Brain-computer interface for upper limb functional recovery post-stroke: a meta-analysis of improvement in upper limb motor function and changes in neurophysiological markers
Huanhuan Zhang, Runzhi Xian, Yuchi Zhang, Xiaoyu Liu, Guoqiang Yang, Guiquan Chen · 2026
Read Brain-computer interface for upper limb functional recovery post-stroke: a meta-analysis of improvement in upper limb motor function and changes in neurophysiological markers by Huanhuan Zhang, Runzhi Xian, Yuchi Zhang, Xiaoyu Liu, Guoqiang Yang, Guiquan Chen (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13501825.txt.
Description
Huanhuan Zhang and co-authors pool the evidence on brain-computer interfaces for stroke recovery in a 2026 meta-analysis. Such systems read brain signals and turn intent into movement practice for a weakened arm. Single trials report gains, yet they differ in timing after stroke, outcome scales, and brain markers. The reviewers gathered randomized and controlled studies comparing interface training with standard rehabilitation.
Outcomes spanned arm movement scales, a daily-living index, and neurophysiological markers of brain change. Pooling lets the authors ask whether gains hold across stroke phases and whether brain markers move with function. A clear verdict on where the technology helps would guide clinics weighing its cost.
Catalog record
| CREATOR | Huanhuan Zhang, Runzhi Xian, Yuchi Zhang, Xiaoyu Liu, Guoqiang Yang, Guiquan Chen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |