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.

项目概要 言语是一种闭环行为，需要大脑不断感知并产生声音信号 当前的语音神经生物学理论认为，神经群体活动跨越听觉和听觉。 运动区域在言语产生过程中动态耦合，但言语感知依赖于听觉 这种感觉运动整合假说将允许大脑利用即时听觉。 反馈以微调引发言语的运动动作。对感觉运动进行严格的神经生物学测试。 集成需要（1）一个能够控制和测量感觉运动行为的模型系统，（2） 同时进行大规模感觉和运动神经记录的实验专业知识 区域，以及（3）开发人口规模分析以评估协调的计算能力 该提案提出了实验和分布式动力学的协同组合。 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颖的拓扑相结合 数据分析（TDA）揭示了欧洲感觉运动整合的群体机制。 八哥是理解支持感觉运动的神经生物学机制的理想生物体 集成；它们产生并依赖复杂的声音通信信号，并且在以下领域有着悠久的使用历史： 该提案的首要目标是研究侵入性电生理学研究的分布情况。 神经群体活动在闭环行为期间整合听觉和运动信息——特别是 该提案的中心假设是听觉和运动群体活动是独特的。 当鸟儿唱歌时，与鸟儿听歌时相比，这个假设将通过以下方式得到检验。 遵循特定目标：在目标 1 中，在鸟类歌唱和鸣叫时同时记录听觉和运动区域 听歌曲可以了解协调区域内的人口活动情况。在目标 2 中， 当鸟类歌唱时，来自听觉区域的记录与运动区域的同步光遗传学抑制 听歌曲将能够描绘区域之间的因果相互作用，新颖的 TDA 将用于量化。 跨区域和跨时间的神经活动的协调，从而能够机械地洞察如何 群体动态结构了听觉和运动区域的群体活动。 歌唱和聆听之间的联系将允许识别感觉运动整合所特有的动态。 从短期来看，该提案提供了对神经群体如何协调的机械理解 从长远来看，这种方法将使未来成为可能。 研究大脑网络动力学如何支持闭环行为，例如语音。 提案将能够培训和发展独特且协同的技能组合，这些技能具有 有望为感觉运动整合的神经生物学机制提供新的见解。