Evidence map›Paper›PMID 29201639›Full record

Trial reportNeuroImage. Clinical2018

Visual feedback alters force control and functional activity in the visuomotor network after stroke.

Derek B Archer, Nyeonju Kang, Gaurav Misra, Shannon Marble, Carolynn Patten, Stephen A Coombes

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

27 citing papers in PubMed, 46 citations in OpenAlex.

  1. Impact of Tai Ji Yunshou with Visual Feedback on Balance and Mobility in Stroke Patients.Medical science monitor : international medical journal of experimental and clinical research · 2025
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  4. Medullary and C3-C4 propriospinal pathways underlying mammalian forelimb movement control.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  17. Cognitive and motor deficits contribute to longer braking time in stroke.Journal of neuroengineering and rehabilitation · 2021
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  19. Effects of Visual Feedback During Recumbent Stepping in Individuals With Chronic Stroke.Archives of rehabilitation research and clinical translation · 2020
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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 2 institutions in 2 countries.

Derek B ArcherLaboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States.
Nyeonju KangDivision of Sport Science, Incheon National University, Incheon, South Korea.
Gaurav MisraLaboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States.
Shannon MarbleLaboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States.
Carolynn PattenNeural Control of Movement Lab, Department of Physical Therapy, University of Florida and Malcolm-Randall VA Medical Center, Gainesville, FL, United States.
Stephen A CoombesLaboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States. Electronic address: scoombes@ufl.edu.
University of Florida · USIncheon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modulating visual feedback may be a viable option to improve motor function after stroke, but the neurophysiological basis for this improvement is not clear. Visual gain can be manipulated by increasing or decreasing the spatial amplitude of an error signal. Here, we combined a unilateral visually guided grip force task with functional MRI to understand how changes in the gain of visual feedback alter brain activity in the chronic phase after stroke. Analyses focused on brain activation when force was produced by the most impaired hand of the stroke group as compared to the non-dominant hand of the control group. Our experiment produced three novel results. First, gain-related improvements in force control were associated with an increase in activity in many regions within the visuomotor network in both the stroke and control groups. These regions include the extrastriate visual cortex, inferior parietal lobule, ventral premotor cortex, cerebellum, and supplementary motor area. Second, the stroke group showed gain-related increases in activity in additional regions of lobules VI and VIIb of the ipsilateral cerebellum. Third, relative to the control group, the stroke group showed increased activity in the ipsilateral primary motor cortex, and activity in this region did not vary as a function of visual feedback gain. The visuomotor network, cerebellum, and ipsilateral primary motor cortex have each been targeted in rehabilitation interventions after stroke. Our observations provide new insight into the role these regions play in processing visual gain during a precisely controlled visuomotor task in the chronic phase after stroke.

Indexed as

Recovery of FunctionAdultAgedBrainFeedback, SensoryFemaleHand StrengthHumansMagnetic Resonance ImagingMaleMiddle AgedStrokeStroke RehabilitationfMRIForce controlIpsilateral M1StrokeVisual feedbackVisuomotor network

Identifiers

PMID29201639
PMCPMC5700823
OpenAlexW2770860995

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.