Addiction Connectome Core

项目概要：成瘾连接组核心 大脑区域之间的连接模式（大脑的接线图）决定了它们如何交流 以及最终它们如何影响行为。了解连接如何随着药物而变化至关重要 来确定成瘾的机制。最近神经成像技术的创新使科学家们能够 研究整个大脑的神经连接。这项工作主要发生在人类身上。与此同时， 动物模型中的侵入性方法已经导致了关于细胞变化的丰富信息。但这两 各种方法在很大程度上仍然互不相关。成瘾连接组核心（ACC）将连接这一翻译 通过支持小鼠和猴子的全脑多模式连接体的发展，的 连接体将揭示成瘾的预测因素和后果。除了发展 基础设施和收集连接体的核心数据，我们将开发一个基于网络的可搜索数据库 这也有助于整合来自多种方法来源的小鼠和猴子的数据， 在接触两种药物后。ACC将整合并公开提供与其 使命数据来自三个来源：（1）专门为核心收集的数据，（2）其他核心收集的数据 （结构回路核心和行为核心期间的成像细胞），以及（3）由校外收集的数据 科学家因此，核心将导致生成和管理一个可搜索的，可扩展的，有组织的 大脑解剖学的综合数据库，因为它与成瘾有关。

PROJECT SUMMARY: Addiction Connectome Core The pattern of connections between brain regions (the brain’s wiring diagram) determines how they communicate and ultimately, how they contribute to behavior. Understanding how connectivity changes with drugs is essential for determining the mechanisms of addiction. Recent innovations in neuroimaging have allowed scientists to study neural connectivity across the whole brain. This work has taken place mostly in humans. At the same time, invasive methods in animal models have led to a wealth of information on cellular changes. However, these two approaches remain largely disconnected. The Addiction Connectome Core (ACC) will bridge this translational gap by supporting the development of a whole-brain, multimodal connectome in mice and monkeys. The connectome will shed light of the predictors and consequences of addiction. In addition to developing the infrastructure and collecting core data for the connectome, we will develop a web-based searchable database that also facilitates integration of data in mice and monkeys from multiple methodological sources before and after exposure to two types of drugs. The ACC will integrate and make publicly available data bearing on its mission from three sources: (1) data specifically collected for the Core, (2) data collected by the other Cores (Structural Circuits Core and Imaging Cells during Behavior Core), and (3) data collected by extramural scientists. As such, the core will lead to the generation and curation of a searchable, discoverable, and organized integrated database of brain anatomy as it relates to addiction.