Evidence map›Paper›PMID 27695403›Full record

ArticleFrontiers in human neuroscience2016

Novel Methods to Enhance Precision and Reliability in Muscle Synergy Identification during Walking.

Yushin Kim, Thomas C Bulea, Diane L Damiano

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. How to improve the muscle synergy analysis methodology?European journal of applied physiology · 2021
    Review
  14. Article
  15. Muscle Synergies in Parkinson's Disease.Sensors (Basel, Switzerland) · 2020
    Review
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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

3 authors.

Yushin KimFunctional and Applied Biomechanics Section, Rehabilitation Medicine Department, National Institutes of Health, Bethesda MD, USA.
Thomas C BuleaFunctional and Applied Biomechanics Section, Rehabilitation Medicine Department, National Institutes of Health, Bethesda MD, USA.
Diane L DamianoFunctional and Applied Biomechanics Section, Rehabilitation Medicine Department, National Institutes of Health, Bethesda MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle synergies are hypothesized to reflect modular control of muscle groups via descending commands sent through multiple neural pathways. Recently, the number of synergies has been reported as a functionally relevant indicator of motor control complexity in individuals with neurological movement disorders. Yet the number of synergies extracted during a given activity, e.g., gait, varies within and across studies, even for unimpaired individuals. With no standardized methods for precise determination, this variability remains unexplained making comparisons across studies and cohorts difficult. Here, we utilize

Indexed as

coordinationmotor complexitymotor modulemuscle synergywalking

Identifiers

PMID27695403
PMCPMC5023666

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.