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: 10666693
• 负责人: Scott Warren Linderman
• 金额: $ 40万
• 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/10666693
• 关键词: Behavior; Behavioral; Brain; Central Nervous System; Data; Development; Dimensions; Electrodes; Image; Individual; Instruction; Investigation; Label; Modeling; Motor; Motor Cortex; Movement; Neurosciences; Organ; Persons; Recovery; Running; Stroke; System; Techniques; Technology; Walking; Work; brain machine interface; computational neuroscience; computerized tools; disability; free behavior; innovation; insight; interest; mind control; motor behavior; motor disorder; neural; neural model; neuromechanism; novel; operation; skills

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（请参阅说明）： 哺乳动物中枢神经系统执行什么操作以协调和进行 自愿运动？运动系统神经科学试图了解这些神经机制。这 过去二十年来，通过使用多电极记录，在该领域发生了转变 以及统计估计和建模技术。这些技术进步已经富裕， 低维的神经动力学表明了基本行为的机制。到 最小化混淆，这些研究的绝大多数利用行为约束以隔离 研究的行为。虽然有效地产生了许多行为相似的试验，但这可能 具有人为地限制神经动力学的一部分的无意后果 范围。 该项目旨在更好地理解在自由移动的环境和模型中的全部行为曲目 这种神经活动使用新颖的计算工具。该项目结合了两个的专业知识 神经科学家具有跨系统和计算神经科学的同志技能。这 项目将涉及使用最新的深度成像中的最新进步来获取新颖的自由移动数据 相机和建模具有创新切换动力学的标记神经数据的动力学 型号。 这将应用这一组合专业知识，用于调查启动与维持运动的启动， 步行期分解为不同的动力学制度，并分析觅食 行为。 综上所述，这些研究将进一步了解神经动力学如何驱动不受限制 运动行为。这种见解对门诊脑机界面的发展具有影响 并可能告知对运动障碍患者（例如中风）的治疗。