TY - JOUR
T1 - Evaluating the Effectiveness and Safety of the Electroencephalogram-Based Brain-Machine Interface Rehabilitation System for Patients with Severe Hemiparetic Stroke
T2 - Protocol for a Randomized Controlled Trial (BEST-BRAIN Trial)
AU - Mizuno, Katsuhiro
AU - Abe, Takayuki
AU - Ushiba, Junichi
AU - Kawakami, Michiyuki
AU - Ohwa, Tomomi
AU - Hagimura, Kazuto
AU - Ogura, Miho
AU - Okuyama, Kohei
AU - Fujiwara, Toshiyuki
AU - Liu, Meigen
N1 - Funding Information:
This study is funded as one of the projects of the research programs named “Research on Development of New Medical Devices” by the Japan Agency for Medical Research and Development (AMED; 16hk0102032h0001; 17hk0102032h0002; 18hk0102032h0003). The authors are deeply indebted to Panasonic Corporation for the supply of the investigational product for this trial. This protocol has been reviewed and awarded a grant by the Japan AMED. AMED did not undertake any role in the design of the study and collection, analysis, and interpretation of data and in the writing of the manuscript.
Funding Information:
ML and JU report a research agreement with Panasonic Corporation titled Development and clinical application of advanced upper limb rehabilitation system based on EEG-BMI during the conduct of the study. JU reports grants from the Japan Society for the Promotion of Science (16K01469; 15H05880; 23 · 01410) during the conduct of the study. ML and JU report grants from the Japan Agency for Medical Research and Development (13424858; 14528371) and grants from the Ministry of Education, Culture, Sports, Science and Technology (08001658; 09159054) during the conduct of the study. TF, JU, and ML report a grant from the Ministry of Health, Labor and Welfare (No. 12102976) during the conduct of the study. In addition, JU has a patent (Japanese Patent No. 5283065) motor-related potential detection system, headset for its system, and system unit utilizing these components licensed to None; a patent (Japanese Patent No. 5813981) device aiming for electroencephalogram processing for rehabilitation and rehabilitation system licensed to None; a patent (Japanese Patent Pending No. P2015-205042A) rehabilitation device pending; a patent (PCT/JP2015/003271) control device for rehabilitation device and rehabilitation device pending; a patent (PCT/JP2015/003282; PCT/JP2015/003272) rehabilitation system and method for controlling rehabilitation system pending; biometric information processing method and program pending; a patent (Japanese Patent Pending No. 2017-204089) pseudo-electroencephalogram generation system and electroencephalogram recording system pending; a patent (Japanese Patent Pending No. 2017-204090) electroencephalogram classification system, its method, and programs pending; a patent (Japanese Patent Pending No. 2017-204091) evaluation system for electroencephalogram recording system, evaluation methods, and its programs pending; a patent (Japanese Patent Pending No. 2017-204092) inflammation evaluation system, evaluation method, and its programs pending; and a patent (Japanese Patent Pending No. 2017-204097) finger movement support device pending. JU, KO, and MO have a patent (Japanese Patent Pending No. 2017-204088) electroencephalogram recording system, its method, and programs pending, and a patent (Japanese Patent Pending No. 2017-204093) electroencephalogram recording system, its method and programs pending. KO and MO have a patent (Japanese Patent Pending No. 2017-204094) electroencephalograph and electroencephalogram recording system pending, a patent (Japanese Patent Pending No. 2017-204095) finger movement support device pending, and a patent (Japanese Patent Pending No. 2017-204096) headset pending. JU, MO, KM, ML, and TF have a patent (PCT/JP2017/018216) biometric information processing device. ML, JU and MK are founding scientists of the startup company Connect Inc for the social implementation of university research results such as brain-computer interface and brain-machine interface, which were evaluated in this study.
