Evidence map›Paper›PMID 32193492›Full record

ArticleScientific reports2020

Corticomuscular interactions during different movement periods in a multi-joint compound movement.

Rouven Kenville, Tom Maudrich, Carmen Vidaurre, Dennis Maudrich, Arno Villringer, Vadim V Nikulin, Patrick Ragert

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
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  14. Feature stability and setup minimization for EEG-EMG-enabled monitoring systems.EURASIP journal on advances in signal processing · 2022
    Article
  15. Gait-Phase Modulates Alpha and Beta Oscillations in the Pedunculopontine Nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
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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

7 authors.

Rouven KenvilleInstitute for General Kinesiology and Exercise Science, Faculty of Sports Science, University of Leipzig, D-04109, Leipzig, Germany. kenville@cbs.mpg.de.
Tom MaudrichInstitute for General Kinesiology and Exercise Science, Faculty of Sports Science, University of Leipzig, D-04109, Leipzig, Germany.
Carmen VidaurreDpt. of Statistics, Informatics and Mathematics, Public University of Navarre, Pamplona, 31006, Spain.
Dennis MaudrichMax Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, D-04103, Leipzig, Germany.
Arno VillringerMax Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, D-04103, Leipzig, Germany.
Vadim V NikulinMax Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, D-04103, Leipzig, Germany.
Patrick RagertInstitute for General Kinesiology and Exercise Science, Faculty of Sports Science, University of Leipzig, D-04109, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While much is known about motor control during simple movements, corticomuscular communication profiles during compound movement control remain largely unexplored. Here, we aimed at examining frequency band related interactions between brain and muscles during different movement periods of a bipedal squat (BpS) task utilizing regression corticomuscular coherence (rCMC), as well as partial directed coherence (PDC) analyses. Participants performed 40 squats, divided into three successive movement periods (Eccentric (ECC), Isometric (ISO) and Concentric (CON)) in a standardized manner. EEG was recorded from 32 channels specifically-tailored to cover bilateral sensorimotor areas while bilateral EMG was recorded from four main muscles of BpS. We found both significant CMC and PDC (in beta and gamma bands) during BpS execution, where CMC was significantly elevated during ECC and CON when compared to ISO. Further, the dominant direction of information flow (DIF) was most prominent in EEG-EMG direction for CON and EMG-EEG direction for ECC. Collectively, we provide novel evidence that motor control during BpS is potentially achieved through central motor commands driven by a combination of directed inputs spanning across multiple frequency bands. These results serve as an important step toward a better understanding of brain-muscle relationships during multi joint compound movements.

Indexed as

AdultElectroencephalographyElectromyographyHumansIsometric ContractionJointsMaleMotor CortexMovementMuscle, SkeletalSensorimotor CortexYoung Adult

Identifiers

PMID32193492
PMCPMC7081206

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.