Evidence map›Paper›PMID 28580191›Full record

ReviewAging and disease2017

Motor Imagery-Based Rehabilitation: Potential Neural Correlates and Clinical Application for Functional Recovery of Motor Deficits after Stroke.

Yanna Tong, John T Pendy, William A Li, Huishan Du, Tong Zhang, Xiaokun Geng, Yuchuan Ding

Open access · goldAbstract readReview
In one paragraph

Review in Aging and disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
5.6field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 82 citations in OpenAlex.

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  5. Network-oriented neurorehabilitation after stroke: a paradigmatic approach.Journal of neuroengineering and rehabilitation · 2026
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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

7 authors at 3 institutions in 2 countries.

Yanna Tong1China-America Institute of Neuroscience, Luhe Hospital, Capital Medical University, Beijing, China.
John T Pendy3Department of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan, USA.
William A Li3Department of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan, USA.
Huishan Du1China-America Institute of Neuroscience, Luhe Hospital, Capital Medical University, Beijing, China.
Tong Zhang4China Rehabilitation Research Center, Capital Medical University, Beijing, China.
Xiaokun Geng1China-America Institute of Neuroscience, Luhe Hospital, Capital Medical University, Beijing, China.
Yuchuan Ding1China-America Institute of Neuroscience, Luhe Hospital, Capital Medical University, Beijing, China.
Beijing Luhe Hospital Affiliated to Capital Medical University · CNWayne State University · USCapital Medical University · CN

Funding

RRD VA I01 RX001964
6 · The paper itself

Abstract

Motor imagery (MI), defined as the mental implementation of an action in the absence of movement or muscle activation, is a rehabilitation technique that offers a means to replace or restore lost motor function in stroke patients when used in conjunction with conventional physiotherapy procedures. This article briefly reviews the concepts and neural correlates of MI in order to promote improved understanding, as well as to enhance the clinical utility of MI-based rehabilitation regimens. We specifically highlight the role of the cerebellum and basal ganglia, premotor, supplementary motor, and prefrontal areas, primary motor cortex, and parietal cortex. Additionally, we examine the recent literature related to MI and its potential as a therapeutic technique in both upper and lower limb stroke rehabilitation.

Indexed as

clinical implicationmotor functionmovementmuscle activationneural correlates

Identifiers

PMID28580191
PMCPMC5440115
OpenAlexW2544287589

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.