Evidence map›Paper›PMID 42459855›Full record

SynthesisFrontiers in neurology

The effect of rehabilitation training based on brain-computer interface on limb function in stroke patients: a systematic review and meta-analyses.

Ziqiu Zheng, Changyue Zhang, Mengjiao Lv, Chunting Qian, Ge Gao, Saisai Wang, Rujing Zhu, Jing Yang, Chengwei Zhang, Haiyan Xu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology. 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

10 authors.

Ziqiu Zheng *Rehabilitation Teaching and Research Section, School of Nursing, Jilin University, Changchun, Jilin, China.
Changyue Zhang *Rehabilitation Teaching and Research Section, School of Nursing, Jilin University, Changchun, Jilin, China.
Mengjiao LvRehabilitation Teaching and Research Section, School of Nursing, Jilin University, Changchun, Jilin, China.
Chunting QianRehabilitation Teaching and Research Section, School of Nursing, Jilin University, Changchun, Jilin, China.
Ge GaoRehabilitation Teaching and Research Section, School of Nursing, Jilin University, Changchun, Jilin, China.
Saisai WangRehabilitation Teaching and Research Section, School of Nursing, Jilin University, Changchun, Jilin, China.
Rujing ZhuDepartment of Clinical Medicine, North Henan Medical University, Zhengzhou, Henan, China.
Jing YangDepartment of Gynecology I, Women's Hospital School of Medicine Zhejiang University Jilin Hospital, Changchun, Jilin, China.
Chengwei ZhangDepartment of Anesthesiology, The Second Hospital of Jilin University, Changchun, Jilin, China.
Haiyan XuRehabilitation Teaching and Research Section, School of Nursing, Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Characterized by high incidence rate, high disability rate, high mortality rate and high recurrence rate, stroke has become the second leading cause of death globally and the primary cause of adult disability. Though traditional rehabilitation methods have played a significant role in post-stroke functional recovery, their therapeutic efficacy is limited. In recent years, brain-computer interfaces (BCI) have advanced rapidly and are being used more frequently in rehabilitation training for stroke patients. Objective: This systematic review and meta-analyses aimed to systematically assess the effect of brain-computer interface-based rehabilitation training on limb function in patients after stroke, and further investigate the efficacy differences among various types of brain-computer interfaces and treatment protocols. Methods: The search strategy was conducted in 5 databases (PubMed, Scopus, Web of Science, Embase, and Cochrane Library databases) from inception to August 29, 2025. The studies that explored the impact of BCI combined with rehabilitation on limb function in stroke patients was mainly focused. A meta-analyses was performed using a random effects model, with the weighted mean difference (WMD) and 95% confidence intervals (CIs) as the effect sizes. Results: Twenty-seven RCTs, including 23 that reported changes in upper limb function and four that reported changes in lower limb function, were included. The results showed that the training based on BCI significantly improved FMA-UE (Fugl-Meyer Assessment upper - extremity) [WMD = 3.50, 95% CI: (2.09, 4.90), Conclusion: The combined therapy was effective in improving the limb function of patients. BCI-based training might be a reliable rehabilitation program to improve limb function. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251038208.

Indexed as

brain computer interface traininglimb functionmeta-analysesrehabilitationstroke

Identifiers

PMID42459855
PMCPMC13368990

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.