Knowledge mapping and research trends of brain-computer interface technology in rehabilitation: a bibliometric analysis

被引:0
作者
Liu, Mingyue [1 ]
Fang, Mingzhu [2 ]
Liu, Mengya [2 ]
Jin, Shasha [1 ]
Liu, Bin [1 ]
Wu, Liang [1 ]
Li, Zhe [2 ]
机构
[1] Beijing Xiaotangshan Hosp, Dept Sports Rehabil, Beijing, Peoples R China
[2] Zhengzhou Univ, Affiliated Hosp 5, Dept Rehabil Med, Zhengzhou, Peoples R China
关键词
brain-computer interface; rehabilitation; bibliometric analysis; hotspots and trends; CiteSpace; NEUROREHABILITATION; COMMUNICATION; BCI; STIMULATION; STROKE; MOTOR;
D O I
10.3389/fnhum.2024.1486167
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background Although the application of brain-computer interface (BCI) technology in rehabilitation has been extensively studied, a systematic and comprehensive bibliometric analysis of this area remains lacking. Thus, this study aims to analyze the research progress of BCI technology in rehabilitation through bibliometric methods. Methods The study retrieved relevant publications on BCI technology in rehabilitation from the Web of Science Core Collection (WoSCC) between January 1, 2004, and June 30, 2024. The search was conducted using thematic queries, and the document types included "original articles" and "review articles." Bibliometric analysis and knowledge mapping were performed using the Bibliometrix package in R software and CiteSpace software. Results During the study period, a total of 1,431 publications on BCI technology in rehabilitation were published by 4,932 authors from 1,281 institutions across 79 countries in 386 academic journals. The volume of research literature in this field has shown a steady upward trend. The United States of America (USA) and China are the primary contributors, with Eberhard Karls University of T & uuml;bingen being the most active research institution. The journal Frontiers in Neuroscience published the most articles, while the Journal of Neural Engineering was the most cited. Niels Birbaumer not only authored the most articles but also received the highest number of citations. The main research areas include neurology, sports medicine, and ophthalmology. The diverse applications of BCI technology in stroke and spinal cord injury rehabilitation, as well as the evaluation of BCI performance, are current research hotspots. Moreover, deep learning has demonstrated significant potential in BCI technology rehabilitation applications. Conclusion This bibliometric study provides an overview of the research landscape and developmental trends of BCI technology in rehabilitation, offering valuable reference points for researchers in formulating future research strategies.
引用
收藏
页数:16
相关论文
共 71 条
[1]   A comprehensive review of EEG-based brain-computer interface paradigms [J].
Abiri, Reza ;
Borhani, Soheil ;
Sellers, Eric W. ;
Jiang, Yang ;
Zhao, Xiaopeng .
JOURNAL OF NEURAL ENGINEERING, 2019, 16 (01)
[2]   Information and Communication Theoretical Understanding and Treatment of Spinal Cord Injuries: State-of-The-Art and Research Challenges [J].
Akan, Ozgur B. ;
Ramezani, Hamideh ;
Civas, Meltem ;
Cetinkaya, Oktay ;
Bilgin, Bilgesu A. ;
Abbasi, Naveed A. .
IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2023, 16 :332-347
[3]   Brain-machine interface facilitated neurorehabilitation via spinal stimulation after spinal cord injury: Recent progress and future perspectives [J].
Alam, Monzurul ;
Rodrigues, Willyam ;
Bau Ngoc Pham ;
Thakor, Nitish V. .
BRAIN RESEARCH, 2016, 1646 :25-33
[4]   A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke [J].
Ang, Kai Keng ;
Chua, Karen Sui Geok ;
Phua, Kok Soon ;
Wang, Chuanchu ;
Chin, Zheng Yang ;
Kuah, Christopher Wee Keong ;
Low, Wilson ;
Guan, Cuntai .
CLINICAL EEG AND NEUROSCIENCE, 2015, 46 (04) :310-320
[5]   Identification of Lower-Limb Motor Tasks via Brain-Computer Interfaces: A Topical Overview [J].
Asanza, Victor ;
Pelaez, Enrique ;
Loayza, Francis ;
Lorente-Leyva, Leandro L. ;
Peluffo-Ordonez, Diego H. .
SENSORS, 2022, 22 (05)
[6]   Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis [J].
Bai, Zhongfei ;
Fong, Kenneth N. K. ;
Zhang, Jack Jiaqi ;
Chan, Josephine ;
Ting, K. H. .
JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2020, 17 (01)
[7]   Virtual Reality Intervention and Its Impact on Upper Extremity Function in the Stroke Population: A Scoping Review [J].
Bedar, Kylee ;
Bubanovich, Cara ;
Rosemore, Jordan ;
Radford, Kayley ;
Taylor, Kelly L. .
GAMES FOR HEALTH JOURNAL, 2023, 12 (06) :429-439
[8]   Breaking the silence: Brain-computer interfaces (BCI) for communication and motor control [J].
Birbaumer, Niels .
PSYCHOPHYSIOLOGY, 2006, 43 (06) :517-532
[9]   Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references [J].
Bornmann, Lutz ;
Mutz, Ruediger .
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2015, 66 (11) :2215-2222