Effects of Brain-Computer Interface-Based Training on Post-Stroke Lower Limb Rehabilitation: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.
Aug 2026· Journal of Stroke & Cerebrovascular Diseases· pp.
108711
· 1 citation· 51 references
Medicine
TL;DR
BCI-based training effectively improves lower-limb motor recovery after stroke, and subgroup analyses suggested that a moderate total dose combined with 20-40-minute sessions may represent a potentially optimal regimen, although these findings are based on limited RCTs and require confirmation in larger studies.
Abstract
Background
Lower-limb motor dysfunction after stroke severely compromises mobility and quality of life. Brain-computer interface (BCI) technology, which employs a "central-peripheral-central" closed-loop to promote neuroplasticity, offers a promising rehabilitation approach. However, its optimal dosing parameters remain unclear.
Objective
This study aimed to evaluate the efficacy of BCI-based training on lower-limb motor function, balance, walking capacity, and activities of daily living (ADL) after stroke, and to explore the impact of total training dose, session duration, and stroke phase.
Methods
We systematically searched major databases for randomized controlled trials (RCTs) published up to April 2026. All included studies were RCTs. Methodological quality was assessed using the PEDro scale. A meta-analysis was conducted using RevMan 5.4 to calculate mean differences (MD) and 95% confidence intervals (CI).
Results
Ten RCTs involving 366 participants were included. BCI training significantly improved lower-limb motor function (Fugl-Meyer Assessment for Lower Extremity: MD = 2.38, 95% CI 1.72 to 3.04, P < 0.00001). Although this mean difference is below the anchor-based Minimal Clinically Important Difference (MCID) of 6 points reported for chronic stroke populations, it represents a statistically robust and consistent improvement across RCTs, suggesting potential clinical relevance, particularly in subacute patients or specific intervention subgroups.
Conclusions
BCI-based training effectively improves lower-limb motor recovery after stroke. Subgroup analyses suggested that a moderate total dose (401-800 minutes) combined with 20-40-minute sessions may represent a potentially optimal regimen, although these findings are based on limited RCTs and require confirmation in larger studies.
Overall, BCI-based interventions significantly improved poststroke upper limb rehabilitation and significantly improved FMA-UE, in the first network meta-analysis comparing the efficacy of different BCI-based interventions.
Jia-Bin Xu, Yi-Tian Gao, Si-Qi Xie et al.· Journal of Medical Internet...· 0 citations
Different non-pharmacological interventions may provide distinct benefits for lower limb rehabilitation after stroke; rTMS appears favorable for improving motor function, balance, and daily living ability; tDCS may help enhance walking independence; and virtual reality combined with robotic rehabilitation may be benefi...
Di Zhang, Ya-Ting Yang, Gui-Xing Xu et al.· Journal of NeuroEngineering...· 0 citations
Overall, the certainty of evidence was low to very low, downgraded primarily for these risk of bias concerns, severe imprecision (due to small sample sizes), and potential publication bias.
Yu Qin, Mei-Xuan Li, Yan-fei Li et al.· Cochrane Database of Systema...· 0 citations
With respect to stroke staging, BCI-mediated rehabilitation interventions conferred superior efficacy for motor function recovery in patients with subacute stroke, a finding plausibly attributable to the temporal course of post-stroke neural remodeling.
Huanhuan Zhang, Runzhi Xian, Yuchi Zhang et al.· Journal of NeuroEngineering...· 0 citations
MI-BCI training can improve upper limb motor function, particularly for isolated movements and fine motor control, in stroke patients, but the current evidence does not support definitive conclusions regarding its superiority over standardised traditional rehabilitation.
Zhen Yang, Shan Zhang, Du Wang et al.· Brain Impairment· 0 citations
AI-assisted telerehabilitation is an alternative to conventional post-stroke upper limb rehabilitation and conventional therapy, and both groups achieved clinically meaningful improvements, with no serious adverse events reported.
Fianirazha Primesa Caesarani, Istinganah Noviana, Margareta Dewi Dwiwulandari· Indonesian Journal of Physic...· 0 citations
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