Feasibility of a direct brain-to-muscle upper-limb neuroprosthesis

直接脑到肌肉上肢神经假体的可行性

• 批准号: 9108728
• 负责人: Dawn Marie Taylor
• 金额: --
• 依托单位: LOUIS STOKES CLEVELAND VA MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2018-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9108728
• 关键词: Activities of Daily Living; Animals; Atrophic; Brain; Brain Stem; Bypass; Cervical spinal cord injury; Contracts; Effectiveness; Electrodes; Encapsulated; Freedom; Hand; Implant; Individual; Injury; Joints; Juice; Knowledge; Learning; Left; Limb structure; Longevity; Methods; Microelectrodes; Modeling; Monkeys; Motion; Motor; Motor Cortex; Movement; Muscle; Musculoskeletal; Neck; Neurons; Paralysed; Pattern; Performance; Persons; Positioning Attribute; Process; Quality Control; Rewards; Signal Transduction; Spinal Cord; Spinal cord injury; System; Technology; Testing; Time; Training; Translating; Upper Extremity; Upper limb movement; Veterans; Well in self; analytical method; arm; arm function; arm movement; compare effectiveness; flexibility; improved; kinematics; limb movement; mind control; neuromuscular stimulation; neuroprosthesis; neurotransmission; novel; prevent; public health relevance; relating to nervous system; sensor; simulation

DESCRIPTION (provided by applicant): Implanted neuromuscular stimulation systems capable of restoring full arm and hand motion have now been implemented in people paralyzed below the neck due to spinal cord injury. Intracortical microelectrode arrays are also now being tested in other paralyzed individuals for chronically recording neural activity in the motor cortex. By combining these two technologies, we can potentially develop complete systems that will bypass damage in the spinal cord and restore natural movement by thought to people with spinal cord injuries. However, if the brain signals are decoded into kinematic aspects of movements (e.g. limb position, velocity, joint angles etc.), then we still have to develop additional technology to convert those kinematic commands into the muscle stimulation patterns needed to generate the desired movement. This is not a trivial task. In this study, we will evaluate the alternative approach of retraining the bain to control the muscle stimulators directly, therefore bypassing the challenging and still open problem of how best to translate one's intended movement into the muscle activation levels that will generate those movements. Several studies have shown that local field potentials and the firing rates of motor cortical neurons correlate with recorded muscle activity in able- bodied animals. However, in this study we are specifically testing if motor cortex can be retrained to command the muscle activation levels needed to generate the desired motion of a paralyzed limb where only a subset of the normal muscles can be stimulated and muscles have atrophied after paralysis. Since intracortical recording electrodes are not always capable of detecting firin of individual neurons as the body encapsulates the electrodes over time, we will also compare the effectiveness of using firing rates of the recorded neurons to control the muscle stimulators versus using the more robustly recorded local field potentials to control muscle stimulators. The novel decoding methods we will use in this study can be applied clinically to paralyzed individuals and not just able-bodied animals. In aims 1-2, monkeys will be trained to use the firing rates of ensembles of motor and premotor cortical neurons to control the activation levels of subsets of muscles in a real-time musculoskeletal simulation of a paralyzed arm. The monkeys will be given juice rewards when they successfully move the simulated arm to different targets. In aim1 the monkeys will control movements of the model arm in the horizontal plane by controlling the activation levels of six muscles. In aim 2 external forces will be applied to the model arm. The animals will have to alter the muscle activation levels (by alternating their neural firing) in order to still get the arm to the targets. Aim 3 will determine if the same level of arm control seen in aims 1 & 2 can also be achieved using only local field potentials recorded from intracortical microelectrode arrays.

描述（由申请人提供）： 能够恢复手臂和手部运动的植入式神经肌肉刺激系统现在已经在由于脊髓损伤而颈部以下瘫痪的人中实施。皮质内微电极阵列目前也在其他瘫痪患者身上进行测试，以长期记录运动皮质的神经活动。通过结合这两种技术，我们可以开发出完整的系统，绕过脊髓损伤，通过思维恢复脊髓损伤患者的自然运动。然而，如果大脑信号被解码成运动的运动学方面（例如，肢体位置、速度、关节角度等），那么我们仍然需要开发额外的技术来将这些运动学命令转换成产生所需运动所需的肌肉刺激模式。这不是一项微不足道的任务。在这项研究中，我们将评估重新训练贝恩直接控制肌肉刺激器的替代方法，从而绕过如何最好地将一个人的预期运动转化为产生这些运动的肌肉激活水平的挑战性和仍然开放的问题。几项研究表明，在健全的动物中，局部场电位和运动皮层神经元的放电率与记录的肌肉活动相关。然而，在这项研究中，我们专门测试了运动皮层是否可以重新训练，以控制瘫痪肢体产生所需运动所需的肌肉激活水平，其中只有一部分正常肌肉可以受到刺激，并且肌肉在瘫痪后萎缩。由于皮质内记录电极并不总是能够检测个体神经元的放电，因为身体随着时间的推移封装电极，我们还将比较使用记录的神经元的放电率来控制肌肉刺激器与使用更鲁棒地记录的局部场电位来控制肌肉刺激器的有效性。我们将在这项研究中使用的新解码方法可以在临床上应用于瘫痪的个体，而不仅仅是身体健全的动物。在目标1-2中，猴子将被训练使用运动和前运动皮层神经元的整体放电率来控制肌肉亚群的激活水平，在瘫痪手臂的实时肌肉骨骼模拟中，当猴子成功地将模拟手臂移动到不同的目标时，他们将获得果汁奖励。在aim 1中，猴子将通过控制六块肌肉的激活水平来控制模型手臂在水平面上的运动。在目标2中，外力将施加到模型臂上。动物将不得不改变肌肉激活水平（通过交替它们的神经刺激）。 射击）以便仍然使手臂到达目标。目标3将确定是否同一水平的手臂 在目标1和2中看到的控制也可以仅使用从皮层内微电极阵列记录的局部场电位来实现。