Aug 2026· Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery· Vol 40 8, pp.
1314-1319
· 0 citations
Medicine
TL;DR
BCI holds promise as an important adjunct to conventional orthopedic rehabilitation, particularly for patients with central motor drive deficits, however, its clinical translation still faces challenges including insufficient mechanistic evidence, high patient heterogeneity, and lack of standardized training protocols.
With the continuous development of artificial intelligence, novel biomaterials, and immersive technologies such as virtual reality, BCIs are expected to evolve toward more personalized, home-based, and intelligent rehabilitation solutions, accelerating their clinical application and offering new therapeutic hope for SCI patients.
Xudong Zhao, Keyi Chen, Jinquan Ma et al.· Spine Research· 0 citations
This review systematically summarizes the definition, principles, classification, and clinical value of non -invasive EEG‑BCI and invasive implantable BCI and constructs a comprehensive nursing model that includes pre-rehabilitation assessment, intra-training monitoring, complication prevention, psychological intervention, and home -based continuing care.
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
Non-invasive EEG-based Brain–Computer Interface (BCI), when used alongside conventional physiotherapy and other rehabilitation approaches such as functional electrical stimulation, robotic-assisted therapy, and virtual reality, was associated with improved upper-limb motor function, motor control, functional independence, and neuroplasticity in individuals with stroke.
kumar S Anil, B. Sharvani, M. H· World Journal of Advanced Re...· 0 citations
: Upper extremity dysfunction on the hemiplegic side after stroke is a common challenge in clinical rehabilitation, seriously affecting patients' quality of life. With the development of neuroscience and rehabilitation medicine, new rehabilitation technologies centered on central intervention have gradually become research hotspots. These technologies aim to reconstruct motor function by regulating cerebral cortical excitability and promoting neural plasticity. Currently, techniques such as brain-computer interface, mirror therapy, and repetitive transcranial magnetic stimulation(rTMS) have shown good potential in improving upper limb motor control, enhancing muscle strength, regulating neurotransmitters, and promoting functional balance between bilateral hemispheres. Positive progress has been achieved especially in grip strength recovery, sensory function improvement, and enhancement of activities of daily living. However, many issues remain in this field, including inconsistent intervention parameters, insufficiently elaborated mechanisms of action, lack of individualized treatment plans, and high clinical transformation difficulty of some technologies. Future research should focus on optimizing treatment parameters, developing portable devices, expanding home-based rehabilitation scenarios, and strengthening the integrated application of multimodal technologies. This article systematically examines the clinical application prospects, research progress, and efficacy characteristics of central interventional methods including technology of brain-computer interface, rTMS and mirror therapy, commencing from the pathogenesis. It aims to offer references for the practical promotion and theoretical innovation of upper extremity function rehabilitation following stroke.
He Bai· Proceedings of the 1st Inter...· 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, Juehan Wang et al.· Topics in Stroke Rehabilitat...· 0 citations
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