Noninvasive neural decoding of walking

步行的无创神经解码

• 批准号: 8425155
• 负责人: Jose Luis Contreras-Vidal
• 金额: $ 28.01万
• 依托单位: UNIVERSITY OF HOUSTON
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8425155
• 关键词: Noninvasive; neural; decoding; walking

DESCRIPTION (provided by applicant): The broad, long-term goal of this project is to develop novel noninvasive neuroprosthetics for restoration and/or rehabilitation of bipedal locomotion in patients with spinal cord injury (SCI), amyotrophic lateral sclerosis (ALS), subcortical stroke or lower limb amputations. The control of bipedal locomotion is of great interest to the fields of brain machine interfaces (BMIs), i.e. devices that utilize neural activity to control limb prosthesis and gait rehabilitation. Since locomotion deficits are commonly associated with SCI and neurodegenerative diseases, there is also a need to investigate new potential therapies to restore gait control in such patients. While the feasibility of a BMI for upper limbs has been demonstrated in studies in monkeys and humans, neural decoding of bipedal locomotion in humans has not yet been demonstrated. This project builds upon findings from non-invasive neural decoding of movements in our laboratory, and follows a principled, step-by-step, experimental and computational approach to neural decoding of human bipedal locomotion from scalp EEG and the development of brain-computer interfaces for gait rehabilitation. The specific aims of this project are: 1) to investigate what gait parameters are best predicted from brain activity acquired with scalp EEG; 2) to examine longitudinally the changes in the cortical representation of gait during adaptation to virtual cortical lesions or virtual perturbations of gait kinematics using a closed-loop BCI environment. This will be the first time-resolved examination of how cortical networks may adapt to changes in the neural representation of gait in healthy subjects, and may have implications for studying cortical plasticity after brain injury or physical disability, and for the development of BMIs for gait restoration. This research is clinically significant to patients with impaired gait function, as in the case of stroke patients, Parkinson's disease, SCI and lower-limb amputees, as BMIs may one day help restore gait function.

描述（由申请人提供）：该项目的广泛，长期目标是开发新型的无创神经假心理，用于脊髓损伤患者（SCI），肌营养性侧面硬化症（ALS），皮质下stroke或下肢体肢发症患者的恢复和/或恢复双皮亚运动。脑机界面（BMIS）的田野（即利用神经活动来控制肢体假体和步态康复的设备），对两足动力的控制非常感兴趣。由于运动缺陷通常与SCI和神经退行性疾病有关，因此还需要研究新的潜在疗法以恢复此类患者的步态控制。虽然在猴子和人类的研究中已经证明了BMI对上肢的可行性，但尚未证明人类的两足球运动的神经解码。该项目基于我们实验室中运动的非侵入性神经解码的发现，并遵循一种原则上的，逐步的，实验和计算方法，用于头皮EEG的人类两足动物的神经解码以及从脑部计算机界面的发展进行GAIT恢复。该项目的具体目的是：1）研究最佳从头皮脑电图获得的大脑活动中预测哪些步态参数； 2）在适应对虚拟皮质病变或使用闭环BCI环境的步态运动学的虚拟皮质病变或虚拟扰动期间，步态皮质表示的变化。这将是对皮质网络如何适应健康受试者神经表示的变化的首次解决，并可能对研究脑损伤或身体残疾后的皮质可塑性以及步态恢复BMI的发展有影响。这项研究对步态功能受损的患者具有临床意义，例如中风患者，帕金森氏病，SCI和下limb amputees，因为BMIS有一天有一天有助于恢复步态功能。