Integrative Functional Mapping of Sensory-Motor Pathways

感觉运动通路的综合功能图谱

• 批准号: 9116964
• 负责人: Michael H Dickinson
• 金额: $ 101.84万
• 依托单位: CALIFORNIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-30 至 2018-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9116964
• 关键词: Address; Animal Model; Animals; Behavior; Behavioral; Behavioral Paradigm; Biomechanics; Brain; Brain region; Cell physiology; Cells; Computer Simulation; Development; Drosophila genus; Electrophysiology (science); Elements; Ensure; Flying body movement; Functional Imaging; Functional disorder; Genetic; Goals; Health; Human; Image; Individual; Knowledge; Lead; Limb Prosthesis; Locomotion; Maps; Membrane; Methods; Modality; Modeling; Motor; Motor Pathways; Movement; Movement Disorders; Neurobiology; Neurons; Online Systems; Optics; Parkinson Disease; Patients; Population; Process; Prosthesis; Research; Robotics; Sensory; Sensory Process; Speed; Spinal cord injury; Strategic Planning; Stroke; Testing; Walking; Work; analytical tool; base; design; innovation; insight; mathematical model; neural circuit; neuronal cell body; optogenetics; relating to nervous system; research study; response; sensory stimulus; tool; two-photon; voltage

 DESCRIPTION (provided by applicant): The goal of the project team is to develop a robust, multi-lab research framework, enabled by large scale imaging, which will lead to principled integrative models of ethologically-relevant behaviors that incorporate a detailed knowledge of individual cell classes. The specific neurobiological question that the team will address is how the brain integrates sensory information in order to guide locomotion in a particular direction. Our strategy is to systematically map and functionally characterize the neural circuits that underlie goal-directed locomotion, using the fruit fly, Drosophila, in order to exploit the convergence of powerful genetic, optical, behavioral, and analytical tools that are available in this species. The proposal focuses primarily on refining functional imaging approaches to map the activity of small brain regions and populations of individual neurons in intact, behaving animals while they respond to a controlled panel of sensory stimuli. We have constructed a strategic plan consisting of seven interrelated research modules that create a flow for discovery that starts with functional imaging and ends with the development of integrative models for sensory-guided behavior. The goal of this proposal is to bring all research modules to the requisite level of maturity for future research. To achieve this goal this project will develop robust, quantitative and high throughput methods for: Functional 2-photon imaging using pan-neural drivers. ArcLight imaging using selected driver lines. Functional 2-photon imaging using pan-neural drivers. Circuit analysis of sensory motor pathways. And a plan for an integrative computational model of sensory-guided locomotion.

 描述（由适用提供）：项目团队的目标是开发一个由大规模成像启用的强大的多LAB研究框架，这将导致主要集成的与伦理学相关的行为模型，以结合单个单元格的详细知识。团队将要解决的具体神经生物学问题是大脑如何整合感官信息以指导特定方向的运动。我们的策略是使用果蝇，果蝇，系统地绘制和功能表征，这些神经元是基于目标定向的运动的基础，以探索该物种中可用的强大遗传，光学，行为，行为和分析工具的收敛性。该提案主要着重于精炼功能成像方法，以绘制完整中各个神经元的小脑区域和种群的活动，表现动物对受控人的反应，我们构建了一个战略计划，该计划由七个相互关联的研究模块组成，这些研究模块由七个相互关联的研究模块组成，这些模块创造了一种发现功能成像的流程，并以综合模型的发展模型开发了感官指导的模型。该提案的目的是将所有研究模块提高到所需的成熟度，以进行未来的研究。为了实现这一目标，该项目将开发出强大的，定量和高通量的方法，用于以下：使用泛神经驱动器功能2光子成像。使用选定的驱动程序线的Arclight成像。使用泛神经驱动器的功能性2光子成像。感官电路路径的电路分析。以及一个综合计算模型的感觉引导的运动模型。