Integration of Motor Programs Across Space and Time

跨空间和时间的运动程序整合

• 批准号: 7248059
• 负责人: JAMES C HOUK
• 金额: $ 123.83万
• 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 2009-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7248059
• 关键词: Integration; Motor; Programs; Across; Space

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小组的合作努力。我们将探索大脑跨空间和时间整合运动程序的非凡能力。达特茅斯学院的斯科特·格拉夫顿 (Scott Grafton) 博士将利用功能性 MRI 和经颅磁刺激来描述人类在线调整误差、适应持续扰动和技能学习的神经基质。麻省理工学院的 Emilio Bizzi 博士将针对运动皮层如何解决将计划好的手部运动转化为执行此任务所需的复杂运动命令集的问题提出新的视角。匹兹堡大学的 Peter Strick 博士将使用非人类灵长类动物的微电极记录和运动区域活动的 2DG 标记来描述如何将动作序列合并在一起并在线调整以创建熟练的动作。西北大学的 James Houk 博士将使用皮层下神经元及其投射到的皮层神经元的配对微电极记录，描述上述每项任务中通过基底神经节和小脑的皮层下环路的调节作用。马萨诸塞大学阿默斯特分校的安迪·巴托博士将探索每项运动任务的计算模型。核心 A 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，协作核心 B 将资助两个或多个 PI 之间的合作，以促进我们比较跨越广泛空间和时间的神经生理学数据的能力解决。这些相互关联的项目的支持应该会产生超出每个项目单独进行时所能达到的结果，并且有望显着提高我们对运动项目如何跨空间和时间整合的认识。