Neuroprosthesis development utilizing afferent neural activity recorded with non-

利用非记录的传入神经活动开发神经假体

• 批准号: 8324058
• 负责人: Timothy M. Bruns
• 金额: $ 5.18万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8324058
• 关键词: Acceleration; Address; Animal Experiments; Animals; Anogenital region; Attention; Back; Calibration; Cells; Chronic; Clinical; Complex; Cutaneous; Development; Devices; Disease; Electric Stimulation; Electrodes; Evaluation; Face; Family Felidae; Fatigue; Feedback; Felis catus; Financial compensation; Future; Goals; Human; Implant; Individual; Institutional Review Boards; Joints; Leg; Limb structure; Location; Locomotion; Lower Extremity; Mechanics; Methods; Microelectrodes; Modeling; Monitor; Motor; Movement; Muscle; Nerve; Nervous system structure; Neurons; Operative Surgical Procedures; Output; Pathway interactions; Patients; Positioning Attribute; Protocols documentation; Research; Route; Sensory; Signal Transduction; Spinal Cord; Spinal Ganglia; Spinal cord injury; Structure; Surface; System; Tactile; Techniques; Technology; Testing; Time; Tissues; Touch sensation; Translations; Update; Vertebral column; Work; afferent nerve; animal data; base; bone; design; human subject; joint mobilization; limb movement; neuronal cell body; neuroprosthesis; relating to nervous system; research clinical testing; research study; response; sensor; sensory feedback; somatosensory; success; technology development

DESCRIPTION (provided by applicant): The goal of this work is the development of a practical, non-penetrating somatosensory neural interface at the level of the dorsal root ganglia (DRG), for use as sensory feedback. The DRG is an ideal location to record somatosensory neural signals which convey body-state information such as tactile and proprioceptive feedback from the limbs. These signals can be used as control signals in closed loop functional electrical stimulation (FES) applications in which the position of a limb is decoded and used to regulate the FES system to adapt to fatigue or the addition of a load or to perform complex, multi-joint movements smoothly. Internal neural interface sensors, such as these may be minimally obtrusive and integrate easily with implanted neuroprostheses while not requiring the large number of sensors or regular donning and calibration that external sensors do. Our lab has shown the ability to decode limb position with high accuracy from recordings of primary afferent neural activity with penetrating microelectrodes inserted in lumbar DRG, and has applied these signals as feedback within closed-loop FES control of the lower limb. However, the efficacy of long-term recordings from these penetrating electrodes has yet to be established, and recordings with penetrating electrodes in humans are challenging to obtain. We hypothesize that recordings from the surface of the DRG may be sufficient for extracting detailed information about limb position and may provide a more practical route for clinical evaluations. Unlike other neural structures, cell bodies are packed closely under the DRG perineum, making it an ideal candidate for obtaining activity from individual cells without using penetrating electrodes. Also, this surface approach may have a higher efficacy in long-term recordings, due to a reduced tissue response, than penetrating electrodes. Recently we showed that recordings from the surface of the DRG, with non-penetrating electrodes, can yield neural signals that can be used to predict the state of the limb, in animal studies. We will evaluate two specific aims in the research planned in this study. Aim 1: In animal experiments, we will evaluate the ability of neural recordings from non-penetrating electrodes on the L6 and L7 DRG to provide functional closed loop control of FES controlled lower limb stepping movements. This study will establish the utility of this approach, by indicating whether a sufficient range of neural activity can be recorded from, to obtain feedback towards functional limb movements. Aim 2: In intraoperative human experiments, we will evaluate the ability of non-penetrating electrodes placed on the surface of exposed DRG to record neural activity that predicts mechanical and vibratory stimulation applied to the lower leg. This study will obtain the first recordings from DRG in humans and demonstrate that we are able to decode human DRG activity. Success in this proposed work will be an important advance towards development of closed-loop neuroprostheses based on this non-penetrating DRG approach and will drive future studies on extended duration animal and human recordings using optimized electrodes.

描述（由申请人提供）： 这项工作的目标是在背根神经节（DRG）水平开发一种实用的、非穿透性的体感神经接口，用作感觉反馈。 DRG 是记录体感神经信号的理想位置，体感神经信号传达身体状态信息，例如来自四肢的触觉和本体感觉反馈。这些信号可用作闭环功能性电刺激 (FES) 应用中的控制信号，其中肢体的位置被解码并用于调节 FES 系统以适应疲劳或增加负载或执行复杂的多任务。 -关节活动顺畅。诸如此类的内部神经接口传感器可能不太显眼，并且可以轻松地与植入的神经假体集成，同时不需要外部传感器那样的大量传感器或定期佩戴和校准。我们的实验室已经展示了通过插入腰椎 DRG 中的穿透微电极记录初级传入神经活动来高精度解码肢体位置的能力，并将这些信号作为下肢闭环 FES 控制中的反馈。然而，这些穿透电极的长期记录的功效尚未确定，并且在人体中使用穿透电极进行记录也具有挑战性。我们假设来自 DRG 表面的记录可能足以提取有关肢体位置的详细信息，并且可能为临床评估提供更实用的途径。与其他神经结构不同，细胞体紧密排列在 DRG 会阴下方，使其成为在不使用穿透电极的情况下从单个细胞获取活动的理想候选者。此外，由于组织反应减少，这种表面方法在长期记录中可能比穿透电极具有更高的功效。最近，我们在动物研究中表明，使用非穿透性电极从 DRG 表面进行记录可以产生可用于预测肢体状态的神经信号。我们将评估本研究计划的研究的两个具体目标。目标 1：在动物实验中，我们将评估 L6 和 L7 DRG 上非穿透性电极的神经记录为 FES 控制的下肢步进运动提供功能性闭环控制的能力。这项研究将通过表明是否可以记录足够范围的神经活动来获得对功能性肢体运动的反馈来确定这种方法的实用性。目标 2：在术中人体实验中，我们将评估放置在暴露的 DRG 表面的非穿透性电极记录神经活动的能力，从而预测施加到小腿的机械和振动刺激。这项研究将获得人类 DRG 的第一个记录，并证明我们能够解码人类 DRG 活动。这项拟议工作的成功将是基于这种非穿透性 DRG 方法的闭环神经假体开发的重要进步，并将推动未来使用优化电极进行长时间动物和人类记录的研究。