The Application of Brain-Computer Interface in Upper Limb Dysfunction After Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

被引:11
作者
Peng, Yang [1 ]
Wang, Jing [1 ]
Liu, Zicai [2 ]
Zhong, Lida [1 ]
Wen, Xin [2 ]
Wang, Pu [3 ]
Gong, Xiaoqian [4 ]
Liu, Huiyu [1 ]
机构
[1] Yue Bei Peoples Hosp, Dept Rehabil Med, Shaoguan, Peoples R China
[2] Gannan Med Univ, Sch Rehabil, Ganzhou, Peoples R China
[3] Sun Yat sen Univ, Affiliated Hosp 7, Dept Rehabil Med, Shenzhen, Peoples R China
[4] Yue Bei Peoples Hosp, Shaoguan, Peoples R China
来源
FRONTIERS IN HUMAN NEUROSCIENCE | 2022年 / 16卷
关键词
stroke; brain-computer interface; BCI; upper limb dysfunction; meta-analysis; FUNCTIONAL ELECTRICAL-STIMULATION; INDUCED MOVEMENT THERAPY; REHABILITATION; NEUROFEEDBACK; RECOVERY;
D O I
10.3389/fnhum.2022.798883
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Objective: This study aimed to examine the effectiveness and safety of the Brain-computer interface (BCI) in treatment of upper limb dysfunction after stroke. Methods: English and Chinese electronic databases were searched up to July 2021. Randomized controlled trials (RCTs) were eligible. The methodological quality was assessed using Cochrane's risk-of-bias tool. Meta-analysis was performed using RevMan 5.4. Results: A total of 488 patients from 16 RCTs were included. The results showed that (1) the meta-analysis of BCI-combined treatment on the improvement of the upper limb function showed statistical significance [standardized mean difference (SMD): 0.53, 95% CI: 0.26-0.80, P < 0.05]; (2) BCI treatment can improve the abilities of daily living of patients after stroke, and the analysis results are statistically significant (SMD: 1.67, 95% CI: 0.61-2.74, P < 0.05); and (3) the BCI-combined therapy was not statistically significant for the analysis of the Modified Ashworth Scale (MAS) (SMD: -0.10, 95% CI: -0.50 to 0.30, P = 0.61). Conclusion: The meta-analysis indicates that the BCI therapy or BCI combined with other therapies such as conventional rehabilitation training and motor imagery training can improve upper limb dysfunction after stroke and enhance the quality of daily life.
引用
收藏
页数:10
相关论文
共 37 条
[1]   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
[2]   A Large Clinical Study on the Ability of Stroke Patients to Use an EEG-Based Motor Imagery Brain-Computer Interface [J].
Ang, Kai Keng ;
Guan, Cuntai ;
Chua, Karen Sui Geok ;
Ang, Beng Ti ;
Kuah, Christopher Wee Keong ;
Wang, Chuanchu ;
Phua, Kok Soon ;
Chin, Zheng Yang ;
Zhang, Haihong .
CLINICAL EEG AND NEUROSCIENCE, 2011, 42 (04) :253-258
[3]   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)
[4]   Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke [J].
Biasiucci, A. ;
Leeb, R. ;
Iturrate, I. ;
Perdikis, S. ;
Al-Khodairy, A. ;
Corbet, T. ;
Schnider, A. ;
Schmidlin, T. ;
Zhang, H. ;
Bassolino, M. ;
Viceic, D. ;
Vuadens, P. ;
Guggisberg, A. G. ;
Millan, J. D. R. .
NATURE COMMUNICATIONS, 2018, 9
[5]   Neurophysiological and Behavioral Effects of tDCS Combined With Constraint-Induced Movement Therapy in Poststroke Patients [J].
Bolognini, Nadia ;
Vallar, Giuseppe ;
Casati, Carlotta ;
Latif, Lydia Abdul ;
El-Nazer, Rasheda ;
Williams, Julie ;
Banco, Elisabetta ;
Macea, Debora Duarte ;
Tesio, Luigi ;
Chessa, Cecilia ;
Fregni, Felipe .
NEUROREHABILITATION AND NEURAL REPAIR, 2011, 25 (09) :819-829
[6]   Longitudinal Electroencephalography Analysis in Subacute Stroke Patients During Intervention of Brain-Computer Interface With Exoskeleton Feedback [J].
Chen, Shugeng ;
Cao, Lei ;
Shu, Xiaokang ;
Wang, Hewei ;
Ding, Li ;
Wang, Shui-Hua ;
Jia, Jie .
FRONTIERS IN NEUROSCIENCE, 2020, 14
[7]   Updated guidance for trusted systematic reviews: a new edition of the Cochrane Handbook for Systematic Reviews of Interventions [J].
Cumpston, Miranda ;
Li, Tianjing ;
Page, Matthew J. ;
Chandler, Jacqueline ;
Welch, Vivian A. ;
Higgins, Julian P. T. ;
Thomas, James .
COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2019, (10)
[8]   Brain-computer interfaces in neurological rehabilitation [J].
Daly, Janis J. ;
Wolpaw, Jonathan R. .
LANCET NEUROLOGY, 2008, 7 (11) :1032-1043
[9]   Global and regional burden of stroke during 1990-2010: findings from the Global Burden of Disease Study 2010 [J].
Feigin, Valery L. ;
Forouzanfar, Mohammad H. ;
Krishnamurthi, Rita ;
Mensah, George A. ;
Connor, Myles ;
Bennett, Derrick A. ;
Moran, Andrew E. ;
Sacco, Ralph L. ;
Anderson, Laurie ;
Truelsen, Thomas ;
O'Donnell, Martin ;
Venketasubramanian, Narayanaswamy ;
Barker-Collo, Suzanne ;
Lawes, Carlene M. M. ;
Wang, Wenzhi ;
Shinohara, Yukito ;
Witt, Emma ;
Ezzati, Majid ;
Naghavi, Mohsen ;
Murray, Christopher .
LANCET, 2014, 383 (9913) :245-255
[10]   Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial [J].
Frolov, Alexander A. ;
Mokienko, Olesya ;
Lyukmanov, Roman ;
Biryukova, Elena ;
Kotov, Sergey ;
Turbina, Lydia ;
Nadareyshvily, Georgy ;
Bushkova, Yulia .
FRONTIERS IN NEUROSCIENCE, 2017, 11