Functional-oriented, portable brain-computer interface training for hand motor recovery after stroke: a randomized controlled study

被引:9
作者
Fu, Jianghong [1 ]
Chen, Shugeng [1 ]
Shu, Xiaokang [2 ]
Lin, Yifang [1 ]
Jiang, Zewu [1 ]
Wei, Dongshuai [1 ]
Gao, Jiajia [3 ]
Jia, Jie [1 ,4 ,5 ]
机构
[1] Fudan Univ, Huashan Hosp, Dept Rehabil Med, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China
[3] Shanghai 3 Rehabil Hosp, Dept Rehabil Med, Shanghai, Peoples R China
[4] Fudan Univ, Huashan Hosp, Natl Clin Res Ctr Aging & Med, Shanghai, Peoples R China
[5] Fudan Univ, Huashan Hosp, Natl Ctr Neurol Disorders, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
brain-computer interfaces; hand rehabilitation; stroke; motor recovery; RCT; REHABILITATION; EEG; EMG;
D O I
10.3389/fnins.2023.1146146
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
BackgroundBrain-computer interfaces (BCIs) have been proven to be effective for hand motor recovery after stroke. Facing kinds of dysfunction of the paretic hand, the motor task of BCIs for hand rehabilitation is relatively single, and the operation of many BCI devices is complex for clinical use. Therefore, we proposed a functional-oriented, portable BCI equipment and explored the efficiency of hand motor recovery after a stroke. Materials and methodsStroke patients were randomly assigned to the BCI group and the control group. The BCI group received BCI-based grasp/open motor training, while the control group received task-oriented guidance training. Both groups received 20 sessions of motor training in 4 weeks, and each session lasted for 30 min. The Fugl-Meyer assessment of the upper limb (FMA-UE) was applied for the assessment of rehabilitation outcomes, and the EEG signals were obtained for processing. ResultsThe progress of FMA-UE between the BCI group [10.50 (5.75, 16.50)] and the control group [5.00 (4.00, 8.00)] was significantly different (Z = -2.834, P = 0.005). Meanwhile, the FMA-UE of both groups improved significantly (P < 0.001). A total of 24 patients in the BCI group achieved the minimal clinically important difference (MCID) of FMA-UE with an effective rate of 80%, and 16 in the control group achieved the MCID, with an effective rate of 51.6%. The lateral index of the open task in the BCI group was significantly decreased (Z = -2.704, P = 0.007). The average BCI accuracy for 24 stroke patients in 20 sessions was 70.7%, which was improved by 5.0% in the final session compared with the first session. ConclusionTargeted hand movement and two motor task modes, namely grasp and open, to be applied in a BCI design may be suitable in stroke patients with hand dysfunction. The functional-oriented, portable BCI training can promote hand recovery after a stroke, and it is expected to be widely used in clinical practice. The lateral index change of inter-hemispheric balance may be the mechanism of motor recovery.
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页数:11
相关论文
共 39 条
  • [1] High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery
    Ahn, Minkyu
    Cho, Hohyun
    Ahn, Sangtae
    Jun, Sung Chan
    [J]. PLOS ONE, 2013, 8 (11):
  • [2] Ang Kai Keng, 2014, Front Neuroeng, V7, P30, DOI 10.3389/fneng.2014.00030
  • [3] Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients
    Antelis, Javier M.
    Montesano, Luis
    Ramos-Murguialday, Ander
    Birbaumer, Niels
    Minguez, Javier
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2017, 64 (01) : 99 - 111
  • [4] Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis
    Bai, Zhongfei
    Fong, Kenneth N. K.
    Zhang, Jack Jiaqi
    Chan, Josephine
    Ting, K. H.
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2020, 17 (01)
  • [5] Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review
    Baniqued, Paul Dominick E.
    Stanyer, Emily C.
    Awais, Muhammad
    Alazmani, Ali
    Jackson, Andrew E.
    Mon-Williams, Mark A.
    Mushtaq, Faisal
    Holt, Raymond J.
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2021, 18 (01)
  • [6] Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke
    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.
    [J]. NATURE COMMUNICATIONS, 2018, 9
  • [7] Chronic stroke recovery after combined BCI training and physiotherapy: A case report
    Caria, Andrea
    Weber, Cornelia
    Broetz, Doris
    Ramos, Ander
    Ticini, Luca F.
    Gharabaghi, Alireza
    Braun, Christoph
    Birbaumer, Niels
    [J]. PSYCHOPHYSIOLOGY, 2011, 48 (04) : 578 - 582
  • [8] Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis
    Cervera, Maria A.
    Soekadar, Surjo R.
    Ushiba, Junichi
    Millan, Jose del R.
    Liu, Meigen
    Birbaumer, Niels
    Garipelli, Gangadhar
    [J]. ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY, 2018, 5 (05): : 651 - 663
  • [9] G-Causality Brain Connectivity Differences of Finger Movements between Motor Execution and Motor Imagery
    Chen, Chao
    Zhang, Jiaxin
    Belkacem, Abdelkader Nasreddine
    Zhang, Shanting
    Xu, Rui
    Hao, Bin
    Gao, Qiang
    Shin, Duk
    Wang, Changming
    Ming, Dong
    [J]. JOURNAL OF HEALTHCARE ENGINEERING, 2019, 2019
  • [10] Chen RQ., 2015, Acta Universitatis Medicinalis Anhui, V50, P519, DOI [10.19405/j.cnki.issn1000-1492.2015.04.025, DOI 10.19405/J.CNKI.ISSN1000-1492.2015.04.025]