Application of brain-computer interface technology in stroke rehabilitation from 2021 to 2025:a bibliometric analysis
JIANG Yi
LIANG Kang
CHU Jiahao
YANG Dan
GAO Fei
LI Hanzhi
DU Xiaoxia
Abstract：Objective To analyze the application trends and research hotspots of brain-computer interface(BCI)technology in stroke rehabilitation over the past five years.
Methods Relevant literatures on the use of BCI in stroke rehabilitation published between January,2021 and August,2025 were retrieved from the Web of Science Core Collection database.CiteSpace 6.4.R1 was used for visualiza-tion analysis.
Results A total of 458 papers were included.The annual number of publications remained at a high level.China was the leading country in publication output,with Fudan University and Aalborg University as the top institutions.The most prolific author was Mads R.Jochumsen,while G.Pfurtscheller had the highest citation frequency.The key-words and burst terms with the highest frequency in this field were brain-computer interface,motor imagery,up-per limb and deep learning.
Conclusion Over the past five years,research on BCI in stroke rehabilitation has maintained a high publication volume.The research hotspots focus on innovations in BCI algorithm technology and multidimensional validation of neu-ral mechanisms and rehabilitation efficacy.
Keywords：strokebrain-computer interfacerehabilitationbibliometrics
Publication Date：2025-11-25
Online Publishing Date：2025-12-03(First online date of this platform, not the publication date of the document)
Pages：11( 1279-1289 )