Static and Dynamic Organization of Primate Motor Cortex

描述：（申请人提供） 这项工作的总体目标是了解运动皮层如何构建 运动计划并将其作为行动来实施。本项目以前的工作 表明，猕猴的神经群体活动， 运动皮层（MI）皮层预测手在到达运动期间的轨迹。 对于MI来说，为了引导到达目标，关于身体的空间信息 世界必须转变成一个发动机框架。顶叶皮质是 很可能提供这种空间框架，但对它知之甚少。 额顶叶相互作用顶叶区5d提供对MI的直接输入， 是手臂运动、注视和视觉目标信息一个可能的来源。的 拟议的研究将使用100个电极记录阵列， 5d和MI研究神经编码和相互作用， 跟踪随机移动的视觉目标（CRT任务）。这部小说的录音 方法允许直接和同时检查神经元在两个 在相同的行为条件下相互连接的区域。新的CRT任务 提供了一个统计基础的穗和人口分析，这些 神经元 AIM 1实验将比较CRT期间的5d和MI神经元。运动、凝视和 视觉信号时空感受野将被表征， 信息内容将通过重建手运动、眼运动和眼运动来评估。 位置和视觉信号。每个区域的编码将 可以进行比较，以确定信息交换的形式和时间进程。目的 2个实验将确定5d-MI网络是否编码运动， 抽象空间或基于身体部位的框架。这些实验将进一步 测试信息是否在手部、关节或肌肉坐标中。AIM 3将 测试5d-MI网络是否参与基于线索的运动计划， 预测视觉刺激的未来行为，或基于运动的 内部代表。这些实验将测试MI-5d是否 网络使用预测性视觉线索来构建即将到来的运动计划 以及这些网络是否为学习的运动序列计算运动。的 拟议的实验将提供新的信息， 计算，包括它们的串行和并行处理， 坐标系他们也将有助于推进多电极记录 用于单个神经元的统计评估的技术和方法， 人口编码最后，这些实验的结果将有助于 设计神经修复装置来恢复瘫痪的人的运动。

DESCRIPTION:(provided by applicant) The overall goal of this work is to understand how the motor cortex constructs movement plans and implements them as actions. Previous work in this project demonstrated that neural population activity in the macaque monkey primary motor cortex (MI) cortex predicts hand trajectory during reaching movements. For MI to direct reaching towards a goal, spatial information about the body and the world must be transformed into a motor framework. Parietal cortex is likely to provide this spatial framework, but little is known about frontoparietal interactions. Parietal area 5d provides direct input to MI and is one likely source of arm motion, gaze, and visual target information. The proposed studies will use 100 electrode recording arrays chronically implanted into 5d and MI to study of neural encoding and interactions during continuous tracking of a randomly moving visual target (CRT task). This novel recording method allows the direct and simultaneous examination of neurons in two interconnected areas under identical behavioral conditions. The new CRT task provides a statistical basis for spike and population analysis of these neurons. AIM 1 experiments will compare 5d and MI neurons during CRT. Motor, gaze and visual signal spatiotemporal receptive fields will be characterized and neural information content will be evaluated by reconstructing hand motion, eye position and visual signal from population activity. Encoding in each area will be compared to determine the form and time course of information exchanged. AIM 2 experiments will determine whether 5d-MI networks encode movement in an abstract spatial or body-part based framework. These experiments will further test whether information is in hand, joint or muscle coordinates. AIM 3 will test whether 5d-MI networks are engaged in motor plans based on cues that predict the future behavior of the visual stimulus, or about movement based upon internal representations. These experiments will test whether MI -5d networks use predictive visual cues to construct plans for upcoming movement and whether these networks compute motions for learned movement sequences. The proposed experiments will provide new information about corticocortical computations, including their serial and parallel processing and their coordinate frames. They will also help to advance multielectrode recording technologies and methods for statistical evaluation of single neuron and population coding. Finally, the results of these experiments will be useful in designing neural prosthetic devices to restore movement in paralyzed humans.