Evidence map›Paper›PMID 32267198›Full record

ArticleJournal of neurophysiology2020

When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance.

Victor R Barradas, Jason J Kutch, Toshihiro Kawase, Yasuharu Koike, Nicolas Schweighofer

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

29 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Neuromotor modules revealed by direct electrical stimulation of the human primary motor cortex.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Estimating Muscle Parameters via Hierarchical Bayesian Neuromechanics.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
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  11. Self-Organizing Recruitment of Compensatory Cortical Areas Post-Stroke Can Maximize Residual Motor Performance.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
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  18. Neuromuscular control: from a biomechanist's perspective.Frontiers in sports and active living · 2023
    Review
  19. "Frontiers in sports and active living · 2023
    Article
  20. 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

5 authors at 2 institutions in 2 countries.

Victor R BarradasBiomedical Engineering, University of Southern California, Los Angeles, California.ORCID 0000-0003-3655-8770
Jason J KutchBiokinesiology and Physical Therapy, University of Southern California, Los Angeles, California.
Toshihiro KawaseInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Yasuharu KoikeInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Nicolas SchweighoferBiokinesiology and Physical Therapy, University of Southern California, Los Angeles, California.
University of Southern California · USTokyo Institute of Technology · JP

Funding

Sensorimotor impairments in men with Chronic Prostatitis/Chronic Pelvic Pain Syndrome: relationship of resting state brain activity to pelvic floor muscle activationR01DK110669 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KUTCH, JASON J. · 2017 to 2020
$1.3M
Optimizing sensori-motor training post-strokeR56NS100528 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHWEIGHOFER, NICOLAS · 2017 to 2017
$483k
NIDDK NIH HHS R01 DK110669NINDS NIH HHS R56 NS100528
6 · The paper itself

Abstract

Muscle synergies are usually identified via dimensionality reduction techniques, such that the identified synergies reconstruct the muscle activity to an accuracy level defined heuristically, often set to 90% of the variance. Here, we question the assumption that the residual muscle activity not explained by the synergies is due to noise. We hypothesize instead that the residual activity is not entirely random and can influence the execution of motor tasks. Young healthy subjects performed an isometric reaching task in which the surface electromyography of 10 arm muscles was mapped onto a two-dimensional force used to control a cursor. Three to five synergies explained 90% of the variance in muscle activity. We altered the muscle-force mapping via "hard" and "easy" virtual surgeries. Whereas in both surgeries the forces associated with synergies spanned the same dimension of the virtual environment, the muscle-force mapping was as close as possible to the initial mapping in the easy surgery; in contrast, it was as far as possible in the hard surgery. This design maximized potential differences in reaching errors attributable to residual activity. Results show that the easy surgery produced smaller directional errors than the hard surgery. Additionally, simulations of surgeries constructed with 1 to 10 synergies show that the errors in the easy and hard surgeries differ significantly for up to 8 synergies, which explains 98% of the variance on average. Our study thus indicates the need for cautious interpretations of results derived from synergy extraction techniques based on heuristics with lenient accuracy levels.

Indexed as

AdultArmBiomechanical PhenomenaElectromyographyFemaleHumansIsometric ContractionMaleMotor ActivityMuscle, SkeletalPsychomotor PerformanceYoung Adultmuscle synergiesresidualsvirtual surgeries

Identifiers

PMID32267198
PMCPMC7311728
OpenAlexW3014516234

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.