Delineation of auditory-motor population dynamics underlying sensorimotor integration in the birdsong system

鸟鸣系统中感觉运动整合的听觉运动群体动态的描绘

• 批准号: 10824950
• 负责人: Trevor Supan McPherson
• 金额: $ 4.03万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-26 至 2026-08-25
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10824950
• 关键词: Acoustics; Affect; Air Sacs; Algorithms; Anatomy; Animal Model; Area; Auditory; Basic Science; Behavior; Behavioral; Biological Assay; Biological Models; Birds; Brain; Brain region; Cell Nucleus; Chronic; Communication; Complex; Computing Methodologies; Coupled; Data; Data Analyses; Development; Dissociation; Electrophysiology (science); Engineering; European; Foundations; Future; Generations; Goals; Human; Individual; Investigation; Language; Link; Machine Learning; Measurement; Medial; Mediating; Medicine; Modeling; Motor; Names; Neurobiology; Neurons; Neurosciences; Organism; Output; Pathologic; Perception; Peripheral; Physiological; Population; Population Analysis; Population Dynamics; Process; Production; Recording of previous events; Sensory; Signal Transduction; Site; Songbirds; Source; Speech; Speech Perception; Structure; Sturnus vulgaris; System; Testing; Time; Training; Work; auditory feedback; auditory processing; bird song; brain computer interface; career; computational neuroscience; expectation; experimental study; insight; motor control; neural; neurobiological mechanism; novel; novel strategies; optogenetics; pressure; respiratory; skills; theories; tool; vocal control; vocalization

PROJECT SUMMARY Speech is a closed-loop behavior which requires the brain to continuously perceive and produce acoustic signals in real time. Current neurobiological theories of speech posit that neural population activity across auditory and motor regions is dynamically coupled during speech production, but that speech perception relies on auditory processing alone. This sensorimotor integration hypothesis would allow the brain to exploit immediate auditory feedback to fine-tune the motor actions that elicit speech. Rigorous neurobiological tests of sensorimotor integration require (1) a model system that enables the control and measurement of sensorimotor behaviors, (2) the experimental expertise to conduct large-scale neural recordings simultaneously in sensory and motor regions, and (3) the computational abilities to develop population scale analyses that assess coordination in the distributed dynamics of individual neurons. This proposal presents a synergistic combination of experiments and analyses that meet these requirements: Simultaneous recordings and perturbations of both auditory and motor regions in European starlings during birdsong production and perception are combined with novel topological data analyses (TDA) to uncover the population mechanisms that instantiate sensorimotor integration. European starlings are an ideal organism for understanding neurobiological mechanisms that support sensorimotor integration; they produce and rely on complex vocal communication signals and have a long history of use in invasive electrophysiology studies. The overarching goal of this proposal is to investigate how distributed neuronal population activity integrates auditory and motor information during closed-loop behavior—specifically birdsong. The central hypothesis of this proposal is that auditory and motor population activity is uniquely coupled when birds sing, in contrast to when birds listen to song. This hypothesis will be tested through the following specific aims: In Aim 1, simultaneously recording auditory and motor regions while birds sing and listen to song will enable an understanding of how population activity is coordinated across regions. In Aim 2, recordings from auditory regions with concurrent optogenetic inhibition of motor regions while birds sing and listen to song will enable a delineation of causal interactions between regions. Novel TDA will be used to quantify the coordination of neural activity across regions and through time, enabling mechanistic insight into how population dynamics structure song behavior. Contrasting population activity across auditory and motor areas between singing and listening will allow for the identification of dynamics unique to sensorimotor integration. In the near-term, this proposal provides a mechanistic understanding of how neuronal populations coordinate to perform sensorimotor integration in the songbird system. In the long-term, this approach will enable future research into how brain network dynamics support closed-loop behaviors, such as speech. Ultimately, this proposal will enable the training and development of a unique and synergistic combination of skills that has the potential to provide novel insight into the neurobiological mechanisms of sensorimotor integration.

项目摘要 语音是一种闭环行为，需要大脑继续感知并产生声学信号 实时。目前的言语神经生物学理论肯定了听觉跨越的神经人口活动 运动区域在语音生产过程中动态耦合，但是语音感知依赖于听觉 单独处理。这种感觉运动集成假设将使大脑能够立即开采 反馈以微调引起言语的运动动作。严格的感觉运动神经生物学测试 集成需要（1）一个模型系统，该系统可以控制和测量感觉运动行为，（2） 仅在感觉和运动中进行大规模神经记录的实验专业知识 区域，以及（3）开发人口规模分析的计算能力，评估协调 单个神经元的分布动力学。该提案提出了实验和 满足这些要求的分析：同时记录和听觉和电机的扰动 在鸟鸟生产和感知期间欧洲八哥的地区与新颖的拓扑结合 数据分析（TDA）以揭示实例化感觉运动积分的种群机制。欧洲的 八哥是理解支持感觉运动的神经生物学机制的理想生物 一体化;他们产生并依靠复杂的声带信号，并有悠久的使用历史 侵入性电生理研究。该提案的总体目标是调查分布式 神经元种群活动在闭环行为过程中综合了听觉和运动信息 - 特别是 鸟鸣。该提议的中心假设是听觉和运动人口活动是独特的 鸟唱歌时，与鸟儿听歌时相反。该假设将通过 以下特定目的：在AIM 1中，只需记录听觉和运动区域，而鸟儿唱歌和 听歌曲将使人们能够了解人口活动如何在整个地区进行协调。在AIM 2中， 在鸟儿唱歌和 听歌曲将使区域之间的因果互动描述。新颖的TDA将用于量化 神经活动跨区域和时间的协调，使机械洞察力了解如何 人口动态结构歌曲行为。在听觉和运动区域对比鲜明的人口活动 在唱歌和听力之间，可以识别感觉运动集成所特有的动力学。在 近期，该建议提供了对神经元种群如何协调的机械理解 在鸣禽系统中执行感觉运动集成。从长远来看，这种方法将使未来 研究大脑网络动态如何支持闭环行为，例如语音。最终，这个 提案将使培训和发展具有独特而协同的技能组合 提供对感觉运动整合的神经生物学机制的新颖洞察力的潜力。