Evidence map›Paper›PMID 30356703›Full record

ArticleFrontiers in neurology2018

Motor Overflow and Spasticity in Chronic Stroke Share a Common Pathophysiological Process: Analysis of Within-Limb and Between-Limb EMG-EMG Coherence.

Yen-Ting Chen, Shengai Li, Elaine Magat, Ping Zhou, Sheng Li

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05511207 (RECOMmENceR), which is not on this map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.6field-weighted citation impact, top 7% 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.

NCT05511207 nacompletednot on this mapstarted 2023, after this paper: background citation

RECOMmENceR: RE-establishing COrtico Muscular COMunication to ENhance Recovery. Clinical Validation of BCI-controlled Functional Electrical Stimulation for Upper Limb Rehabilitation After Stroke

TypeinterventionalSponsorDonatella MattiaRan2023 to 2024Enrolled36ConditionsStroke Sequelae, Motor DisordersArmsRECOM - hBCI training, CTRL - upper limb training with FES
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 62 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Yen-Ting ChenDepartment of Physical Medicine and Rehabilitation, McGovern Medical School, University of Texas Health Science Center - Houston, Houston, TX, United States.
Shengai LiDepartment of Physical Medicine and Rehabilitation, McGovern Medical School, University of Texas Health Science Center - Houston, Houston, TX, United States.
Elaine MagatDepartment of Physical Medicine and Rehabilitation, McGovern Medical School, University of Texas Health Science Center - Houston, Houston, TX, United States.
Ping ZhouDepartment of Physical Medicine and Rehabilitation, McGovern Medical School, University of Texas Health Science Center - Houston, Houston, TX, United States.
Sheng LiDepartment of Physical Medicine and Rehabilitation, McGovern Medical School, University of Texas Health Science Center - Houston, Houston, TX, United States.
Memorial Hermann Institute for Rehabilitation and Research Foundation · US

Funding

Imaging of 3D Innervation Zone Distribution in Spastic Muscles from High-Density Surface EMG RecordingsR21HD090453 · NICHD · UNIVERSITY OF HOUSTON · PI LI, SHENG, ZHANG, YINGCHUN · 2017 to 2018
$434k
Breathing-controlled Electrical Stimulation for Phantom Pain ManagementR21HD087128 · NICHD · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LI, SHENG · 2016 to 2017
$424k
NICHD NIH HHS R21 HD087128NICHD NIH HHS R21 HD090453
6 · The paper itself

Abstract

The phenomenon of exaggerated motor overflow is well documented in stroke survivors with spasticity. However, the mechanism underlying the abnormal motor overflow remains unclear. In this study, we aimed to investigate the possible mechanisms behind abnormal motor overflow and its possible relations with post-stroke spasticity. 11 stroke patients (63.6 ± 6.4 yrs; 4 women) and 11 healthy subjects (31.18 ± 6.18 yrs; 2 women) were recruited. All of them were asked to perform unilateral isometric elbow flexion at submaximal levels (10, 30, and 60% of maximum voluntary contraction). Electromyogram (EMG) was measured from the contracting biceps (iBiceps) muscle and resting contralateral biceps (cBiceps), ipsilateral flexor digitorum superficialis (iFDS), and contralateral FDS (cFDS) muscles. Motor overflow was quantified as the normalized EMG of the resting muscles. The severity of motor impairment was quantified through reflex torque (spasticity) and weakness. EMG-EMG coherence was calculated between the contracting muscle and each of the resting muscles. During elbow flexion on the impaired side, stroke subjects exhibited significant higher motor overflow to the iFDS muscle compared with healthy subjects (ipsilateral or intralimb motor overflow). Stroke subjects exhibited significantly higher motor overflow to the contralateral spastic muscles (cBiceps and cFDS) during elbow flexion on the non-impaired side (contralateral or interlimb motor overflow), compared with healthy subjects. Moreover, there was significantly high EMG-EMG coherence in the alpha band (6-12 Hz) between the contracting muscle and all other resting muscles during elbow flexion on the non-impaired side. Our results of diffuse ipsilateral and contralateral motor overflow with EMG-EMG coherence in the alpha band suggest subcortical origins of motor overflow. Furthermore, correlation between contralateral motor overflow to contralateral spastic elbow and finger flexors and their spasticity was consistently at moderate to high levels. A high correlation suggests that diffuse motor overflow to the impaired side and spasticity likely share a common pathophysiological process. Possible mechanisms are discussed.

Indexed as

EMG-EMG coherencemotor overflowreticulospinal tractspasticitystroke

Identifiers

PMID30356703
PMCPMC6189334
OpenAlexW2889693709

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.