Comparative efficacy of brain-computer interface-coupled robotic rehabilitation, robot-assisted therapy, and motor imagery for upper-limb motor recovery after stroke: a systematic review and network meta-analysis.
Yunting Wu, Ran Zhang, Fei Wu et al.
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In 30 seconds
This systematic review and network meta-analysis evaluated the efficacy of brain-computer interface-coupled robotic rehabilitation (BCI-robot), robot-assisted therapy, motor imagery, and conventional rehabilitation for upper-limb recovery post-stroke in 727 adults. BCI-robot ranked highest for improving the Fugl-Meyer Assessment of Upper Extremity (FMA-UE) with a P-score of 0.992, showing a significant improvement over conventional rehabilitation (MD = 6.80, 95% CI 4.29 to 9.30).
Key findings
- BCI-robot ranked highest for FMA-UE improvement with a P-score of 0.992.
- BCI-robot showed a significant improvement in FMA-UE versus conventional rehabilitation (MD = 6.80, 95% CI 4.29 to 9.30).
- BCI-robot significantly improved WMFT versus conventional rehabilitation (MD = 8.94, 95% CI 5.22 to 12.65).
- No significant advantage was found for ARAT among the interventions.
Why it matters
Understanding the comparative effectiveness of rehabilitation strategies is crucial for optimizing recovery in stroke patients. This study highlights the potential of BCI-robot technology to enhance upper-limb motor recovery, which may influence rehabilitation practices.