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，需要大脑不断感知并产生声音信号 在真实的时间里。目前的言语神经生物学理论认为，听觉和听觉上的神经群体活动， 运动区在言语产生过程中是动态耦合的，但言语感知依赖于听觉。 独自处理。这种感觉运动整合假说将允许大脑利用即时的听觉信息 反馈来微调引发言语的运动动作。严格的感觉运动神经生物学测试 集成需要（1）能够控制和测量感觉运动行为的模型系统，（2） 同时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，以评估协调， 单个神经元的分布式动力学。该提案提出了一种实验的协同组合， 满足这些要求的分析：听觉和运动的同时记录和扰动 欧洲椋鸟在鸟鸣产生和感知过程中的区域与新的拓扑结构相结合， 数据分析（TDA），以揭示人口机制，实例化感觉运动整合。欧洲 椋鸟是理解支持感觉运动的神经生物学机制的理想生物。 它们产生并依赖于复杂的语音通信信号，并且在以下方面有着悠久的使用历史： 侵入性电生理学研究。本提案的首要目标是研究如何分布 神经元群体活动在闭环行为过程中整合听觉和运动信息， 鸟鸣这个建议的中心假设是，听觉和运动的人口活动是独特的 当鸟儿唱歌时，与鸟儿听歌时形成对比。这一假设将通过 以下具体目标：在目标1中，在鸟类唱歌时同时记录听觉和运动区域， 听一首歌将有助于了解各区域的人口活动是如何协调的。在目标2中， 鸟类歌唱时听觉区的记录与运动区的光遗传学抑制， 听一首歌将能够描绘区域之间的因果相互作用。新型TDA将用于定量 跨区域和跨时间的神经活动的协调，使机械洞察如何 种群动态结构的歌曲行为。对比听觉和运动区域的人群活动 将允许识别感觉运动整合所特有的动力学。在 在短期内，这一提议提供了一个神经元群体如何协调的机械理解， 在鸣禽系统中执行感觉运动整合。从长远来看，这种方法将使未来 研究大脑网络动力学如何支持闭环行为，如语音。最终这 该提案将使培训和发展一个独特的和协同的技能组合，具有 有可能为感觉运动整合的神经生物学机制提供新的见解。