Evidence map›Paper›PMID 29849101›Full record

ArticleScientific reports2018

Deciphering the functional role of spatial and temporal muscle synergies in whole-body movements.

Ioannis Delis, Pauline M Hilt, Thierry Pozzo, Stefano Panzeri, Bastien Berret

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

22 citing papers in PubMed.

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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

5 authors.

Ioannis DelisSchool of Biomedical Sciences, University of Leeds, Leeds, LS2 9JT, United Kingdom. i.delis@leeds.ac.uk.ORCID 0000-0001-8940-5036
Pauline M HiltINSERM, U1093, Cognition Action Plasticité Sensorimotrice, Universite de Bourgogne, Dijon, France.ORCID 0000-0001-7745-3524
Thierry PozzoINSERM, U1093, Cognition Action Plasticité Sensorimotrice, Universite de Bourgogne, Dijon, France.
Stefano PanzeriNeural Computation Laboratory, Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia, Via Bettini 31, 38068, Rovereto, (TN), Italy.ORCID 0000-0003-1700-8909
Bastien BerretCIAMS, Univ. Paris-Sud, Université Paris-Saclay, 91405, Orsay, Cedex, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Voluntary movement is hypothesized to rely on a limited number of muscle synergies, the recruitment of which translates task goals into effective muscle activity. In this study, we investigated how to analytically characterize the functional role of different types of muscle synergies in task performance. To this end, we recorded a comprehensive dataset of muscle activity during a variety of whole-body pointing movements. We decomposed the electromyographic (EMG) signals using a space-by-time modularity model which encompasses the main types of synergies. We then used a task decoding and information theoretic analysis to probe the role of each synergy by mapping it to specific task features. We found that the temporal and spatial aspects of the movements were encoded by different temporal and spatial muscle synergies, respectively, consistent with the intuition that there should a correspondence between major attributes of movement and major features of synergies. This approach led to the development of a novel computational method for comparing muscle synergies from different participants according to their functional role. This functional similarity analysis yielded a small set of temporal and spatial synergies that describes the main features of whole-body reaching movements.

Indexed as

MovementAdultElectromyographyFemaleHumansMaleMuscle, SkeletalSpatio-Temporal Analysis

Identifiers

PMID29849101
PMCPMC5976658

What OpenQuestion holds

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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.