Evidence map›Paper›PMID 35422693›Full record

SynthesisFrontiers in human neuroscience2022

The Application of Brain-Computer Interface in Upper Limb Dysfunction After Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Yang Peng, Jing Wang, Zicai Liu, Lida Zhong, Xin Wen, Pu Wang, Xiaoqian Gong, Huiyu Liu

2 registry-linked trialsOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 16 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 5 pooled it
2.8field-weighted citation impact, top 9% of its field
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.

NCT05511207 nacompletednot on this mapstarted 2023, after this paper: background citation

RECOMmENceR: RE-establishing COrtico Muscular COMunication to ENhance Recovery. Clinical Validation of BCI-controlled Functional Electrical Stimulation for Upper Limb Rehabilitation After Stroke

TypeinterventionalSponsorDonatella MattiaRan2023 to 2024Enrolled36ConditionsStroke Sequelae, Motor DisordersArmsRECOM - hBCI training, CTRL - upper limb training with FES
NCT06116942 narecruitingnot on this mapstarted 2023, after this paper: background citation

Repetitive Transcranial Magnetic Stimulation for Enhancing Brain Computer Interphase-induced Plasticity in Stroke: a Crossover Design

TypeinterventionalSponsorMax Planck Institute for Human Cognitive and Brain SciencesRan2023 to 2027Enrolled24ConditionsChronic StrokeArmsActive rTMS, Sham rTMS
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 5 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Identifying Thematics in a Brain-Computer Interface Research.Computational intelligence and neuroscience · 2023
    Review
  14. Article
  15. Article
  16. Review
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 at 4 institutions in 1 country.

Yang PengDepartment of Rehabilitation Medicine, Yue Bei People's Hospital, Shaoguan, China.
Jing WangDepartment of Rehabilitation Medicine, Yue Bei People's Hospital, Shaoguan, China.
Zicai LiuSchool of Rehabilitation, Gannan Medical University, Ganzhou, China.
Lida ZhongDepartment of Rehabilitation Medicine, Yue Bei People's Hospital, Shaoguan, China.
Xin WenSchool of Rehabilitation, Gannan Medical University, Ganzhou, China.
Pu WangDepartment of Rehabilitation Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Xiaoqian GongYue Bei People's Hospital, Shaoguan, China.
Huiyu LiuDepartment of Rehabilitation Medicine, Yue Bei People's Hospital, Shaoguan, China.
Yue Bei People's Hospital · CNGannan Medical University · CNShantou University · CNThe Seventh Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to examine the effectiveness and safety of the Brain-computer interface (BCI) in treatment of upper limb dysfunction after stroke. Methods: English and Chinese electronic databases were searched up to July 2021. Randomized controlled trials (RCTs) were eligible. The methodological quality was assessed using Cochrane's risk-of-bias tool. Meta-analysis was performed using RevMan 5.4. Results: A total of 488 patients from 16 RCTs were included. The results showed that (1) the meta-analysis of BCI-combined treatment on the improvement of the upper limb function showed statistical significance [standardized mean difference (SMD): 0.53, 95% CI: 0.26-0.80, Conclusion: The meta-analysis indicates that the BCI therapy or BCI combined with other therapies such as conventional rehabilitation training and motor imagery training can improve upper limb dysfunction after stroke and enhance the quality of daily life.

Indexed as

BCIbrain-computer interfacemeta-analysisstrokeupper limb dysfunction

Identifiers

PMID35422693
PMCPMC9001895
OpenAlexW4220721059

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.