Evidence map›Paper›PMID 40726105›Full record

ArticleThe Journal of physiology2025

State-dependent neural representations of muscle synergies in the spinal cord revealed by optogenetic stimulation.

Borong He, Paola Salmas, Jing Zhang, Xiaojie Duan, Vincent C K Cheung

Abstract read
In one paragraph

Article in The Journal of physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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
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.

Borong HeSchool of Biomedical Sciences, Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China.ORCID 0000-0001-6530-7335
Paola SalmasSchool of Biomedical Sciences, Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China.
Jing ZhangThe James Franck Institute, The University of Chicago, Chicago, Illinois, USA.
Xiaojie DuanDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China.
Vincent C K CheungSchool of Biomedical Sciences, Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China.ORCID 0000-0002-6031-7320

Funding

Research Grants Council, University Grants Committee 14 114 721Research Grants Council, University Grants Committee 14 119 022Research Grants Council, University Grants Committee N_CUHK456/21Research Grants Council, University Grants Committee R4022-18The Chinese University of Hong Kong, Faculty of Medicine Direct Grants 2020.095The Chinese University of Hong Kong, Faculty of Medicine Direct Grants 2021.065The Chinese University of Hong Kong, Faculty of Medicine Direct Grants C7
6 · The paper itself

Abstract

The central nervous system controls movement by combining neuromotor modules, known as muscle synergies. Previous studies suggest that spinal premotor interneurons (PreM-INs) contribute to the encoding of stable muscle synergies for voluntary movement. But descending and sensory inputs also influence motor outputs through the spinal interneuronal network, which may be configured by its inputs to encode different sets of muscle synergies depending on the network state, thereby recruiting different selections of synergies. Here we tested this possibility of state-dependent synergy encoding by examining the muscle synergies represented by the same upstream spinal interneurons under different activity states induced by various optogenetic stimulation patterns. Lumbosacral spinal units and electromyographic (EMG) activities of hindlimb muscles were simultaneously recorded from anaesthetized Thy1-ChR2 mice as the spinal cord was stimulated by one or two optic fibres at different intensities. The synergy encoded by each unit was revealed as a 'muscle field' derived from spike-triggered averages of EMG, whereas the entire muscle synergy set was factorized from the EMG. We found that although the muscle synergy set remained stable across stimulation conditions, the muscle fields of the same units were matched to different synergies within the set in different states. Thus the interneurons may flexibly adjust their connectivity with the motoneurons of the muscles as descending and sensory afferents impose different states on the spinal network. State-dependent encoding of muscle synergies may allow different synergies to be selected for producing stable movement in an ever-changing workspace environment. KEY POINTS: Muscle synergies for locomotion can be represented by spinal interneurons, as revealed by the interneurons' muscle fields derived from spike-triggered averages of EMG. The muscle field of a single spinal interneuron may vary under different stimulation conditions, as demonstrated by optogenetic stimulation. Encoding of muscle synergies is dependent on the state of spinal activities, thus facilitating the selection of appropriate synergies in different dynamic environments.

Indexed as

InterneuronsMuscle, SkeletalSpinal CordAnimalsElectromyographyFemaleHindlimbMaleMiceMice, Inbred C57BLMice, TransgenicMotor NeuronsOptogeneticselectrophysiologylocomotionmuscle activitymuscle synergiesoptogenetic stimulationspinal cord

Identifiers

PMID40726105
PMCPMC12369310

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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.