SENSORIMOTOR TRANSFORMATIONS IN CORTICAL MOTOR AREAS

皮质运动区域的感觉运动转换

• 批准号: 6151626
• 负责人: GARRETT E ALEXANDER
• 金额: $ 19.57万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-02-10 至 2003-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6151626
• 关键词: Macaca mulatta; biological models; electromyography; limb movement; motor cortex; motor neurons; neural information processing; neural recruitment; neuromuscular transmission; psychomotor function; sensorimotor system; space perception; statistics /biometry; visual feedback; visual perception; visual stimulus

The goal of this research is to learn how the cortical motor fields (CMFs) use exteroceptive and contextual information in the selection and planning of visually instructed limb movements. Studies of neuronal activity in cortical motor areas suggest the orderly recruitment of sensory-related, followed by associative, followed by motor-related activity during such behaviors. These and other observations suggest a model of the CMFs in which sensory-to-motor transformations (SMTs) required for visual instructed limb movements are distributed both in time, within each motor field, and in space, across the network of CMFs. Among the model's predictions are early recruitment of CMFs engaged in sensory and associative processing of visual information, and later recruitment of areas whose processing is more strictly motor. This proposal has 4 specific aims: SA1: To test the hypothesis that for spatial SMTs in which the location of a visual stimulus (IS) instructs a targeted limb movements instructed there is a common sequence of neuronal recruitment (sensory-related-greater than-greater than motor- related activity) within each participating CMF. Neuronal activity will be sampled from motor cortex (MC), the dorsaal premotor area (PMd), and pre-PMd in monkeys performing tasks that dissociate sensory, associative, and motor-related processing. Multiple regression will be used in a continuous time course analysis to determine the proportions of each cell's activity attributable to the 3 types of processing. Population analyses will assess whether recruitment follows the predicted pattern within each region. SA2: To test the hypothesis that spatial SMTs entail a cascading sequence of neuronal recruitment distributed across the network of CMFs, with early recruitment of CMFs engaged in sensory processing, followed in turn by those specialized for associative and finally motor processing. Data collected from MC, PMd, and pre-PMd in SA1 will be compared across regions, to determine whether the pattern of neuronal recruitment distributed across the network of CMFs conforms to the model's predictions. SA3: To test the hypothesis that within each participating CMF the same sequence of neuronal recruitment predicted for spatial SMTs (SA1) holds for visual SMTs that are non-spatial. Neuronal activity will be sampled from MC, the supplementary motor area (SMA), and pre-SMA in monkeys performing non- targeted limb movements instructed by the colors and shapes (not locations) of visual stimuli. Data will be analyzed in the same manner as in SA1. SA4: To test the hypothesis that non-spatial SMTs entail a pattern of neuronal recruitment distributed across the network of CMFs comparable to that predicted for spatial SMTs (SA2). Data collected from MC, SMA, and pre-SMA in SA3 will be compared across CMFs to assess whether the pattern of recruitment distributed across the network conforms to the model's predictions.

这项研究的目的是了解大脑皮层运动场 （CMF）在选择中使用外部感受和上下文信息， 规划视觉指导的肢体运动。神经元研究 皮质运动区的活动表明， 感觉相关，其次是联想，其次是运动相关 在这种行为中。 这些和其他观察表明， CMF模型，其中感觉到运动转换（SMT） 所需的视觉指示肢体运动分布在两个 时间，在每个运动场内，以及空间，跨CMF网络。 该模型的预测之一是早期招募的CMF从事 视觉信息的感官和联想处理，以及 招募的地区，其处理更严格的电机。 这 建议有4个具体目标：SA 1：为了测试假设， 空间SMT，其中视觉刺激（IS）的位置指示 指示有针对性的肢体运动有一个共同的序列 神经元募集（感觉相关-大于-大于运动相关- 相关活动）。 神经元活动 将从运动皮层（MC）、背侧运动前区（PMd） 和前PMd在猴子执行任务，分离感官， 联想和运动相关的处理。 多元回归将是 用于连续时间过程分析，以确定 每个细胞的活动归因于3种类型的处理。 人口分析将评估征聘是否遵循 每个区域内的预测模式。SA 2：为了检验假设， 空间SMTs需要神经元募集级联序列 分布在CMF网络中，早期招募CMF 参与感觉处理的，然后是那些专门用于 最后是运动处理。 数据收集自MC、PMd、 将在各区域之间比较SA 1中的PMd和PMd前，以确定 神经元募集的模式分布在整个网络中， CMF符合模型的预测。SA 3：检验假设 在每个参与的CMF中， 预测的空间SMTs（SA 1）募集适用于视觉SMTs， 是非空间的。 神经元活动将从MC取样， 补充运动区（SMA），和前SMA在猴子执行非- 有针对性的肢体运动指示的颜色和形状（不 视觉刺激（visual stimulus） 将以相同的方式分析数据 如SA 1。SA 4：为了检验非空间SMT需要 分布在CMF网络中的神经元募集模式 与空间SMT（SA 2）的预测值相当。 收集的数据 将在CMF中比较SA 3中来自MC、SMA和SMA前的数据，以评估 招募的模式是否分布在整个网络中 符合模型的预测。