Influence of Task Complexity and Sensory Feedback on Cortical Control of Grasp Force

任务复杂性和感觉反馈对皮质控制握力的影响

• 批准号: 10705074
• 负责人: Jennifer L. Collinger
• 金额: $ 125.49万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-02 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10705074
• 关键词: Address; Afferent Pathways; Anatomy; Area; Automobile Driving; Behavior; Behavioral; Cognitive; Communication; Complex; Consensus; Data; Dependence; Development; Dimensions; Electrodes; Esthesia; Exhibits; Feedback; Fingers; Freedom; Goals; Hand; Human; Implant; Injury; Knowledge; Learning Skill; Location; Mediating; Motor; Motor Cortex; Movement; Output; Participant; Pathway interactions; Peripheral; Population Dynamics; Posture; Quadriplegia; Rehabilitation therapy; Role; Sensory; Shapes; Signal Transduction; Somatosensory Cortex; Stable Populations; TACSTD2 gene; Tennis; Testing; Touch sensation; Training; Uncertainty; Variant; Work; arm; arm movement; brain computer interface; experimental study; flexibility; grasp; improved; microstimulation; motor behavior; motor control; neural; neuroregulation; novel; population based; response; sensory feedback; sensory input; skills; somatosensory; transcutaneous stimulation

ABSTRACT Humans can skillfully control their grasp during actions as complex and dynamic as swinging a tennis racket, and as simple and static as holding a briefcase. Both tasks require the use of sensory feedback to achieve and maintain an appropriate grasp force. There is evidence that motor and somatosensory cortices communicate task-relevant information in order to enable skillful movement. Our primary goal is to uncover the motor cortical dynamics underlying grasp force control and determine the extent to which these dynamics are mediated by behavioral context and corticocortical communication of somatosensory feedback. We propose to study the cortical control of grasp by leveraging the unique experimental paradigms afforded by a bidirectional human brain-computer interface study in which participants with tetraplegia have intracortical electrode arrays implanted in motor and somatosensory cortex. Previous work, primarily focused on reaching movements, has demonstrated that motor cortex exhibits population dynamics that are constrained within low- dimensional manifold. We have identified similar dynamic responses within human motor cortex that contain information about grasp force. However, these responses are task-dependent and can change as the complexity of the proximal arm movement changes. Here we will extend that work to study the context- dependence of M1 dynamics across a range of static and dynamic hand and arm movements including both overt and covert (i.e., imagined) behaviors. Sophisticated motor control relies on sensory information to shape neural control signals emanating from motor cortex, yet very little is known about the flow of information from somatosensory to motor cortex for the control of the hand. We aim to quantify the corticocortical communication pathways across a range of task contexts through the analysis of simultaneous neural recordings in motor and somatosensory cortex. We will then use intracortical microstimulation to probe these communication pathways while providing task-relevant sensory feedback as well as task-irrelevant stimulation as a control. Finally, we will use a brain-computer interface to test whether there is the potential for plasticity within the corticocortical communication circuits, or whether communication is constrained by between-area dynamics. Successful completion of this proposal will lead to new knowledge about the role of M1 in dynamic and static grasp behaviors. We will quantify how somatosensory input is communicated with M1 and whether corticocortical communication pathways can be modified through training, which has relevance to understanding skill learning and improving rehabilitation.

抽象的 人类可以在动作中巧妙地控制自己的掌握 就像拿着公文包一样简单而静态。这两个任务都需要使用感觉反馈来实现 并保持适当的掌握力。有证据表明运动和体感皮层 传达与任务相关的信息，以实现熟练的运动。我们的主要目标是发现 运动皮质动力学的基础力控制力控制并确定这些动力学的程度 由行为环境和体感反馈的皮质皮质交流介导。 我们建议通过利用由 双向人脑计算机界面研究，其中四脑的参与者具有心脏内部的 植入电动机和体感皮层的电极阵列。以前的工作，主要专注于达到 运动表明，运动皮层表现出受约束在低 - 维歧管。我们已经确定了人类运动皮层中类似的动态反应 有关抓紧力的信息。但是，这些响应是任务依赖性的，可以随着 近端手臂运动的复杂性发生变化。在这里，我们将扩展这项工作以研究环境 - M1动力学在一系列静态和动态的手和手臂运动中的依赖性包括 公开和秘密（即想象中的）行为。 复杂的电机控制依赖于感官信息来塑造电动机发出的神经控制信号 皮层，但对从体感到运动皮层的信息流很少了解 手。我们旨在量化一系列任务上下文的皮质皮质通信途径 通过分析运动和体感皮质中的同时神经记录。然后我们将使用 心脏内微刺激以探测这些通信途径，同时提供与任务相关的感觉 反馈以及任务 - 虹吸刺激作为对照。最后，我们将使用大脑计算机接口 测试皮层通信电路内是否有可塑性的潜力，或者是否存在 通信受区域间动态的约束。成功完成此建议将导致 关于M1在动态和静态掌握行为中的作用的新知识。我们将量化如何 体感输入与M1传达，以及皮层皮质通信途径是否可以是 通过培训进行修改，这与了解技能学习和改善康复有关。

项目成果

Motor cortex retains and reorients neural dynamics during motor imagery.

运动皮层在运动想象过程中保留并重新定向神经动力学。

• DOI: 10.1101/2023.01.17.524394
• 发表时间: 2023
• 期刊: bioRxiv : the preprint server for biology
• 作者: Dekleva,BrianM;Chowdhury,RaeedH;Batista,AaronP;Chase,StevenM;Yu,ByronM;Boninger,MichaelL;Collinger,JenniferL
• 通讯作者: Collinger,JenniferL