Feasibility of task-specific brain-machine interface training for upper-extremity paralysis in patients with chronic hemiparetic stroke

Brain-machine interface training was developed for upper-extremity rehabilitation for patients with severe hemiparesis. Its clinical application, however, has been limited because of its lack of feasibility in real-world rehabilitation settings. We developed a new compact task-specific brain-machine...

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Bibliographic Details
Published in:Journal of rehabilitation medicine 2018-01, Vol.50 (1), p.52-58
Main Authors: Nishimoto, Atsuko, Kawakami, Michiyuki, Fujiwara, Toshiyuki, Hiramoto, Miho, Honaga, Kaoru, Abe, Kaoru, Mizuno, Katsuhiro, Ushiba, Junichi, Liu, Meigen
Format: Article
Language:English
Subjects:
Adaptive technology
Brain
cerebrovasculardisease
Customer satisfaction
electroencephalogram
Feasibility
handfunction
Motor activity
Occupational therapists
Occupational therapy
Paralysis
Rehabilitation
Stroke
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Summary:Brain-machine interface training was developed for upper-extremity rehabilitation for patients with severe hemiparesis. Its clinical application, however, has been limited because of its lack of feasibility in real-world rehabilitation settings. We developed a new compact task-specific brain-machine interface system that enables task-specific training, including reach-and-grasp tasks, and studied its clinical feasibility and effectiveness for upper-extremity motor paralysis in patients with stroke. Prospective beforeâ€"after study. Twenty-six patients with severe chronic hemiparetic stroke. Participants were trained with the brain-machine interface system to pick up and release pegs during 40-min sessions and 40 min of standard occupational therapy per day for 10 days. Fugl-Meyer upper-extremity motor (FMA) and Motor Activity Log-14 amount of use (MAL-AOU) scores were assessed before and after the intervention. To test its feasibility, 4 occupational therapists who operated the system for the first time assessed it with the Quebec User Evaluation of Satisfaction with assistive Technology (QUEST) 2.0. FMA and MAL-AOU scores improved significantly after brain-machine interface training, with the effect sizes being medium and large, respectively (p
ISSN:1650-1977
1651-2081
DOI:10.2340/16501977-2275