Academic Journal
Motor imagery-based brain-computer interface training for post-stroke upper limb dysfunction: systematic review and meta-analysis.
| Τίτλος: | Motor imagery-based brain-computer interface training for post-stroke upper limb dysfunction: systematic review and meta-analysis. |
|---|---|
| Συγγραφείς: | Yang Z; Department of Rehabilitation, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China., Zhang S; Department of Rehabilitation, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China., Wang D; Department of Medical Imaging, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China., Guan M; Department of Rehabilitation, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China., Qiao L; Department of Rehabilitation, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China. |
| Πηγή: | Brain impairment : a multidisciplinary journal of the Australian Society for the Study of Brain Impairment [Brain Impair] 2026 Sep 24; Vol. 27 (3). |
| Τύπος έκδοσης: | Journal Article; Systematic Review; Meta-Analysis |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: CSIRO Publishing Country of Publication: Australia NLM ID: 101121542 Publication Model: Print Cited Medium: Internet ISSN: 1839-5252 (Electronic) Linking ISSN: 18395252 NLM ISO Abbreviation: Brain Impair Subsets: MEDLINE |
| Imprint Name(s): | Publication: 2024-: Clayton VIC : CSIRO Publishing Original Publication: Bowen Hills, QLD, Australia : Published for the ASSBI by Australian Academic Press, c2000- |
| Ιατρικοί όροι (MeSH): | Stroke Rehabilitation*/methods , Upper Extremity*/physiopathology , Stroke*/complications , Stroke*/physiopathology , Hemiplegia*/rehabilitation , Hemiplegia*/etiology , Hemiplegia*/physiopathology , Brain-Computer Interfaces* , Imagery, Psychotherapy*, Humans ; Recovery of Function |
| Περίληψη: | Background: Motor imagery-based brain-computer Interface (MI-BCI) utilises electroencephalographic signals from imagined limb movements for control commands, enabling real-time interaction with external devices. Clinical trials suggest its potential for upper limb recovery post-stroke. This study aims to systematically evaluate the effectiveness of MI-BCI on upper limb motor function in patients with post-stroke hemiplegia. Methods: A comprehensive search was conducted across PubMed, Cochrane Library, Web of Science and Embase through March 2026 for randomised controlled trials assessing MI-BCI effects on upper limb motor impairments post-stroke. A systematic review and meta-analysis were performed. Results: The analysis included 27 studies for systematic review, with meta-analyses encompassing 24 studies involving 846 participants. MI-BCI training showed statistically significant improvements in measures of isolated limb movement and fine motor control, specifically the Fugl-Meyer Assessment for Upper Extremity (s.m.d. 0.31, 95% CI: 0.18-0.45; I² = 17%) and the Wolf Motor Function Test (s.m.d. 0.45, 95% CI: 0.24-0.66; I² = 39%). Conclusions: MI-BCI training can improve upper limb motor function, particularly for isolated movements and fine motor control, in stroke patients. Its effects on complex functional activities, activities of daily living and spasticity were not significant in the current evidence. Due to heterogeneity in control conditions (including sham interventions) across studies, the current evidence does not support definitive conclusions regarding its superiority over standardised traditional rehabilitation. (© 2026 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of the Australasian Society for the Study of Brain Impairment.) |
| Grant Information: | WJ2025M167 Hubei Province Health Technology Projects |
| Contributed Indexing: | Keywords: brain–computer interface; hand dysfunction; meta-analysis; motor imagery; neurofeedback; rehabilitation; stroke; systematic review; upper limb dysfunction |
| Entry Date(s): | Date Created: 20260722 Date Completed: 20260722 Latest Revision: 20260821 |
| Update Code: | 20260821 |
| DOI: | 10.1071/IB25022 |
| PMID: | 42486778 |
| Βάση Δεδομένων: | MEDLINE |
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| Items | – Name: Title Label: Title Group: Ti Data: Motor imagery-based brain-computer interface training for post-stroke upper limb dysfunction: systematic review and meta-analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yang+Z%22">Yang Z</searchLink>; Department of Rehabilitation, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China.<br /><searchLink fieldCode="AU" term="%22Zhang+S%22">Zhang S</searchLink>; Department of Rehabilitation, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China.<br /><searchLink fieldCode="AU" term="%22Wang+D%22">Wang D</searchLink>; Department of Medical Imaging, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China.<br /><searchLink fieldCode="AU" term="%22Guan+M%22">Guan M</searchLink>; Department of Rehabilitation, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China.<br /><searchLink fieldCode="AU" term="%22Qiao+L%22">Qiao L</searchLink>; Department of Rehabilitation, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101121542%22">Brain impairment : a multidisciplinary journal of the Australian Society for the Study of Brain Impairment</searchLink> [Brain Impair] 2026 Sep 24; Vol. 27 (3). