Literature DB >> 28949370

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

Atsuko Nishimoto1, Michiyuki Kawakami, Toshiyuki Fujiwara, Miho Hiramoto, Kaoru Honaga, Kaoru Abe, Katsuhiro Mizuno, Junichi Ushiba, Meigen Liu.   

Abstract

OBJECTIVE: 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.
DESIGN: Prospective beforeâ€"after study.
SUBJECTS: Twenty-six patients with severe chronic hemiparetic stroke.
METHODS: 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.
RESULTS: FMA and MAL-AOU scores improved significantly after brain-machine interface training, with the effect sizes being medium and large, respectively (p<0.01, d=0.55; p<0.01, d=0.88). QUEST effectiveness and safety scores showed feasibility and satisfaction in the clinical setting.
CONCLUSION: Our newly developed compact brain-machine interface system is feasible for use in real-world clinical settings.

Entities:  

Mesh:

Year:  2018        PMID: 28949370     DOI: 10.2340/16501977-2275

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  9 in total

1.  Bilateral motor priming for post stroke upper extremity hemiparesis: A randomized pilot study.

Authors:  Mary Ellen Stoykov; Erin King; Fabian J David; Amanda Vatinno; Louis Fogg; Daniel M Corcos
Journal:  Restor Neurol Neurosci       Date:  2020       Impact factor: 2.406

2.  BCI-FES With Multimodal Feedback for Motor Recovery Poststroke.

Authors:  Alexander B Remsik; Peter L E van Kan; Shawna Gloe; Klevest Gjini; Leroy Williams; Veena Nair; Kristin Caldera; Justin C Williams; Vivek Prabhakaran
Journal:  Front Hum Neurosci       Date:  2022-07-06       Impact factor: 3.473

3.  Change in Reciprocal Inhibition of the Forearm with Motor Imagery among Patients with Chronic Stroke.

Authors:  Michiyuki Kawakami; Kohei Okuyama; Yoko Takahashi; Miho Hiramoto; Atsuko Nishimura; Junichi Ushiba; Toshiyuki Fujiwara; Meigen Liu
Journal:  Neural Plast       Date:  2018-04-29       Impact factor: 3.599

4.  Evaluating the Effectiveness and Safety of the Electroencephalogram-Based Brain-Machine Interface Rehabilitation System for Patients With Severe Hemiparetic Stroke: Protocol for a Randomized Controlled Trial (BEST-BRAIN Trial).

Authors:  Katsuhiro Mizuno; Takayuki Abe; Junichi Ushiba; Michiyuki Kawakami; Tomomi Ohwa; Kazuto Hagimura; Miho Ogura; Kohei Okuyama; Toshiyuki Fujiwara; Meigen Liu
Journal:  JMIR Res Protoc       Date:  2018-12-06

5.  Absence of Motor-Evoked Potentials Does Not Predict Poor Recovery in Patients With Severe-Moderate Stroke: An Exploratory Analysis.

Authors:  Elizabeth S Powell; Philip M Westgate; Larry B Goldstein; Lumy Sawaki
Journal:  Arch Rehabil Res Clin Transl       Date:  2019-09-12

6.  The Frequency Effect of the Motor Imagery Brain Computer Interface Training on Cortical Response in Healthy Subjects: A Randomized Clinical Trial of Functional Near-Infrared Spectroscopy Study.

Authors:  Qiang Lin; Yanni Zhang; Yajie Zhang; Wanqi Zhuang; Biyi Zhao; Xiaomin Ke; Tingting Peng; Tingting You; Yongchun Jiang; Anniwaer Yilifate; Wei Huang; Lingying Hou; Yaoyao You; Yaping Huai; Yaxian Qiu; Yuxin Zheng; Haining Ou
Journal:  Front Neurosci       Date:  2022-03-31       Impact factor: 4.677

Review 7.  Toward an Adapted Neurofeedback for Post-stroke Motor Rehabilitation: State of the Art and Perspectives.

Authors:  Salomé Le Franc; Gabriela Herrera Altamira; Maud Guillen; Simon Butet; Stéphanie Fleck; Anatole Lécuyer; Laurent Bougrain; Isabelle Bonan
Journal:  Front Hum Neurosci       Date:  2022-07-14       Impact factor: 3.473

8.  Effects of brain-computer interface training on upper limb function recovery in stroke patients: A protocol for systematic review and meta-analysis.

Authors:  Xiali Xue; Huan Tu; Zhongyi Deng; Ling Zhou; Ning Li; Xiaokun Wang
Journal:  Medicine (Baltimore)       Date:  2021-06-11       Impact factor: 1.817

9.  Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis.

Authors:  Zhongfei Bai; Kenneth N K Fong; Jack Jiaqi Zhang; Josephine Chan; K H Ting
Journal:  J Neuroeng Rehabil       Date:  2020-04-25       Impact factor: 4.262

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.