Investigating neural plasticity induced by EEG Brain-machine interface

研究脑电图脑机接口诱导的神经可塑性

• 批准号: RTI-2019-00766
• 负责人: Nelson, Aimee
• 金额: $ 8.15万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=660778
• 关键词: Investigating; neural; plasticity; induced; EEG

Non-invasive brain machine interfaces (BMI) are emerging as an advanced method to induce neural plasticity in humans. Co-Applicant Dr. Jiang has recently developed a non-invasive BMI that utilizes the movement related cortical potential recorded using scalp electroencephalography (EEG) to trigger the noninvasive delivery of peripheral nerve stimulation. Repeat pairing of the EEG - BMI leads to short-term changes in neural output to the targeted muscle. The proposed foundational research will examine the neural mechanisms by which the EEG - BMI induces changes within the motor cortex, corticospinal pathway and motor unit recruitment. The research will also aim to refine the delivery of the EEG - BMI to maximize the adaptations with shorter duration EEG BMI. The proposed research involves collaboration between neurophysiologist Dr. Nelson at McMaster University who studies neural plasticity in sensorimotor cortex and systems engineer Dr. Jian at the University of Waterloo who has pioneered the advanced EEG - BMI approach. The requested infrastructure, the EEG - BMI system will enhance the research capability at McMaster by bringing a cutting-edge technique that is currently unavailable. This advancement will lead to major strides in understanding the foundational processes that underpin neural plasticity induced by EEG - BMI. The infrastructure will be used at full capacity in providing training to approximately 25 graduate trainees over the next five years and foster collaboration between neighboring universities with complementary expertise.

非侵入性脑机接口（BMI）是一种诱导人类神经可塑性的先进方法。 共同申请人Jiang博士最近开发了一种非侵入性BMI，其利用头皮脑电图（EEG）记录的运动相关皮层电位来触发外周神经刺激的非侵入性递送。 EEG-BMI的重复配对导致神经输出到目标肌肉的短期变化。 拟议的基础研究将检查EEG-BMI诱导运动皮层、皮质脊髓通路和运动单位募集变化的神经机制。该研究还将旨在改进EEG-BMI的传递，以最大限度地适应较短持续时间的EEG BMI。 这项拟议中的研究涉及麦克马斯特大学神经生理学家纳尔逊博士和滑铁卢大学系统工程师简博士的合作，前者研究感觉运动皮层的神经可塑性，后者开创了先进的脑电图-体重指数方法。 所要求的基础设施，脑电图- BMI系统将提高研究能力，在麦克马斯特带来了尖端技术，目前还没有。 这一进展将导致重大进展，在理解的基础过程，支持神经可塑性诱导的脑电图-体重指数。 该基础设施将在未来五年内满负荷使用，为大约25名毕业生提供培训，并促进邻近大学与互补专业知识之间的合作。