Evidence map›Paper›PMID 30150687›Full record

ArticleScientific reports2018

Complex Upper-Limb Movements Are Generated by Combining Motor Primitives that Scale with the Movement Size.

Jose Garcia Vivas Miranda, Jean-François Daneault, Gloria Vergara-Diaz, Ângelo Frederico Souza de Oliveira E Torres, Ana Paula Quixadá, Marcus de Lemos Fonseca, João Paulo Bomfim Cruz Vieira, Vitor Sotero Dos Santos, Thiago Cruz da Figueiredo, Elen Beatriz Pinto and 2 more

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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Advancing Wearable-Based Upper-Limb Stroke Recovery Assessment to the Clinic: A Comparison of Movement Segmentation Strategies.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
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  7. The impact of intrinsic muscle properties on simulated reaching performance.Computer methods in biomechanics and biomedical engineering · 2023
    Article
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  11. Article
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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

12 authors.

Jose Garcia Vivas MirandaInstitute of Physics, Laboratory of Biosystems, Universidade Federal da Bahia, Salvador, BA, Brazil. vivas@ufba.br.ORCID 0000-0002-7752-8319
Jean-François DaneaultDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA.ORCID 0000-0002-8530-1827
Gloria Vergara-DiazDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA.ORCID 0000-0003-1072-1322
Ângelo Frederico Souza de Oliveira E TorresInstitute of Physics, Laboratory of Biosystems, Universidade Federal da Bahia, Salvador, BA, Brazil.ORCID 0000-0002-5941-5492
Ana Paula QuixadáInstitute of Physics, Laboratory of Biosystems, Universidade Federal da Bahia, Salvador, BA, Brazil.ORCID 0000-0002-7399-0645
Marcus de Lemos FonsecaFaculdade Social da Bahia, Salvador, BA, Brazil.
João Paulo Bomfim Cruz VieiraInstitute of Physics, Laboratory of Biosystems, Universidade Federal da Bahia, Salvador, BA, Brazil.ORCID 0000-0003-2091-8612
Vitor Sotero Dos SantosInstitute of Physics, Laboratory of Biosystems, Universidade Federal da Bahia, Salvador, BA, Brazil.ORCID 0000-0002-7548-7381
Thiago Cruz da FigueiredoInstitute of Physics, Laboratory of Biosystems, Universidade Federal da Bahia, Salvador, BA, Brazil.ORCID 0000-0001-5614-8424
Elen Beatriz PintoMotor Behavior and Neurorehabilitation Research Group, Bahiana School of Medicine and Public Health, Salvador, BA, Brazil.ORCID 0000-0003-3753-923X
Norberto PeñaInstitute of Physics, Laboratory of Biosystems, Universidade Federal da Bahia, Salvador, BA, Brazil.
Paolo BonatoDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA.ORCID 0000-0002-1818-1714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hand trajectory of motion during the performance of one-dimensional point-to-point movements has been shown to be marked by motor primitives with a bell-shaped velocity profile. Researchers have investigated if motor primitives with the same shape mark also complex upper-limb movements. They have done so by analyzing the magnitude of the hand trajectory velocity vector. This approach has failed to identify motor primitives with a bell-shaped velocity profile as the basic elements underlying the generation of complex upper-limb movements. In this study, we examined upper-limb movements by analyzing instead the movement components defined according to a Cartesian coordinate system with axes oriented in the medio-lateral, antero-posterior, and vertical directions. To our surprise, we found out that a broad set of complex upper-limb movements can be modeled as a combination of motor primitives with a bell-shaped velocity profile defined according to the axes of the above-defined coordinate system. Most notably, we discovered that these motor primitives scale with the size of movement according to a power law. These results provide a novel key to the interpretation of brain and muscle synergy studies suggesting that human subjects use a scale-invariant encoding of movement patterns when performing upper-limb movements.

Indexed as

AdultHumansMaleModels, MolecularModels, NeurologicalMovementPsychomotor PerformanceUpper ExtremityYoung Adult

Identifiers

PMID30150687
PMCPMC6110807

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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.