Brain-computer interface combined with different therapies for limb dysfunction in stroke patients:effectiveness and mechanism analysis

Wang Xuesong; Wang Yue; Xu Yan; Zeng Wenhui; Lu Wenming; Tang Xingkun; Chen Wenjie; Ye Junsong

doi:10.12307/2025.950

Abstract：BACKGROUND:In recent years,brain-computer interface technology has shown significant promise for rehabilitating limb dysfunction in stroke patients.With ongoing research deepening and its broader clinical application,combining brain-computer interface with other rehabilitation therapies to improve limb function has become a focal point of study. OBJECTIVE:To analyze and summarize the efficacy of brain-computer interface combined with various therapies in treating limb dysfunction in stroke patients and to explore the clinical value of these combined strategies. METHODS:The search terms used for the literature review in Chinese databases were"brain-computer interface,BCI,stroke,"while the terms"brain-computer interface,BCI,brain-computer interaction,brain-machine interface,BMI,stroke"were used for English databases.Literature searches were conducted in CNKI,WanFang,VIP,PubMed,Embase,and Web of Science,from the time of database construction to September 2024.Finally,a total of 3 054 articles were retrieved,and 75 articles were included after screening for summarization. RESULTS AND CONCLUSION:Currently,brain-computer interfaces,used alone or in combination with other treatments such as Chinese medical treatment,conventional rehabilitation therapy,or physical factor therapy,are achieving better outcomes in treating limb dysfunction in stroke patients.However,the efficacy of brain-computer interfaces combined with transcranial direct current stimulation for treating upper and lower limb dysfunctions is still debated.Researchers are increasingly recognizing the feasibility of these combined therapies.Yet,challenges such as limited exploration of therapeutic mechanisms,absence of standardized protocols,and small sample sizes hinder their broad application.Future research should therefore focus on understanding the mechanisms by which brain-computer interfaces can enhance effects when combined with other therapies and on standardizing criteria for clinical trials to enable widespread clinical adoption.