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Systematic Review; Meta-Analysis – Name: Language Label: Language Group: Lang Data: English – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22CSIRO+Publishing%22">CSIRO Publishing </searchLink><i>Country of Publication: </i>Australia <i>NLM ID: </i>101121542 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1839-5252 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218395252%22">18395252 </searchLink><i>NLM ISO Abbreviation: </i>Brain Impair <i>Subsets: </i>MEDLINE – Name: PublisherInfo Label: Imprint Name(s) Group: PubInfo Data: <i>Publication</i>: 2024-: Clayton VIC : CSIRO Publishing<br /><i>Original Publication</i>: Bowen Hills, QLD, Australia : Published for the ASSBI by Australian Academic Press, c2000- – Name: SubjectMESH Label: MeSH Terms Group: Su Data: <searchLink fieldCode="MM" term="%22Stroke+Rehabilitation%22">Stroke Rehabilitation*</searchLink>/<searchLink fieldCode="MM" term="%22Stroke+Rehabilitation+methods%22">methods</searchLink> <br /><searchLink fieldCode="MM" term="%22Upper+Extremity%22">Upper Extremity*</searchLink>/<searchLink fieldCode="MM" term="%22Upper+Extremity+physiopathology%22">physiopathology</searchLink> <br /><searchLink fieldCode="MM" term="%22Stroke%22">Stroke*</searchLink>/<searchLink fieldCode="MM" term="%22Stroke+complications%22">complications</searchLink> <br /><searchLink fieldCode="MM" term="%22Stroke%22">Stroke*</searchLink>/<searchLink fieldCode="MM" term="%22Stroke+physiopathology%22">physiopathology</searchLink> <br /><searchLink fieldCode="MM" term="%22Hemiplegia%22">Hemiplegia*</searchLink>/<searchLink fieldCode="MM" term="%22Hemiplegia+rehabilitation%22">rehabilitation</searchLink> <br /><searchLink fieldCode="MM" term="%22Hemiplegia%22">Hemiplegia*</searchLink>/<searchLink fieldCode="MM" term="%22Hemiplegia+etiology%22">etiology</searchLink> <br /><searchLink fieldCode="MM" term="%22Hemiplegia%22">Hemiplegia*</searchLink>/<searchLink fieldCode="MM" term="%22Hemiplegia+physiopathology%22">physiopathology</searchLink> <br /><searchLink fieldCode="MM" term="%22Brain-Computer+Interfaces%22">Brain-Computer Interfaces*</searchLink> <br /><searchLink fieldCode="MM" term="%22Imagery%2C+Psychotherapy%22">Imagery, Psychotherapy*</searchLink><br /><searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Recovery+of+Function%22">Recovery of Function</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Motor imagery-based brain-computer Interface (MI-BCI) utilises electroencephalographic signals from imagined limb movements for control commands, enabling real-time interaction with external devices. Clinical trials suggest its potential for upper limb recovery post-stroke. This study aims to systematically evaluate the effectiveness of MI-BCI on upper limb motor function in patients with post-stroke hemiplegia.<br />Methods: A comprehensive search was conducted across PubMed, Cochrane Library, Web of Science and Embase through March 2026 for randomised controlled trials assessing MI-BCI effects on upper limb motor impairments post-stroke. A systematic review and meta-analysis were performed.<br />Results: The analysis included 27 studies for systematic review, with meta-analyses encompassing 24 studies involving 846 participants. MI-BCI training showed statistically significant improvements in measures of isolated limb movement and fine motor control, specifically the Fugl-Meyer Assessment for Upper Extremity (s.m.d. 0.31, 95% CI: 0.18-0.45; I² = 17%) and the Wolf Motor Function Test (s.m.d. 0.45, 95% CI: 0.24-0.66; I² = 39%).<br />Conclusions: MI-BCI training can improve upper limb motor function, particularly for isolated movements and fine motor control, in stroke patients. Its effects on complex functional activities, activities of daily living and spasticity were not significant in the current evidence. Due to heterogeneity in control conditions (including sham interventions) across studies, the current evidence does not support definitive conclusions regarding its superiority over standardised traditional rehabilitation.<br /> (© 2026 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of the Australasian Society for the Study of Brain Impairment.) – Name: GrantInfo Label: Grant Information Group: Grant Data: WJ2025M167 Hubei Province Health Technology Projects – Name: SubjectMinor Label: Contributed Indexing Group: Data: <i>Keywords: </i>brain–computer interface; hand dysfunction; meta-analysis; motor imagery; neurofeedback; rehabilitation; stroke; systematic review; upper limb dysfunction – Name: DateEntry Label: Entry Date(s) Group: Date Data: <i>Date Created: </i>20260722 <i>Date Completed: </i>20260722 <i>Latest Revision: </i>20260821 – Name: DateUpdate Label: Update Code Group: Date Data: 20260821 – Name: DOI Label: DOI Group: ID Data: 10.1071/IB25022 – Name: AN Label: PMID Group: ID Data: 42486778 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1071/IB25022 Languages: – Code: eng Text: English Subjects: – SubjectFull: Humans Type: general – SubjectFull: Recovery of Function Type: general – SubjectFull: Stroke Rehabilitation methods Type: general – SubjectFull: Upper Extremity physiopathology Type: general – SubjectFull: Stroke complications Type: general – SubjectFull: Stroke physiopathology Type: general – SubjectFull: Hemiplegia rehabilitation Type: general – SubjectFull: Hemiplegia etiology Type: general – SubjectFull: Hemiplegia physiopathology Type: general – SubjectFull: Brain-Computer Interfaces Type: general – SubjectFull: Imagery, Psychotherapy Type: general Titles: – TitleFull: Motor imagery-based brain-computer interface training for post-stroke upper limb dysfunction: systematic review and meta-analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang Z – PersonEntity: Name: NameFull: Zhang S – PersonEntity: Name: NameFull: Wang D – PersonEntity: Name: NameFull: Guan M – PersonEntity: Name: NameFull: Qiao L IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 09 Text: 2026 Sep 24 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1839-5252 Numbering: – Type: volume Value: 27 – Type: issue Value: 3 Titles: – TitleFull: Brain impairment : a multidisciplinary journal of the Australian Society for the Study of Brain Impairment Type: main |
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