Evidence map›Paper›PMID 37407988›Full record

ArticleBiomedical engineering online2023

Virtual reality and motor imagery for early post-stroke rehabilitation.

Chi S Choy, Qiang Fang, Katrina Neville, Bingrui Ding, Akshay Kumar, Seedahmed S Mahmoud, Xudong Gu, Jianming Fu, Beth Jelfs

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical engineering online, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07077460 (Innovative Hand Rehabilitation System With Synchronized Contralateral Haptic Feedback), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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.

NCT07077460 narecruitingnot on this mapstarted 2024, after this paper: background citation

Innovative Hand Rehabilitation System With Synchronized Contralateral Haptic Feedback

TypeinterventionalSponsorNational Cheng-Kung University HospitalRan2024 to 2025Enrolled100ConditionsHealthy ElderlyArmsTIPr, Mirror Visual Feedback Device, Mirror Visual Feedback Device(Blocked mirror), Graded-Pressure Haptic Device (Passive press-feedback cushion)
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  3. Trial
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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

9 authors at 4 institutions in 3 countries.

Chi S ChoySchool of Engineering, RMIT University, Melbourne, Australia.
Qiang FangDepartment of Biomedical Engineering, Shantou University, Shantou, China. qiangfang@stu.edu.cn.
Katrina NevilleSchool of Engineering, RMIT University, Melbourne, Australia.
Bingrui DingDepartment of Biomedical Engineering, Shantou University, Shantou, China.
Akshay KumarDepartment of Biomedical Engineering, Shantou University, Shantou, China.
Seedahmed S MahmoudDepartment of Biomedical Engineering, Shantou University, Shantou, China.
Xudong GuRehabilitation Center, Jiaxing 2nd Hospital, Jiaxing, 314000, China.
Jianming FuRehabilitation Center, Jiaxing 2nd Hospital, Jiaxing, 314000, China.
Beth JelfsDepartment of Electrical, Electronic & Systems Engineering, University of Birmingham, Birmingham, UK. b.jelfs@bham.ac.uk.
Shantou University · CNFirst Hospital of Jiaxing · CNRMIT University · AUUniversity of Birmingham · GB

Funding

Li Ka Shing Foundation 2020LKSFG03CRMIT University Engineering Top-up Scholarship (E &B)ustralian Government TP Stipend Scholarship (RSS-SC)
6 · The paper itself

Abstract

backgroundMotor impairment is a common consequence of stroke causing difficulty in independent movement. The first month of post-stroke rehabilitation is the most effective period for recovery. Movement imagination, known as motor imagery, in combination with virtual reality may provide a way for stroke patients with severe motor disabilities to begin rehabilitation.

methodsThe aim of this study is to verify whether motor imagery and virtual reality help to activate stroke patients' motor cortex. 16 acute/subacute (< 6 months) stroke patients participated in this study. All participants performed motor imagery of basketball shooting which involved the following tasks: listening to audio instruction only, watching a basketball shooting animation in 3D with audio, and also performing motor imagery afterwards. Electroencephalogram (EEG) was recorded for analysis of motor-related features of the brain such as power spectral analysis in the [Formula: see text] and [Formula: see text] frequency bands and spectral entropy. 18 EEG channels over the motor cortex were used for all stroke patients.

resultsAll results are normalised relative to all tasks for each participant. The power spectral densities peak near the [Formula: see text] band for all participants and also the [Formula: see text] band for some participants. Tasks with instructions during motor imagery generally show greater power spectral peaks. The p-values of the Wilcoxon signed-rank test for band power comparison from the 18 EEG channels between different pairs of tasks show a 0.01 significance of rejecting the band powers being the same for most tasks done by stroke subjects. The motor cortex of most stroke patients is more active when virtual reality is involved during motor imagery as indicated by their respective scalp maps of band power and spectral entropy.

conclusionThe resulting activation of stroke patient's motor cortices in this study reveals evidence that it is induced by imagination of movement and virtual reality supports motor imagery. The framework of the current study also provides an efficient way to investigate motor imagery and virtual reality during post-stroke rehabilitation.

Indexed as

BasketballImaginationMotor DisordersStrokeStroke RehabilitationVirtual RealityBrain WavesElectroencephalographyHumansMotor CortexBrunnstromEEGEntropyMotor imageryMotor recoveryNeuroplasticityRehabilitationSpectral analysisStrokeVirtual reality

Identifiers

PMID37407988
PMCPMC10320905
OpenAlexW4383197743

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.