Noninvasive neural decoding of walking

步行的无创神经解码

• 批准号: 8187625
• 负责人: Jose Luis Contreras-Vidal
• 金额: $ 1.7万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 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 2011-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8187625
• 关键词: Address; Affect; Amputation; Amputees; Amyotrophic Lateral Sclerosis; Area; Biomechanics; Brain; Brain Injuries; Cerebral hemisphere; Data; Development; Devices; Economic Burden; Electrodes; Electroencephalography; Engineering; Environment; Foundations; Gait; Gait abnormality; Goals; Health; Human; Implant; Information Centers; Intention; Laboratories; Lead; Leg; Length; Lesion; Life; Limb Prosthesis; Limb structure; Locomotion; Lower Extremity; Macaca mulatta; Measurement; Monitor; Monkeys; Motor; Movement; Neurodegenerative Disorders; Neurons; Output; Paralysed; Parkinson Disease; Patients; Pattern; Persons; Population; Prosthesis; Quality of life; Rehabilitation therapy; Research; Research Personnel; Scalp structure; Signal Transduction; Simulate; Speed; Spinal cord injury; Stroke; Surface; Time; Translations; United States; Upper Extremity; Visual; Walking; base; brain computer interface; brain machine interface; clinically significant; cognitive system; design; disability; human data; information processing; innovation; interdisciplinary approach; interest; kinematics; locomotor deficit; mind control; novel; reconstruction; relating to nervous system; restoration; socioeconomics; spatiotemporal; time use; virtual

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. PUBLIC HEALTH RELEVANCE: In the United States, there are approximately 1.7 million people persons living with limb loss (2008 National Limb Loss Information Center). In addition, spinal cord injury, ALS and stroke affect gait capabilities of about 2 million people in the USA. This research will provide the foundations for the development of noninvasive neuroprosthetics for restoration and rehabilitation of gait thereby increasing the quality of life of patients while reducing the socioeconomic burden of lower limb disabilities.

描述（由申请人提供）：该项目的广泛、长期目标是开发新型非侵入性神经假体，用于脊髓损伤（SCI）、肌萎缩性脊髓侧索硬化症（ALS）、皮质下神经损伤患者的双足运动恢复和/或康复中风或下肢截肢。双足运动的控制引起了脑机接口（BMI）领域的极大兴趣，脑机接口即利用神经活动来控制肢体假肢和步态康复的设备。由于运动缺陷通常与 SCI 和神经退行性疾病相关，因此还需要研究新的潜在疗法来恢复此类患者的步态控制。虽然上肢 BMI 的可行性已在猴子和人类的研究中得到证实，但人类双足运动的神经解码尚未得到证实。该项目建立在我们实验室对运动的非侵入性神经解码的研究结果的基础上，并遵循原则性的、逐步的、实验和计算的方法，通过头皮脑电图对人类双足运动进行神经解码，并开发脑机接口用于步态康复。该项目的具体目标是：1）研究通过头皮脑电图获得的大脑活动最能预测哪些步态参数； 2）使用闭环BCI环境纵向检查步态皮质表征在适应虚拟皮质损伤或步态运动学虚拟扰动期间的变化。这将是首次对皮层网络如何适应健康受试者步态神经表征变化的实时解决检查，并且可能对研究脑损伤或身体残疾后的皮层可塑性以及步态 BMI 的开发产生影响恢复。这项研究对于步态功能受损的患者具有临床意义，例如中风患者、帕金森病、脊髓损伤和下肢截肢者，因为体重指数有一天可能有助于恢复步态功能。 公共健康相关性：在美国，大约有 170 万人患有肢体丧失（2008 年国家肢体丧失信息中心）。此外，脊髓损伤、ALS 和中风影响了美国约 200 万人的步态能力。这项研究将为开发用于步态恢复和康复的非侵入性神经假体奠定基础，从而提高患者的生活质量，同时减轻下肢残疾的社会经济负担。