Evidence map›Paper›PMID 29589812›Full record

ReviewJournal of neurophysiology2018

Muscle coactivation: definitions, mechanisms, and functions.

Mark L Latash

Abstract readReview
In one paragraph

Review in Journal of neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 3 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

139 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  12. Mental tasks induce common modulations of oscillations in cortex and spinal cord.Journal of neuroengineering and rehabilitation · 2026
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79 more citing papers are in PubMed but not listed here.

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

1 author.

Mark L LatashDepartment of Kinesiology, The Pennsylvania State University , University Park, Pennsylvania.

Funding

Indices of Motor Synergies as Early Biomarkers of Parkinson's DiseaseR21NS095873 · NINDS · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUANG, XUEMEI, LATASH, MARK L · 2016 to 2017
$423k
NINDS NIH HHS R21 NS095873
6 · The paper itself

Abstract

The phenomenon of agonist-antagonist muscle coactivation is discussed with respect to its consequences for movement mechanics (such as increasing joint apparent stiffness, facilitating faster movements, and effects on action stability), implication for movement optimization, and involvement of different neurophysiological structures. Effects of coactivation on movement stability are ambiguous and depend on the effector representing a kinematic chain with a fixed origin or free origin. Furthermore, coactivation is discussed within the framework of the equilibrium-point hypothesis and the idea of hierarchical control with spatial referent coordinates. Relations of muscle coactivation to changes in one of the basic commands, the c-command, are discussed and illustrated. A hypothesis is suggested that agonist-antagonist coactivation reflects a deliberate neural control strategy to preserve effector-level control and avoid making it degenerate and facing the necessity to control at the level of signals to individual muscles. This strategy, in particular, allows stabilizing motor actions by covaried adjustments in spaces of control variables. This hypothesis is able to account for higher levels of coactivation in young healthy persons performing challenging tasks and across various populations with movement impairments.

Indexed as

Muscle ContractionAnimalsBiomechanical PhenomenaHumansModels, NeurologicalMuscle, SkeletalSpinal Cordagonist-antagonistapparent stiffnesscoactivationreferent coordinatestabilitysynergy

Identifiers

PMID29589812
PMCPMC6093955

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.