Integration of Motor Programs Across Space and Time

跨空间和时间的运动程序整合

• 批准号: 6760065
• 负责人: JAMES C HOUK
• 金额: $ 125.36万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-06-15 至 2008-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6760065
• 关键词: body movement; clinical research; neuromuscular system; psychomotor function

DESCRIPTION (provided by applicant) This PPG proposal describes a collaborative effort by five distinguished motor systems groups at five prominent institutions. We will probe the brain's remarkable capacity for the Integration of Motor Programs Across Space and Time. Dr. Scott Grafton, at Dartmouth College, will characterize the neural substrates for the on-line adjustment of errors, for adaptation to persistent perturbations and for skill learning in humans, using functional MRI and transcranial magnetic stimulation. Dr. Emilio Bizzi, at MIT, will develop a new perspective on how the motor cortex solves the problem of transforming a planned hand movement into the intricate set of motor commands needed to carry out this task. Dr. Peter Strick, at the University of Pittsburgh, will characterize how sequences of movements are merged together and adjusted on-line to create skilled actions, using microelectrode recording in non-human primates and 2DG labeling of activity in the motor areas. Dr. James Houk, at Northwestern University, will characterize the regulatory actions of subcortical loops through the basal ganglia and cerebellum in each of the above tasks, using paired microelectrode recordings from subcortical neurons and the cortical neurons to which they project. Dr. Andy Barto, at the University of Massachusetts at Amherst, will explore computation models of each of the motor tasks. Core A support for videoconferencing and administration will facilitate strategic collaborations between the investigators at different institutions, and a Collaborative Core B will fund collaborations between two or more of the PIs to facilitate our ability to compare neurophysiologic data spanning a broad range of both spatial and temporal resolution. The support of these interrelated projects should yield results beyond those achievable if each project were pursued separately, and can be expected to significantly advance our knowledge about how motor programs are integrated across space and time.

描述（由申请人提供） 该PPG提案描述了五个著名机构的五个杰出运动系统组的合作努力。我们将探究大脑在跨时空整合运动程序的显着能力。达特茅斯学院（Dartmouth College）的斯科特·格拉夫顿（Scott Grafton）博士将描述用于在线调整错误的神经底物，以适应使用功能性MRI和经颅磁刺激，以适应持续的扰动和人类技能学习。麻省理工学院的Emilio Bizzi博士将开发一个新的观点，说明运动皮层如何解决将计划的手动运动转变为执行此任务所需的复杂电动机命令集的问题。匹兹堡大学的彼得·斯特里克（Peter Strick）博士将如何使用非人类灵长类动物的微电极记录和运动区域的活动2DG标记，并在线调整运动序列如何合并并在线调整以创建熟练的动作。西北大学的詹姆斯·霍克（James Houk）博士将使用上述每个任务中的基底神经节和小脑对皮层下环的调节作用，并使用来自皮层神经元和皮质神经元的配对微电极记录，并向其项目进行。马萨诸塞大学阿默斯特大学的安迪·巴托（Andy Barto）博士将探索每个运动任务的计算模型。核心对视频会议和管理的支持将促进不同机构的研究人员之间的战略合作，而协作核心B将资助两个或多个PI之间的合作，以促进我们比较神经生理数据的能力，从而跨越了广泛的空间和时间分辨率。如果每个项目被单独进行，则这些相互关联的项目的支持应产生超出可实现的结果的结果，并且可以预期，可以显着促进我们如何在时间和时间整合汽车计划的知识。