Evidence map›Paper›PMID 40883792›Full record

Trial reportJournal of neuroengineering and rehabilitation2025

Effects of dual-task mode brain-computer interface based on motor imagery and virtual reality on balance and attention in patients with stroke: a randomized controlled pilot trial.

Chunli Wan, Qiyuan Zhang, Yu Qiu, Wenting Zhang, Yao Nie, Shuyi Zeng, Jian Wang, Xiaowen Shen, Cui Yu, Xixi Wu and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
–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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
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  8. Article
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  12. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
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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

12 authors.

Chunli WanThe First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Gulou District, Nanjing City, Jiangsu Province, China.
Qiyuan ZhangNanjing Medical University, Nanjing, China.
Yu QiuNanjing Sport Institute, Nanjing, China.
Wenting ZhangNanjing Sport Institute, Nanjing, China.
Yao NieNanjing Sport Institute, Nanjing, China.
Shuyi ZengNanjing Sport Institute, Nanjing, China.
Jian WangJiangsu Zhongshan Elderly Rehabilitation Hospital, Nanjing, China.
Xiaowen ShenNanjing Medical University, Nanjing, China.
Cui YuNanjing Medical University, Nanjing, China.
Xixi WuThe First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Gulou District, Nanjing City, Jiangsu Province, China. 1010464860@qq.com.
Yuting ZhangThe First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Gulou District, Nanjing City, Jiangsu Province, China. Zhangwish@126.com.
Yongqiang LiThe First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Gulou District, Nanjing City, Jiangsu Province, China. liyongqiang_1980@163.com.

Funding

Jiangsu Provincial People's Hospital, Clinical Diagnosis and Treatment Technology Innovation 'Open bidding for selecting the best candidates' Project No. JBGS202414Major sports research projects of Jiangsu Sports Bureau No. ST242102Ministry of Industry and Information Technology and National Health Commission High-end Equipment Promotion and Application Project 2024TGYY51
6 · The paper itself

Abstract

backgroundBrain-computer interface (BCI) has been shown to be beneficial in improving lower limb motility in stroke, but their effectiveness on balance and attention is unclear. In addition, current BCIs are mostly in single-task mode. The BCI system used in this study was based on a dual-task model of motor imagery (MI) and virtual reality (VR). Previous studies have demonstrated that dual-task seems to be beneficial for balance and attention. The purpose of this study was to validate the effects of MI-VR-based dual-task BCI on balance and attention in participants with stroke.

methodsThis pilot, single-blind, randomized controlled trial involved 38 stroke participants, randomized to the BCI (BCI pedaling training) or control group (conventional pedaling). Both groups trained 20 min daily, 5 days a week for 4 weeks, alongside conventional rehabilitation. Thirty participants completed the program (mean age: 56.56 years, mean disease duration: 4.48 months). Assessments were made before and after 4 weeks. The primary outcome was the Berg Balance Scale (BBS), and secondary outcomes included the Timed Up and Go Test (TUGT), Fugl-Meyer Lower Extremity Assessment (FMA-LE), Symbol Digit Modalities Test (SDMT), and average attention index.

results30 participants completed the study (14 in the BCI and 16 in the control group). The retention rates were 73.68% and 84.21% respectively. No adverse events were reported in this study and participants did not report any discomfort. The changes in BBS, TUGT and SDMT values in the BCI group were significantly better than those in the control group (P < 0.05). Average attention index of the BCI group's participants grew with the number of training sessions, and there was a significant difference comparing pre- to post-treatment (p < 0.05). The value of BBS change is linearly correlated with the value of SDMT change (F = 8.778, y = 0.59x + 1.90, P < 0.001).

conclusionsThis study initially showed positive effects of dual-task mode of BCI pedalling training on balance and attention in stroke participants. However, given the preliminary nature of this study and its limitations, the results need to be treated with caution. Trial registration Chinese Clinical Trial Registry Identifier: ChiCTR2300071522. Registered on 2023/05/17.

Indexed as

AttentionBrain-Computer InterfacesPostural BalanceStrokeStroke RehabilitationVirtual RealityAdultAgedFemaleHumansImagery, PsychotherapyImaginationMaleMiddle AgedPilot ProjectsSingle-Blind MethodAttentionBalanceBrain computer interfaceDual taskMotor imageryPedaling trainingStrokeVirtual reality

Identifiers

PMID40883792
PMCPMC12395916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.