Evidence map›Paper›PMID 30035012›Full record

ArticleNeuroImage. Clinical2018

Abnormal functional corticomuscular coupling after stroke.

Xiaoling Chen, Ping Xie, Yuanyuan Zhang, Yuling Chen, Shengcui Cheng, Litai Zhang

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 68 citations in OpenAlex.

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  5. Corticomuscular coupling study for post-stroke rehabilitation: a scoping review.Journal of neuroengineering and rehabilitation · 2025
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  18. Feature stability and setup minimization for EEG-EMG-enabled monitoring systems.EURASIP journal on advances in signal processing · 2022
    Article
  19. [An improved maximal information coefficient algorithm applied in the analysis of functional corticomuscular coupling for stroke patients].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Article
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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

6 authors at 3 institutions in 1 country.

Xiaoling ChenYanshan University, Key Lab of Measurement Technology and Instrumentation of Hebei Province, Qinhuangdao, Hebei 066004, China.
Ping XieYanshan University, Key Lab of Measurement Technology and Instrumentation of Hebei Province, Qinhuangdao, Hebei 066004, China. Electronic address: pingx@ysu.edu.cn.
Yuanyuan ZhangYanshan University, Key Lab of Measurement Technology and Instrumentation of Hebei Province, Qinhuangdao, Hebei 066004, China.
Yuling ChenInstitute of Education Science, Tianjin Normal University, Applied Psychology of Tianjin Province, Tianjin 300384, China.
Shengcui ChengYanshan University, Key Lab of Measurement Technology and Instrumentation of Hebei Province, Qinhuangdao, Hebei 066004, China.
Litai ZhangDepartment of Rehabilitation Medicine, The NO.281 Hospital of Chinese People's Liberation Army, Qinhuangdao, Hebei 066100, China.
Yanshan University · CNChinese People's Liberation Army · CNTianjin Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor dysfunction is a major consequence after stroke and it is generally believed that the loss of motor ability is caused by the impairments in neural network that controls movement. To explore the abnormal mechanisms how the brain controls shoulder abduction and elbow flexion in "flexion synergy" following stroke, we used the functional corticomuscular coupling (FCMC) between the brain and the muscles as a tool to identify the temporal evolution of corticomuscular interaction between the synkinetic and separate phases. 59-channel electroencephalogram (EEG) over brain scalp and 2-channel electromyogram (EMG) from biceps brachii (BB)/deltoid (DT) were recorded in sixteen stroke patients with motor dysfunction and eight healthy controls during a task of uplifting the arm (stage 1) and maintaining up to the chest (stage 2). As a result, compared to healthy controls, stroke patients had abnormally reduced coherence in EEG-BB combination and increased coherence in EEG-DT combination. Compared to synkinetic stroke patients, separate ones exhibited higher coupling at gamma-band during stage 1 and higher at beta-band during stage 2 in EEG-BB combination, but lower at beta-band during stage 2 in EEG-DT combination. Therefore, we infer that the disorders of efferent control and afferent proprioception in sensorimotor system for stroke patients effect on the oscillation at beta and gamma bands. Patients need integrate more information for shoulder abduction to compensate for the functional loss of elbow flexion in the recovery process, so that partial cortical cortex controlling on the elbow flexion may work on the shoulder abduction during "flexion synergy". Such researches could provide new perspective on the temporal evolution of corticomuscular interaction after stroke and add to our understanding of possible pathomechanisms how the brain abnormally controls shoulder abduction and elbow flexion in "flexion synergy".

Indexed as

AdultAgedArmElectroencephalographyElectromyographyFemaleHumansMaleMiddle AgedMotor CortexMuscle, SkeletalStrokeFlexion synergyFunctional corticomuscular couplingSeparationStrokeSynkinesis

Identifiers

PMID30035012
PMCPMC6051472
OpenAlexW2795628721

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.