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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79132, first published .
Brain scan on computer monitor in a medical office, showing brain activity data.

Efficacy of Brain-Computer Interface Therapy for Upper Limb Rehabilitation in Chronic Stroke: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Efficacy of Brain-Computer Interface Therapy for Upper Limb Rehabilitation in Chronic Stroke: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Authors of this article:

HongJie Chen1, 2 Author Orcid Image ;   GuoJun Yun1 Author Orcid Image

Journals

  1. Fedorov M, Repin D, Voshev D, Klevtsova O, Nikitin E, Shchegolev P, Ignatyev S, Nesutulov A, Timofeeva M, Elizarova P, Tkachenko A. Prospects for the application of brain-computer interfaces in healthcare: socioeconomic effects and risks. A review. Russian Journal of Cardiology 2026;31(2S):6902 View
  2. Hu S, Wang F, Gao X, Zhi Y, Kim D. Effects of Brain-Computer Interface-Controlled Hand Robot Training on Post-Stroke Recovery of Upper Limb Motor Functions: A Meta-Analysis of Dose-Matched Randomized Controlled Trials. Brain Sciences 2026;16(6):552 View
  3. Balasubramanian S. A structural causal model for robot-assisted upper-limb neurorehabilitation. Frontiers in Rehabilitation Sciences 2026;7 View
  4. Pan Y, Huang Y, Bao M, Sun X. Evolution of brain-computer interface technologies for stroke rehabilitation: a bibliometric integration of neural decoding and functional recovery (2016–2025). Frontiers in Neuroscience 2026;20 View
  5. Wang J, Yuan Y, Xu H, Luan G. Scientific and Technological Developments in Brain-Computer Interfaces: A Dual Bibliometric Analysis of Articles and Patents (Preprint). JMIR Rehabilitation and Assistive Technologies 2026 View