Mechanisms of Active Sensing in Drosophila

果蝇主动感知机制

• 批准号: 10012952
• 负责人: MARIE SUVER
• 金额: $ 13.4万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10012952
• 关键词: Afferent Neurons; Animal Model; Animals; BRAIN initiative; Behavior; Behavioral; Biological Models; Brain; Cell model; Cells; Characteristics; Closure by clamp; Data; Disease; Drosophila genus; Drosophila melanogaster; Electrophysiology (science); Environmental Wind; Esthesia; Failure; Fingers; Flying body movement; Genetic; Genetic Models; Goals; Grant; Hand; Human; Immunohistochemistry; Insecta; Label; Learning; Location; Machine Learning; Measures; Mechanoreceptors; Mediating; Mentors; Mission; Modeling; Molecular; Motor; Motor Neurons; Movement; Muscle; Nervous System Physiology; Nervous system structure; Neurons; Neurotransmitters; Odors; Phase; Population; Process; Regulation; Research; Resolution; Role; Schizophrenia; Sensory; Shapes; Signal Transduction; Speed; Stains; Stimulus; Study models; System; Testing; Touch sensation; Translating; Walking; Work; autism spectrum disorder; expectation; experimental study; fly; goal oriented behavior; insight; machine learning algorithm; neural circuit; novel; optogenetics; response; sensor; sensory stimulus; tool

The goal of this project is to study the cellular basis of active sensation. A crucial function of all nervous systems is to distinguish between sensory stimuli originating from the external world and that generated by our own movements. This task relies on brain circuits that integrate sensory information with an internal model, or expectation, of self-generated movements. The complexity and intractability of many models used to study active sensing means that translating insights from these studies to failures of normal nervous system function remains challenging. Fruit flies (Drosophila melanogaster) actively move their antennae, and my recent work has elucidated a neural circuit that processes mechanosensory information from the antenna. Given the power of Drosophila as a genetic model organism, this project aims to develop the neural circuits controlling and sensing antennal movement as a cellular model for studying principles of active sensing. In the K99 (mentored) portion of this grant, I will identify the cellular location at which self- versus externally-generated mechanosensory signals become differentially represented in the brain. I will make electrophysiological recordings of intracellular activity from 2nd and 3rd order mechanosensory neurons and compare how these two populations encode passive and active movements of the antennae. I will distinguish between these two types of movements using machine learning analysis of simultaneously recorded video data. For the R00 (independent) phase, I will use optogenetics and immunohistochemistry to identify motor neurons that control antennal movement. I will then ask where input from motor neurons impinge on the sensory circuit. Finally, I will test the role of active antennal movements in behavior. By perturbing active antennal movements in freely walking and flying flies, I will directly test how these movements enable different behavioral tasks such as wind orientation and obstacle avoidance. Together, these experiments will identify the cellular basis for active sensing in Drosophila, and their role in goal- oriented behaviors.

这个项目的目标是研究主动感觉的细胞基础。所有神经系统的一个关键功能是区分来自外部世界的感官刺激和我们自己的运动产生的刺激。这项任务依赖于大脑回路，它将感官信息与自我生成运动的内部模型或预期整合在一起。用于研究主动传感的许多模型的复杂性和棘手性意味着将这些研究的见解转化为正常神经系统功能的故障仍然具有挑战性。果蝇（Drosophila melanogaster）主动移动它们的触角，我最近的工作阐明了一个处理来自触角的机械感觉信息的神经回路。鉴于果蝇作为遗传模式生物的力量，本项目旨在开发控制和感知触角运动的神经回路，作为研究主动感知原理的细胞模型。在K99（指导）部分，我将确定自我与外部产生的机械感觉信号在大脑中表现差异的细胞位置。我将从第二和第三阶机械感觉神经元的细胞内活动的电生理记录，并比较这两个群体如何编码被动和主动运动的天线。我将使用机器学习分析同时记录的视频数据来区分这两种类型的运动。对于R00（独立）阶段，我将使用光遗传学和免疫组织化学来识别控制触角运动的运动神经元。然后我会问运动神经元的输入在哪里影响感觉回路。最后，我将测试主动触角运动在行为中的作用。通过干扰自由行走和飞行苍蝇的主动触角运动，我将直接测试这些运动如何实现不同的行为任务，如风向和避障。总之，这些实验将确定果蝇主动感知的细胞基础，以及它们在目标导向行为中的作用。