Neural Encoding of Social Information

项目总结/摘要 声音交流在塑造社会互动的动态方面起着关键作用， 在很多神经系统疾病中。因此，翻译研究的一个主要组成部分是关注 关于识别社会沟通缺陷背后的回路水平神经生物学机制。确定 社会沟通缺陷背后的神经机制需要理解 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。然而，获得 由于解释复杂的行为相互作用的困难，这些信息一直是具有挑战性的 在自由社会化的动物。这项研究的长期目标是了解神经回路控制 自然主义的社会行为直接受交流的影响。这最终可以让通信 通过治疗性靶向功能性神经回路来治疗的疾病。为了实现这一目标， 这项计划的总体目标是确定社会交流是如何在神经系统中编码的。 系统及其在塑造行为中的作用。该提案使用一种新颖的麦克风阵列系统来跟踪 自由社会化的个体成年老鼠的发声行为--一种已经回避了50年的技术 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 用于鲁棒地提取有意义的社会信息的技术将使得能够识别神经网络。 编码社会沟通的电路以及沟通在直接塑造社会 行为目标1将测试小鼠发出行为依赖性发声的假设， 动物之间的社会动态目标2将检验行为依赖性发声是 在海马体的CA 2亚区编码。目的3将检验外侧内嗅 皮层是CA 2的主要皮层输入之一，编码自我中心参考中的发声位置 跳转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， 社会交流的神经生物学基础此外，这些实验将奠定基础， 未来的研究将在神经系统疾病的小鼠模型中检查社会交流的神经基础， 例如精神分裂症、帕金森氏症和自闭症谱系障碍。

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.