Evidence map›Paper›PMID 35720692›Full record

ArticleFrontiers in neuroscience2022

Upper Limbs Muscle Co-contraction Changes Correlated With the Impairment of the Corticospinal Tract in Stroke Survivors: Preliminary Evidence From Electromyography and Motor-Evoked Potential.

Wenfei Sheng, Shijue Li, Jiangli Zhao, Yujia Wang, Zichong Luo, Wai Leung Ambrose Lo, Minghui Ding, Chuhuai Wang, Le Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% of its field
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 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Spinal Cord Stimulation Improves Feedback Control of Reaching Post-Stroke.medRxiv : the preprint server for health sciences · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

9 authors at 4 institutions in 2 countries.

Wenfei ShengDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Shijue LiDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiangli ZhaoDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yujia WangFaculty of Science and Technology, University of Macau, Taipa, Macao SAR, China.
Zichong LuoFaculty of Science and Technology, University of Macau, Taipa, Macao SAR, China.
Wai Leung Ambrose LoDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Minghui DingDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chuhuai WangDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Le LiInstitute of Medical Research, Northwestern Polytechnical University, Xi'an, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNUniversity of Macau · MONorthwestern Polytechnical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Increased muscle co-contraction of the agonist and antagonist muscles during voluntary movement is commonly observed in the upper limbs of stroke survivors. Much remain to be understood about the underlying mechanism. The aim of the study is to investigate the correlation between increased muscle co-contraction and the function of the corticospinal tract (CST). Methods: Nine stroke survivors and nine age-matched healthy individuals were recruited. All the participants were instructed to perform isometric maximal voluntary contraction (MVC) and horizontal task which consist of sponge grasp, horizontal transportation, and sponge release. We recorded electromyography (EMG) activities from four muscle groups during the MVC test and horizontal task in the upper limbs of stroke survivors. The muscle groups consist of extensor digitorum (ED), flexor digitorum (FD), triceps brachii (TRI), and biceps brachii (BIC). The root mean square (RMS) of EMG was applied to assess the muscle activation during horizontal task. We adopted a co-contraction index (CI) to evaluate the degree of muscle co-contraction. CST function was evaluated by the motor-evoked potential (MEP) parameters, including resting motor threshold, amplitude, latency, and central motor conduction time. We employed correlation analysis to probe the association between CI and MEP parameters. Results: The RMS, CI, and MEP parameters on the affected side showed significant difference compared with the unaffected side of stroke survivors and the healthy group. The result of correlation analysis showed that CI was significantly correlated with MEP parameters in stroke survivors. Conclusion: There existed increased muscle co-contraction and impairment in CST functionality on the affected side of stroke survivors. The increased muscle co-contraction was correlated with the impairment of the CST. Intervention that could improve the excitability of the CST may contribute to the recovery of muscle discoordination in the upper limbs of stroke survivors.

Indexed as

correlation analysescorticospinal tractmotor-evoked potentialmuscle co-contractionstroke

Identifiers

PMID35720692
PMCPMC9198335
OpenAlexW4281654181

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.