Neural Encoding of Social Information

社会信息的神经编码

• 批准号: 10183334
• 负责人: Joshua P Neunuebel
• 金额: $ 61.81万
• 依托单位: UNIVERSITY OF DELAWARE
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-05 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10183334
• 关键词: Acoustics; Adult; Agonistic Behavior; Animal Disease Models; Animals; Auditory; Behavior; Behavioral; Biological Assay; Biological Models; Characteristics; Cognitive; Communication; Communication impairment; Complex; Coupling; Cues; Data; Disease; Electrophysiology (science); Future; Goals; Hippocampus (Brain); Human; Impairment; Individual; Knowledge; Lateral; Link; Location; Machine Learning; Medial; Methods; Mus; Nervous system structure; Neurobiology; Neurons; Neurophysiology - biologic function; Parkinson Disease; Pattern; Pheromone; Play; Research; Rodent; Role; Schizophrenia; Sensory; Shapes; Social Behavior; Social Interaction; Socialization; Stimulus; System; Techniques; Testing; Time; Touch sensation; Translational Research; Wireless Technology; affiliative behavior; autism spectrum disorder; behavioral phenotyping; deprivation; disability; entorhinal cortex; experience; experimental study; free behavior; in vivo; innovation; insight; mature animal; microphone; mouse model; nervous system disorder; neural circuit; neurobiological mechanism; neuromechanism; neurophysiology; nonhuman primate; novel; novel therapeutic intervention; optogenetics; relating to nervous system; response; skills; social; social communication; sound; source localization; therapeutic target; tool; vocalization

PROJECT SUMMARY/ABSTRACT Vocal communication plays a pivotal role in shaping the dynamics of social interactions and is impaired in a wide range of neurological disorders. Consequently, a major component of translational research focuses on identifying circuit-level neurobiological mechanisms underlying social communication deficits. Determining the neural mechanisms underlying social communication deficits requires both understanding the functions of neural circuits as well as the ability to link neural circuits to specific naturalistic behaviors. However, obtaining this information has been challenging because of the difficulties in interpreting complex behavioral interactions in freely socializing animals. The long-term goal of this research is to understand the neural circuitry controlling naturalistic social behaviors directly influenced by communication. This could ultimately allow communication disorders to be treated by therapeutically targeting atypically functioning neural circuitry. In pursuit of this goal, the overall objective in this proposal is to determine how social communication is encoded in the nervous system and the role it plays in shaping behavior. The proposal uses a novel microphone array system to track the vocal behavior of freely socializing, individual adult mice—a technique that has eluded the field for 50 years. Coupling this innovative method with in vivo wireless electrophysiology and machine-learning techniques used for robustly extracting meaningful social information will enable identification of the neural circuits that encode social communication and the role communication plays in directly shaping social behavior. Aim 1 will test the hypothesis that mice emit behavior-dependent vocalizations that directly alter the social dynamics between animals. Aim 2 will test the hypothesis that behaviorally-dependent vocalizations are encoded in the CA2 subregion of the hippocampus. Aim 3 will test the hypothesis that the lateral entorhinal cortex, one of the primary cortical inputs to CA2, encodes the locations of vocalizations in egocentric reference frames. The proposed research will have a broad impact as these studies will provide fundamental insight into the neurobiological basis of social communication. Moreover, these experiments will lay the groundwork for future studies examining the neural basis of social communication in mouse models of neurological disorders, such as schizophrenia, Parkinson’s disease, and autism spectrum disorders.

项目概要/摘要 声音交流在塑造社交互动的动态方面发挥着关键作用，但会受到损害 在广泛的神经系统疾病检查中，转化研究的一个主要组成部分是关注的重点。 识别社会沟通缺陷背后的回路级神经生物学机制。 社会沟通缺陷背后的神经机制需要了解 神经回路以及将神经回路与特定自然行为联系起来的能力。 由于解释复杂的行为交互存在困难，这些信息一直具有挑战性 这项研究的长期目标是了解控制动物的神经回路。 自然主义的社会行为直接受到沟通的影响，这最终可以实现沟通。 为了实现这一目标，通过针对功能异常的神经回路进行治疗来治疗疾病。 该提案的总体目标是确定社交沟通如何在神经中编码 该提案使用新颖的麦克风阵列系统来跟踪。 自由社交的成年小鼠个体的发声行为——这项技术在该领域已经存在了 50 年 将这种创新方法与体内无线电生理学和机器学习相结合。 用于稳健地提取有意义的社会信息的技术将能够识别神经网络 编码社会沟通的电路以及沟通在直接塑造社会中所扮演的角色 目标 1 将测试小鼠发出行为依赖性发声的假设，这些发声会直接改变行为。 目标 2 将检验行为依赖性发声的假设。 目标 3 将检验外侧内嗅的假设。 皮质是 CA2 的主要皮质输入之一，对自我中心参考中的发声位置进行编码 拟议的研究将产生广泛的影响，因为这些研究将提供基本的见解。 此外，这些实验将为社会沟通的神经生物学基础奠定基础。 未来的研究将检查神经系统疾病小鼠模型中社交沟通的神经基础， 例如精神分裂症、帕金森病和自闭症谱系障碍。