Evidence map›Paper›PMID 42789169›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Comparative efficacy of brain-computer interface-coupled robotic rehabilitation, robot-assisted therapy, and motor imagery for upper-limb motor recovery after stroke: a systematic review and network meta-analysis.

Yunting Wu, Ran Zhang, Fei Wu, Minghui Liu, Yuying Wang, Weige Sun, Weixin Cai

Abstract readSystematic ReviewNetwork Meta-AnalysisComparative Study
PubMed Publisher
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yunting WuDepartment of Nursing, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.ORCID http://orcid.org/0009-0004-9779-3867
Ran ZhangDepartment of Nursing, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.ORCID http://orcid.org/0009-0007-3048-3102
Fei WuDepartment of Nursing, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.ORCID http://orcid.org/0009-0004-5908-1025
Minghui LiuDepartment of Nursing, Hainan Provincial People's Hospital, Haikou, 570311, China.ORCID http://orcid.org/0009-0005-4965-0666
Yuying WangDepartment of Nursing, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.ORCID http://orcid.org/0009-0000-6137-4047
Weige Sun *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. 1926887584@qq.com.ORCID http://orcid.org/0000-0002-4657-7193
Weixin Cai *Department of Nursing, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. ttyyhlb@163.com.ORCID http://orcid.org/0000-0003-0028-4077

Funding

Capital Health Management and Policy Research Base 2026JD06Chinese Nursing Association ZHKY202526
6 · The paper itself

Abstract

objectiveTo compare and rank the efficacy of brain-computer interface-coupled robotic rehabilitation (BCI-robot), robot-assisted therapy, motor imagery (MI), and conventional rehabilitation for upper-limb recovery after stroke, and to explore whether treatment effects differed according to key clinical and intervention-related characteristics.

methodsA systematic search was conducted in 11 databases from inception to March 31, 2026. Randomized controlled trials enrolling adults with post-stroke upper-limb motor impairment were included. The primary outcome was the Fugl-Meyer Assessment of Upper Extremity (FMA-UE). Secondary outcomes included the Action Research Arm Test (ARAT), Wolf Motor Function Test (WMFT), and Modified Barthel Index (MBI). Direct pairwise meta-analyses were performed using mean differences (MDs) with 95% confidence intervals (CIs), and a frequentist network meta-analysis was conducted to synthesize direct and indirect evidence and rank interventions using P-scores.

resultsTwenty-three reports representing 22 independent study cohorts were included, comprising 727 participants. Network meta-analysis showed no significant inconsistency, and the consistency model was adopted. BCI-robot ranked highest for improving FMA-UE according to the P-score analysis (P-score = 0.992), followed by robot-assisted therapy (0.641), MI (0.240), and conventional rehabilitation (0.127). In direct comparisons, BCI-robot produced a statistically significant improvement in FMA-UE versus conventional rehabilitation (MD = 6.80, 95% CI 4.29 to 9.30). The point estimate exceeded the 5.25-point (minimal clinically important difference) MCID, although the lower confidence limit did not. Compared with robot-assisted therapy, BCI-robot showed a statistically significant but small improvement (MD = 2.04, 95% CI 0.29 to 3.78), with both the point estimate and the entire 95% CI remaining below the MCID. Follow-up-duration subgroup analyses suggested that BCI-robot remained favorable over conventional rehabilitation in both < 3-month and ≥ 3-month subgroups, whereas no significant follow-up advantage over robot-assisted therapy was observed. For secondary outcomes, BCI-robot significantly improved WMFT versus conventional rehabilitation (MD = 8.94, 95% CI 5.22 to 12.65) and MBI versus conventional rehabilitation (MD = 3.37, 95% CI 0.10 to 6.63). A significant benefit for MBI versus robot was also observed (MD = 8.61, 95% CI 1.76 to 15.46), although this result was not robust in sensitivity analysis. No significant advantage was found for ARAT. Exploratory subgroup analyses suggested that, compared with robot-assisted therapy, the additional benefit of BCI-robot was more apparent in studies delivering more than four sessions per week.

conclusionsBCI-robot ranked highest for improving FMA-UE and may provide a clinically important benefit over conventional rehabilitation, although the magnitude remains uncertain. Its additional benefit over robot-assisted therapy was small and unlikely to be clinically important. Evidence for longer-term effects and for activity-level and daily-function outcomes remains limited, and the findings should be interpreted cautiously.

Indexed as

Brain-Computer InterfacesImagery, PsychotherapyRecovery of FunctionRoboticsStrokeStroke RehabilitationUpper ExtremityHumansTreatment OutcomeBrain–computer interfaceNetwork meta-analysisRobotic rehabilitationStrokeSystematic reviewUpper-limb recovery

Identifiers

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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.