Evidence map›Paper›PMID 33418846›Full record

ArticleBrain sciences2021

BCI Training Effects on Chronic Stroke Correlate with Functional Reorganization in Motor-Related Regions: A Concurrent EEG and fMRI Study.

Kai Yuan, Cheng Chen, Xin Wang, Winnie Chiu-Wing Chu, Raymond Kai-Yu Tong

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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.

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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. EEG-based sensorimotor neurofeedback for motor neurorehabilitation in children and adults: A scoping review.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
  11. Article
  12. Review
  13. Article
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  15. Article
  16. Review
  17. Article
  18. Article
  19. Dynamical Synergies of Multidigit Hand Prehension.Sensors (Basel, Switzerland) · 2022
    Article
  20. Article
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

5 authors at 1 institution in 1 country.

Kai YuanDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0001-6105-4772
Cheng ChenDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0003-1065-7201
Xin WangDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0003-2602-3967
Winnie Chiu-Wing ChuDepartment of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0003-4962-4132
Raymond Kai-Yu TongDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0003-4375-653X
Chinese University of Hong Kong · HK

Funding

Research Grants Council, University Grants Committee 14207617
6 · The paper itself

Abstract

Brain-computer interface (BCI)-guided robot-assisted training strategy has been increasingly applied to stroke rehabilitation, while few studies have investigated the neuroplasticity change and functional reorganization after intervention from multimodality neuroimaging perspective. The present study aims to investigate the hemodynamic and electrophysical changes induced by BCI training using functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) respectively, as well as the relationship between the neurological changes and motor function improvement. Fourteen chronic stroke subjects received 20 sessions of BCI-guided robot hand training. Simultaneous EEG and fMRI data were acquired before and immediately after the intervention. Seed-based functional connectivity for resting-state fMRI data and effective connectivity analysis for EEG were processed to reveal the neuroplasticity changes and interaction between different brain regions. Moreover, the relationship among motor function improvement, hemodynamic changes, and electrophysical changes derived from the two neuroimaging modalities was also investigated. This work suggested that (a) significant motor function improvement could be obtained after BCI training therapy, (b) training effect significantly correlated with functional connectivity change between ipsilesional M1 (iM1) and contralesional Brodmann area 6 (including

Indexed as

brain computer interfaceEEGeffective connectivityfMRIfunctional connectivityrobot hand trainingstroke

Identifiers

PMID33418846
PMCPMC7824842
OpenAlexW3112766996

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.