High Resolution, Comprehensive Atlases of the Human Brain Morphology

项目摘要 在过去的十年里，精确采集和分析工具的发展出现了爆炸式增长（两者都是 数学和统计学），其允许在以下背景下研究体内脑成像数据： 互联网络或连接体。在国会额外资金的推动下， 然而，神经解剖学地图集和本体论工具的发展并没有反映出（BRAIN倡议） 这将使体内连通性分析更准确。首先，人类连接体的出现 项目，生成大型高分辨率数据集，正在创造一个需要开发相应的，高分辨率的 定义地图集然而，这需要时间和跨学科的解剖学知识。此外该 现有的地图集很少是可移植的、灵活的或容易在图像分析工具之间转移的，并且不 遵循神经解剖学的共同标准。 该项目的总体目标是生成和传播最先进的高分辨率全脑MR 地图集，作为哈佛-牛津地图集（HOA）的前一个版本的扩展，一个流行和广泛的 FMRIB软件库（FSL）地图集是十多年前在我们的实验室开发的。一部分 在这个项目中，我们将：1。将专业神经解剖学知识整合到单个本体中。这将 包括制定区域结构关系的图示， （叶，小叶，脑回和皮质下结构）和网络为基础的; 2.手动包裹（使用开发的 本体）200个MR数据集，作为公开可用的人类连接组项目数据集的一部分提供; 和3.完善一个软件平台，用于存储、编辑和传播地图集， 控制和能力的神经解剖社区贡献新的地图集或修改这第二次 生成HOA图谱。 在这个项目成功完成后，我们将为神经科学界提供一个 前所未有的200个高清晰度MR数据的数据集，被分成392个灰色和白色物质PU， 结构MRI和189个白色束的扩散MRI。所有结构将在 基于数十年神经解剖学专业知识的综合分类法。重要的是，数据集将 社区可以免费获得，并在atlas定制的版本控制系统中分发，该系统将跟踪 地图集图像数据和元数据的变化，并将与地图集发布和分发工具相结合。

Project Summary The past decade has brought an explosion in the development of precise acquisition and analytic tools (both mathematical and statistical) that allow for investigating in-vivo brain imaging data in the context of interconnected networks, or connectomes. This rapid advancement, fueled by additional funds from Congress (BRAIN initiative), however, is not mirrored by the development of neuroanatomy atlases and ontology tools that would make in-vivo connectivity analysis more accurate. For one, the advent of the Human Connectome Project, generating large high-resolution datasets, is creating a need for development of corresponding, high definition atlases. This, however, requires time, and interdisciplinary anatomical knowledge. In addition, the atlases that exist are rarely portable, flexible, or easily transferable between image analysis tools, and do not follow a common standard of neuroanatomy. The overall aim of this project is to generate and disseminate state-of-the-art, high-resolution full brain MR atlases, as the extension of the previous version of the Harvard-Oxford Atlas (HOA), a popular and widely available atlas through FMRIB Software Library (FSL) atlas, developed in our labs over a decade ago. As part of this project, we will: 1. Consolidate expert neuroanatomical knowledge into a single ontology. This will include the development of a graphical representation of regions' structural relationships, both hierarchical (lobes, lobules, gyri and subcortical structures) and network-based; 2. Manually parcellate (using developed ontologies) 200 MR datasets provided as part of the publicly available Human Connectome Project dataset; and 3. Refine a software platform for storing, editing and disseminating the atlases that will include version control and the ability for the neuroanatomical community to contribute new atlases or modifications to this 2nd Generation HOA atlas. Upon the successful completion of this project, we will have provided the neuroscientific community with an unprecedented data set of 200 high definition MR data parcellated into 392 gray and white matter PUs using structural MRI and 189 white matter fascicles using diffusion MRI. All structures will be described in a comprehensive taxonomy based on decades of neuroanatomical expertise. Importantly, the data set will be freely available to the community and distributed in an atlas-tailored revision control system, that will track changes in atlas image data and metadata and will integrate with tools for atlas release and distribution.