Evidence map›Paper›PMID 38491540›Full record

ArticleJournal of neuroengineering and rehabilitation2024

Extended reality to assess post-stroke manual dexterity: contrasts between the classic box and block test, immersive virtual reality with controllers, with hand-tracking, and mixed-reality tests.

Gauthier Everard, Quentin Burton, Vincent Van de Sype, Thérèse Ntabuhashe Bibentyo, Edouard Auvinet, Martin Gareth Edwards, Charles Sebiyo Batcho, Thierry Lejeune

Registry-linked trialAbstract readControlled Clinical Trial
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04694833 (Self-assessment and Telerehabilitation Using Virtual Reality Devices and Serious Games to Improve Motor and Cognitive Impairments in Stroke Patients), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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.

NCT04694833 naunknown statusnot on this map

Self-assessment and Telerehabilitation Using Virtual Reality Devices and Serious Games to Improve Motor and Cognitive Impairments in Stroke Patients

TypeinterventionalSponsorUniversité Catholique de LouvainRan2020 to 2022Enrolled400ConditionsStroke, Hemiparesis, Cognitive Impairment, Healthy SubjectsArmsMotor and cognitive virtual reality-based assessments, Motor and cognitive virtual reality-based serious games
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  11. Virtual Reality-Based Rehabilitation Therapy.Physiological research · 2025
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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

8 authors.

Gauthier EverardCentre interdisciplinaire de recherche en réadaptation et intégration sociale, Université Laval, Québec, Canada.
Quentin BurtonNeuro Musculo Skeletal Lab (NMSK), Secteur des Sciences de la Santé, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium.
Vincent Van de SypeService de médecine physique et réadaptation, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, Brussels, 1200, Belgium.
Thérèse Ntabuhashe BibentyoECAM- Institut Supérieur Industriel, Brussels, Belgium.
Edouard AuvinetECAM- Institut Supérieur Industriel, Brussels, Belgium.
Martin Gareth EdwardsPsychological Sciences Research Institute (IPSY), Université Catholique de Louvain, Louvain‑la‑Neuve, Belgium.
Charles Sebiyo BatchoCentre interdisciplinaire de recherche en réadaptation et intégration sociale, Université Laval, Québec, Canada.
Thierry LejeuneNeuro Musculo Skeletal Lab (NMSK), Secteur des Sciences de la Santé, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium. thierry.lejeune@uclouvain.be.

Funding

Win2Wal 1810108
6 · The paper itself

Abstract

backgroundRecent technological advancements present promising opportunities to enhance the frequency and objectivity of functional assessments, aligning with recent stroke rehabilitation guidelines. Within this framework, we designed and adapted different manual dexterity tests in extended reality (XR), using immersive virtual reality (VR) with controllers (BBT-VR-C), immersive VR with hand-tracking (BBT-VR-HT), and mixed-reality (MD-MR).

objectiveThis study primarily aimed to assess and compare the validity of the BBT-VR-C, BBT-VR-HT and MD-MR to assess post-stroke manual dexterity. Secondary objectives were to evaluate reliability, usability and to define arm kinematics measures.

methodsA sample of 21 healthy control participants (HCP) and 21 stroke individuals with hemiparesis (IHP) completed three trials of the traditional BBT, the BBT-VR-C, BBT-VR-HT and MD-MR. Content validity of the different tests were evaluated by asking five healthcare professionals to rate the difficulty of performing each test in comparison to the traditional BBT. Convergent validity was evaluated through correlations between the scores of the traditional BBT and the XR tests. Test-retest reliability was assessed through correlations between the second and third trial and usability was assessed using the System Usability Scale (SUS). Lastly, upper limb movement smoothness (SPARC) was compared between IHP and HCP for both BBT-VR test versions.

resultsFor content validity, healthcare professionals rated the BBT-VR-HT (0[0-1]) and BBT-MR (0[0-1]) as equally difficult to the traditional BBT, whereas they rated BBT-VR-C as more difficult than the traditional BBT (1[0-2]). For IHP convergent validity, the Pearson tests demonstrated larger correlations between the scores of BBT and BBT-VR-HT (r = 0.94;p < 0.001), and BBT and MD-MR (r = 0.95;p < 0.001) than BBT and BBT-VR-C (r = 0.65;p = 0.001). BBT-VR-HT and MD-MR usability were both rated as excellent, with median SUS scores of 83[57.5-91.3] and 83[53.8-92.5] respectively. Excellent reliability was found for the BBT-VR-C (ICC = 0.96;p < 0.001), BBT-VR-HT (ICC = 0.96;p < 0.001) and BBT-MR (ICC = 0.99;p < 0.001). The usability of the BBT-VR-C was rated as good with a median SUS of 70[43.8-83.8]. Upper limb movements of HCP were significantly smoother than for IHP when completing either the BBT-VR-C (t = 2.05;p = 0.043) and the BBT-VR-HT (t = 5.21;p < 0.001).

conclusionThe different XR manual tests are valid, short-term reliable and usable tools to assess post-stroke manual dexterity.

trial registrationhttps://clinicaltrials.gov/ct2/show/NCT04694833 ; Unique identifier: NCT04694833, Date of registration: 11/24/2020.

Indexed as

StrokeStroke RehabilitationVirtual RealityHandHumansReproducibility of ResultsUpper ExtremityAugmented realityPatient Outcome AssessmentStrokeUpper ExtremityVirtual reality

Identifiers

PMID38491540
PMCPMC10941416

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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.