High Resolution, Comprehensive Atlases of the Human Brain Morphology

项目摘要 在过去的十年中，精确采集和分析工具(两者)的发展呈现爆炸式增长 数学和统计学)，允许在以下情况下研究活体脑成像数据 互连的网络，或连接。在国会额外拨款的推动下，这一快速进步 然而，神经解剖图谱和本体论工具的发展并没有反映(大脑的主动性) 这将使体内连接性分析更加准确。首先，人类连接体的出现 生成大型高分辨率数据集的项目，正在产生相应的、高分辨率的开发需求 定义图集。然而，这需要时间和跨学科的解剖学知识。此外， 现有的地图集很少是便携的、灵活的，或者很容易在图像分析工具之间传输，并且不 遵循神经解剖学的共同标准。 这个项目的总体目标是生成和传播最先进的、高分辨率的全脑磁共振 地图集作为哈佛-牛津地图集(HOA)的前一个版本的延伸，是一种流行和广泛的 可通过我们实验室十多年前开发的FMRIB软件库(FSL)地图集获得地图集。作为一部分 在本项目中，我们将：1.将神经解剖学专家知识整合到一个本体中。这将是 包括开发区域结构关系的图形表示，这两种关系都是分层的 (小叶、小叶、脑回和皮质下结构)和基于网络的；2.手动分割(使用已开发的 本体)200个MR数据集，作为可公开获得的人类连接组项目数据集的一部分提供； 3.完善存储、编辑和传播包括版本的地图集的软件平台 控制和神经解剖学社区为第二次会议贡献新的图谱或修改的能力 《HOA世代地图集》。 在这个项目成功完成后，我们将为神经科学界提供一个 史无前例的200个高清晰度磁共振数据的数据集，这些数据被分割成392个灰质和白质脓液 结构磁共振成像和189个脑白质束弥散成像。所有结构都将在 基于数十年的神经解剖学专业知识的全面分类学。重要的是，数据集将是 免费向社区提供，并在地图集定制的修订控制系统中分发，该系统将跟踪 在图集图像数据和元数据方面的变化，并将与图集发布和分发的工具相结合。

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.