspace

Identifiers

PMID31611812
PMCPMC6777095

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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.