Evidence map›Paper›PMID 28082882›Full record

ArticleFrontiers in human neuroscience2016

Dominance of the Unaffected Hemisphere Motor Network and Its Role in the Behavior of Chronic Stroke Survivors.

Sahil Bajaj, Stephen N Housley, David Wu, Mukesh Dhamala, G A James, Andrew J Butler

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 37 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

6 authors at 4 institutions in 1 country.

Sahil BajajDepartment of Physics and Astronomy, Georgia State University, AtlantaGA, USA; Department of Psychiatry, College of Medicine, University of Arizona, TucsonAZ, USA.
Stephen N HousleyByrdine F. Lewis School of Nursing and Health Professions, Georgia State University, Atlanta GA, USA.
David WuByrdine F. Lewis School of Nursing and Health Professions, Georgia State University, Atlanta GA, USA.
Mukesh DhamalaDepartment of Physics and Astronomy, Georgia State University, AtlantaGA, USA; Joint Center for Advanced Brain Imaging, Center for Behavioral Neuroscience, Center for Nano-Optics, Center for Diagnostics and Therapeutics, Georgia State University, AtlantaGA, USA; Neuroscience Institute, Georgia State University, AtlantaGA, USA.
G A JamesPsychiatric Research Institute, University of Arkansas for Medical Sciences, Little Rock AR, USA.
Andrew J ButlerByrdine F. Lewis School of Nursing and Health Professions, Georgia State University, AtlantaGA, USA; Neuroscience Institute, Georgia State University, AtlantaGA, USA; Department of Veterans Affairs, Atlanta Rehabilitation Research and Development Center of Excellence, DecaturGA, USA.
Georgia State University · USRehabilitation Research and Development Service · USUniversity of Arizona · USUniversity of Arkansas for Medical Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Balance of motor network activity between the two brain hemispheres after stroke is crucial for functional recovery. Several studies have extensively studied the role of the affected brain hemisphere to better understand changes in motor network activity following stroke. Very few studies have examined the role of the unaffected brain hemisphere and confirmed the test-retest reliability of connectivity measures on unaffected hemisphere. We recorded blood oxygenation level dependent functional magnetic resonance imaging (fMRI) signals from nine stroke survivors with hemiparesis of the left or right hand. Participants performed a motor execution task with affected hand, unaffected hand, and both hands simultaneously. Participants returned for a repeat fMRI scan 1 week later. Using dynamic causal modeling (DCM), we evaluated effective connectivity among three motor areas: the primary motor area (M1), the premotor cortex (PMC) and the supplementary motor area for the affected and unaffected hemispheres separately. Five participants' manual motor ability was assessed by Fugl-Meyer Motor Assessment scores and root-mean square error of participants' tracking ability during a robot-assisted game. We found (i) that the task performance with the affected hand resulted in strengthening of the connectivity pattern for unaffected hemisphere, (ii) an identical network of the unaffected hemisphere when participants performed the task with their unaffected hand, and (iii) the pattern of directional connectivity observed in the affected hemisphere was identical for tasks using the affected hand only or both hands. Furthermore, paired

Indexed as

affected hemispheredynamic causal modeling (DCM)effective connectivityfunctional magnetic resonance imaging (fMRI)motor taskstrokeunaffected hemisphere

Identifiers

PMID28082882
PMCPMC5186808
OpenAlexW2564103361

What OpenQuestion holds

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LicenceCC BY
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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.