Parietal cortex networks for sensorimotor processing during navigation

顶叶皮层网络用于导航过程中的感觉运动处理

• 批准号: 8960382
• 负责人: Christopher D Harvey
• 金额: $ 36.16万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2020-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8960382
• 关键词: Address; Alzheimer' s Disease; Anterior; Area; Auditory; Auditory area; Autistic Disorder; Axon; Behavioral; Brain; Brain region; Calcium; Code; Cognitive; Communication; Complex; Cues; Data; Disease; Environment; Event; Foundations; Frequencies; Gap Junctions; Head; Health; Image; Individual; Link; Location; Measures; Modeling; Motor; Movement; Mus; Neurons; Output; Parietal Lobe; Pattern; Perception; Population; Primates; Process; Rodent; Role; Route; Sampling; Schizophrenia; Sensory; Short-Term Memory; Signal Transduction; Specific qualifier value; Stimulus; System; Technology; Testing; Time; Visual; Work; anatomical tracing; awake; base; cingulate cortex; insight; nervous system disorder; novel strategies; optical imaging; public health relevance; research study; sound; sound frequency; tool; transmission process; two-photon; virtual; virtual reality; way finding

 DESCRIPTION (provided by applicant): Sensorimotor processing during spatial navigation requires the communication between a large number of brain areas. The posterior parietal cortex (PPC) is a crucial interface for arranging this communication. Leading models, based on extensive work in primates and more recently in rodents, hypothesize that the PPC links sensory and cognitive signals, such as those that guide navigation, with the decisions and plans that drive upcoming locomotor actions. The PPC is therefore predicted to receive sensory signals as inputs and to transmit signals regarding navigation decisions and plans. Although all models of PPC function rely on the interaction between the PPC and multiple other regions, it is currently poorly understood what input signals the PPC receives and how the PPC routes output information to target regions, in large part due to technical limitations. Here we will develop and implement new approaches to measure directly the signals contained in the PPC's input and output channels. Our approach will be to use optical imaging and anatomical tracing technologies in the mouse in combination with behavioral tasks in virtual reality environments. In a first aim, we will examine how the PPC routes information related to sensory and motor events during navigation decision tasks. We will test if the PPC selectively routes different types of information to different target regions or if the PPC transmits information generally to establish widely distributed network. In a second aim, we will measure the input signals the PPC receives from the auditory cortex. We will test if these signals selectively encode specific features of the sensory world, such as spatial information, and how the input signals to the PPC are modulated depending on behavioral relevance and behavioral state. Together this work will advance our understanding of information transfer in a multi-region network for sensorimotor processing, which is essential for nearly all complex behavioral tasks.

 描述（由申请人提供）：空间导航期间的感觉运动处理需要大量大脑区域之间的通信。后顶叶皮层（PPC）是安排这种交流的关键接口。基于对灵长类动物和最近对啮齿类动物的广泛研究，领先的模型假设PPC将感官和认知信号（例如指导导航的信号）与驱动即将到来的运动动作的决定和计划联系起来。因此，预测PPC接收传感信号作为输入，并发送有关导航决策和计划的信号。尽管PPC功能的所有模型都依赖于PPC和多个其他区域之间的交互，但目前对PPC接收什么输入信号以及PPC如何将输出信息路由到目标区域的了解很少，这在很大程度上是由于技术限制。在这里，我们将开发和 采用新的方法直接测量PPC输入和输出通道中包含的信号。我们的方法将是在鼠标中使用光学成像和解剖追踪技术，并结合虚拟现实环境中的行为任务。在第一个目标中，我们将研究如何PPC路由信息相关的感官和运动事件在导航决策任务。我们将测试PPC是否选择性地将不同类型的信息路由到不同的目标区域，或者PPC是否一般地传输信息以建立广泛分布的网络。在第二个目标中，我们将测量PPC从听觉皮层接收的输入信号。我们将测试这些信号是否选择性地编码特定的特征， 感知世界，如空间信息，以及如何根据行为相关性和行为状态调制PPC的输入信号。这项工作将促进我们对感觉运动处理多区域网络中信息传递的理解，这对几乎所有复杂的行为任务都是必不可少的。