Sep 2026· Issues of Rehabilitation Orthopaedics Neurophysiology and Sport Promotion – IRONS· 0 citations· 44 references
TL;DR
Evidence supports that BCI-related methods significantly improve clinical outcomes in stroke survivors, however, the extent of positive neurological impact depends on the specific BCI modality and stroke characteristics.
Abstract
Stroke is a leading cause of long-term disability worldwide, necessitating effective rehabilitation strategies. Currently, neurofeedback and brain-computer interfaces (BCI) based on electroencephalography (EEG) provide promising tools for controlled and precise neurorehabilitation.
To assess the therapeutic efficacy of EEG-based BCI usage in the neurorehabilitation process of post-stroke patients. The assessment focuses on the impact of motor functions and the induction of neuroplasticity.
A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive literature search across five major databases resulted in the final inclusion of 32 articles.
Analysis revealed a diversity of BCI modalities, primarily utilizing motor imagery combined with virtual reality, functional electrical stimulation, and robotic exoskeletons to close the sensorimotor loop. Procedural parameters varied significantly: session durations ranged from brief tasks to one-hour protocols. The total number of sessions are also varied widely, from pilot studies to extended regimens of up to 80 sessions, averaging approximately 30 sessions. Regarding signal acquisition, most studies utilized high-density EEG setups (typically 20 or 32 leads). The cohorts predominantly included patients with chronic ischemic stroke, although healthy individuals were often recruited for system validation. Therapeutic effects were confirmed by significant improvements in clinical scales, particularly the Fugl-Meyer Assessment and neurophysiological markers, such as suppression of the mu rhythm.
Evidence supports that BCI-related methods significantly improve clinical outcomes in stroke survivors. However, the extent of positive neurological impact depends on the specific BCI modality and stroke characteristics. Future research requires standardized protocols to optimize dosage and include underrepresented patient groups.
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
This review examined cumulative findings from recent meta-analyses to identify current challenges and possible suggestions for improving the effects of BCI systems on stroke motor recovery. Consistent with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic literature search...
R. Kim, Ha-Jun Lee, Nyeonju Kang· Symmetry· 0 citations
The neurophysiological basis of EEG-BCI and three major rehabilitation paradigms are outlined, including motor imagery with physical feedback, motor imagery with virtual/multisensory feedback, and the steady-state visual evoked potential (SSVEP)-driven paradigm.
Wang Peng, Yang Yang, Jue-Han Wang et al.· Topics in Stroke Rehabilitat...· 0 citations
Brain-Computer Interface (BCI)-based neurofeedback has emerged as a potentially effective, non-invasive method for enhancing working memory and facilitating cognitive training. Conversely, the methodological heterogeneity characterizing the current research presents a challenge in establishing consistent conclusions co...
Iffa Nurlatifah, Norshita Mat Nayan· International journal of ele...· 0 citations
It is found that BCI-based multimodal rehabilitation improves post-stroke upper-limb motor function, with the estimated effect varying by comparator type.
Yu Wu, Fei-Long Zhu, Qiu-Meng Dong et al.· Frontiers in Neurology· 0 citations
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