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: 9268449
• 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/9268449
• 关键词: Address; Alzheimer' s Disease; Anatomy; Anterior; Area; Auditory; Auditory area; Autistic Disorder; Axon; Behavioral; Brain; Brain region; Calcium; Categories; 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; Population Analysis; 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; experimental study; insight; nervous system disorder; novel strategies; optical imaging; public health relevance; 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（应用程序提供）：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）是安排这种通信的关键界面。主要模型基于私人和啮齿动物的广泛工作，假设PPC将感觉和认知信号（例如指导导航的人）与推动即将到来的运动动作的决策和计划联系起来。因此，预计PPC将接收感官信号作为输入，并传输有关导航决策和计划的信号。尽管PPC函数的所有模型都依赖于PPC与其他多个区域之间的相互作用，但目前尚未了解PPC收到的输入信号以及PPC如何将输出信息路由到目标区域，这在很大程度上是由于技术限制所致。在这里，我们将发展和 实施新方法，直接测量PPC输入和输出通道中包含的信号。我们的方法是在鼠标中使用光学成像和解剖学跟踪技术与虚拟现实环境中的行为任务结合使用。在第一个目标中，我们将研究如何在导航决策任务期间如何将与感觉和运动事件相关的信息路由信息。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通常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编码的特定功能 感觉世界，例如空间信息，以及如何根据行为相关性和行为状态调制到PPC的输入信号。这项工作将共同提高我们对信息传感器处理的多区域网络中信息传输的理解，这对于几乎所有复杂的行为任务至关重要。