Publisher Copyright:
©Katsuhiro Mizuno, Takayuki Abe, Junichi Ushiba, Michiyuki Kawakami, Tomomi Ohwa, Kazuto Hagimura, Miho Ogura, Kohei Okuyama, Toshiyuki Fujiwara, Meigen Liu.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Background: We developed a brain-machine interface (BMI) system for poststroke patients with severe hemiplegia to detect event-related desynchronization (ERD) on scalp electroencephalogram (EEG) and to operate a motor-driven hand orthosis combined with neuromuscular electrical stimulation. ERD arises when the excitability of the ipsi-lesional sensorimotor cortex increases. Objective: The aim of this study was to evaluate our hypothesis that motor training using this BMI system could improve severe hemiparesis that is resistant to improvement by conventional rehabilitation. We, therefore, planned and implemented a randomized controlled clinical trial (RCT) to evaluate the effectiveness and safety of intensive rehabilitation using the BMI system. Methods: We conducted a single blind, multicenter RCT and recruited chronic poststroke patients with severe hemiparesis more than 90 days after onset (N=40). Participants were randomly allocated to the BMI group (n=20) or the control group (n=20). Patients in the BMI group repeated 10-second motor attempts to operate EEG-BMI 40 min every day followed by 40 min of conventional occupational therapy. The interventions were repeated 10 times in 2 weeks. Control participants performed a simple motor imagery without servo-action of the orthosis, and electrostimulation was given for 10 seconds for 40 min, similar to the BMI intervention. Overall, 40 min of conventional occupational therapy was also given every day after the control intervention, which was also repeated 10 times in 2 weeks. Motor functions and electrophysiological phenotypes of the paretic hands were characterized before (baseline), immediately after (post), and 4 weeks after (follow-up) the intervention. Improvement in the upper extremity score of the Fugl-Meyer assessment between baseline and follow-up was the main outcome of this study. Results: Recruitment started in March 2017 and ended in July 2018. This trial is currently in the data correcting phase. This RCT is expected to be completed by October 31, 2018. Conclusions: No widely accepted intervention has been established to improve finger function of chronic poststroke patients with severe hemiparesis. The results of this study will provide clinical data for regulatory approval and novel, important understanding of the role of sensory-motor feedback based on BMI to induce neural plasticity and motor recovery.
AB - Background: We developed a brain-machine interface (BMI) system for poststroke patients with severe hemiplegia to detect event-related desynchronization (ERD) on scalp electroencephalogram (EEG) and to operate a motor-driven hand orthosis combined with neuromuscular electrical stimulation. ERD arises when the excitability of the ipsi-lesional sensorimotor cortex increases. Objective: The aim of this study was to evaluate our hypothesis that motor training using this BMI system could improve severe hemiparesis that is resistant to improvement by conventional rehabilitation. We, therefore, planned and implemented a randomized controlled clinical trial (RCT) to evaluate the effectiveness and safety of intensive rehabilitation using the BMI system. Methods: We conducted a single blind, multicenter RCT and recruited chronic poststroke patients with severe hemiparesis more than 90 days after onset (N=40). Participants were randomly allocated to the BMI group (n=20) or the control group (n=20). Patients in the BMI group repeated 10-second motor attempts to operate EEG-BMI 40 min every day followed by 40 min of conventional occupational therapy. The interventions were repeated 10 times in 2 weeks. Control participants performed a simple motor imagery without servo-action of the orthosis, and electrostimulation was given for 10 seconds for 40 min, similar to the BMI intervention. Overall, 40 min of conventional occupational therapy was also given every day after the control intervention, which was also repeated 10 times in 2 weeks. Motor functions and electrophysiological phenotypes of the paretic hands were characterized before (baseline), immediately after (post), and 4 weeks after (follow-up) the intervention. Improvement in the upper extremity score of the Fugl-Meyer assessment between baseline and follow-up was the main outcome of this study. Results: Recruitment started in March 2017 and ended in July 2018. This trial is currently in the data correcting phase. This RCT is expected to be completed by October 31, 2018. Conclusions: No widely accepted intervention has been established to improve finger function of chronic poststroke patients with severe hemiparesis. The results of this study will provide clinical data for regulatory approval and novel, important understanding of the role of sensory-motor feedback based on BMI to induce neural plasticity and motor recovery.
KW - Brain-computer interfaces
KW - Electric stimulation
KW - Electroencephalography
KW - Hemiplegia
KW - Neural plasticity
KW - Neurofeedback
KW - Robotics
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UR - http://www.scopus.com/inward/citedby.url?scp=85096942712&partnerID=8YFLogxK
U2 - 10.2196/12339
DO - 10.2196/12339
M3 - Article
AN - SCOPUS:85096942712
SN - 1929-0748
VL - 7
JO - JMIR Research Protocols
JF - JMIR Research Protocols
IS - 12
M1 - e12339
ER -