CRCNS: Deconstructing dynamics of motor cortex in freely moving behavior

CRCNS：解构自由运动行为中运动皮层的动力学

• 批准号: 10610495
• 负责人: Scott Warren Linderman
• 金额: $ 39.98万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2027-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10610495
• 关键词: Behavior; Behavioral; Brain; Data; Development; Dimensions; Image; Individual; Instruction; Investigation; Label; Modeling; Motor; Motor Cortex; Movement; Neuraxis; Neurosciences; Organ; Persons; Recovery; Running; Stroke; Suggestion; System; Techniques; Walking; Work; brain machine interface; computational neuroscience; computerized tools; disability; free behavior; innovation; insight; interest; mind control; motor behavior; motor disorder; neural model; neuromechanism; novel; operation; relating to nervous system

PROJECT SUMMARY (See instructions): What operations are performed by the mammalian central nervous systems to coordinate and conduct voluntary movement? Motor systems neuroscience seeks to understand these neural mechanisms. The last two decades have witnessed a transformation in this field with the use of multielectrode recordings and statistical estimation and modeling techniques. These technological advances have yielded rich, low-dimensional neural dynamics that are suggestive of the mechanisms underlying behavior. To minimize confounds, the overwhelming majority of these studies utilize behavioral constraint to isolate just the behaviors of interest for study. While effective for generating many behaviorally similar trials, this may have the unintentional consequence of artificially constraining neural dynamics to a subset of its full range. This project seeks to better understand the full repertoire of behavior in a freely-moving setting and model this neural activity using novel computational tools. This project combines the expertise of two neuroscientists with complemenary skillsets spanning systems and computational neuroscience. This project will involve acquiring novel, freely-moving data using the recent advances in depth imaging cameras and modeling the dynamics of the labelled neural data with innovative switching dynamical models. TThis combined expertise will be applied to the investigation of the initiation vs sustaining of movement, the decomposition of walking periods into distinct dynamical regimes, and an analysis of foraging behavior. Taken together, these studies will further our understanding of how neural dynamics drive unconstrained motor behavior. This insight has implications for the development of ambulatory brain-machine interfaces and may inform the treatment of individuals with motor disorders such as stroke.

项目摘要（参见说明）： 哺乳动物中枢神经系统执行哪些操作来协调和进行 随意运动？运动系统神经科学试图理解这些神经机制。这 过去二十年来，随着多电极记录的使用，这一领域发生了转变 以及统计估计和建模技术。这些技术进步带来了丰富的、 暗示行为背后机制的低维神经动力学。到 为了最大限度地减少混淆，这些研究中的绝大多数利用行为约束来隔离 研究感兴趣的行为。虽然可以有效地生成许多行为相似的试验，但这可能 人为地将神经动力学限制为其完整的子集，从而产生了无意的后果 范围。 该项目旨在更好地理解自由移动的环境和模型中的全部行为 这种神经活动使用新颖的计算工具。该项目结合了两个人的专业知识 具有跨越系统和计算神经科学的互补技能的神经科学家。这 该项目将涉及利用深度成像的最新进展获取新颖的、自由移动的数据 相机并通过创新的切换动态对标记神经数据的动态进行建模 模型。 这种综合的专业知识将应用于运动的启动与维持的调查， 将行走周期分解为不同的动态状态，并对觅食进行分析 行为。 总而言之，这些研究将进一步加深我们对神经动力学如何不受约束地驱动的理解 运动行为。这一见解对动态脑机接口的发展具有重要意义 并可能为患有中风等运动障碍的个体的治疗提供信息。