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）