High Resolution, Comprehensive Atlases of the Human Brain Morphology

高分辨率、全面的人脑形态图谱

• 批准号: 10318144
• 负责人: Sylvain Bouix
• 金额: $ 75.55万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-12-01 至 2023-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10318144
• 关键词: 3-Dimensional; Anatomy; Atlases; BRAIN initiative; Brain; Brain Stem; Brain imaging; Brain region; Brain scan; Cerebellum; Cerebrum; Clinical; Communities; Computer software; Congresses; Custom; Data; Data Set; Descriptor; Development; Diffusion; Diffusion Magnetic Resonance Imaging; Digital Imaging and Communications in Medicine; Explosion; Fascicle; Female; Funding; Gender; General Hospitals; Generations; Gold; Human; Image; Image Analysis; Infrastructure; Knowledge; Label; Letters; Libraries; Lobe; Lobule; Magnetic Resonance Imaging; Manuals; Massachusetts; Mathematics; Measures; Metadata; Modification; Network-based; Neuroanatomy; Neurosciences; Nomenclature; Ontology; Publications; Research; Research Personnel; Resolution; Scanning; Structure; System; Taxonomy; Time; Work; analytical tool; base; brain morphology; clinically relevant; connectome; flexibility; gray matter; human subject; in vivo; male; morphometry; neuroimaging; nonhuman primate; open source; portability; tool; white matter

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.

项目概要 过去十年带来了精确采集和分析工具（两者都 数学和统计），允许在以下背景下研究体内脑成像数据 互连网络或连接组。在国会额外资金的推动下，这一快速进步 然而，（BRAIN 倡议）并没有反映在神经解剖学图谱和本体工具的开发中 这将使体内连接分析更加准确。其一，人类连接组的出现 生成大型高分辨率数据集的项目正在创造开发相应的高分辨率数据集的需求 定义图册。然而，这需要时间和跨学科的解剖知识。此外， 现有的地图集很少是可移植的、灵活的或易于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并传播最先进的高分辨率全脑 MR 地图集，作为先前版本的哈佛-牛津地图集 (HOA) 的扩展，是一种流行且广泛使用的地图集 通过 FMRIB 软件库 (FSL) 图集可获取图集，该图集是我们实验室十多年前开发的。作为一部分 在这个项目中，我们将： 1. 将专家神经解剖学知识整合到一个本体中。这将 包括开发区域结构关系的图形表示，包括层次结构 （脑叶、小叶、脑回和皮质下结构）和基于网络的； 2. 手动分割（使用开发的 本体）作为公开的人类连接组项目数据集的一部分提供的 200 个 MR 数据集； 3、完善图册存储、编辑、发布软件平台，包括版本 神经解剖学界的控制和能力为第二个贡献新的图集或修改 一代 HOA 图集。 该项目成功完成后，我们将为神经科学界提供一个 前所未有的数据集，其中包含 200 个高清 MR 数据，使用该数据将其分割成 392 个灰质和白质 PU 使用扩散 MRI 进行结构 MRI 和 189 个白质束。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，数据集将是 免费提供给社区，并在 atlas 定制的修订控制系统中分发，该系统将跟踪 Atlas 图像数据和元数据的变化，并将与 Atlas 发布和分发工具集成。

项目成果

Superficial white matter microstructure affects processing speed in cerebral small vessel disease.

浅层白质微结构影响脑小血管疾病的处理速度

• DOI: 10.1002/hbm.26004
• 发表时间: 2022-12-01
• 期刊: Human brain mapping
• 影响因子: 4.8

White Matter Correlates of Mild Traumatic Brain Injuries in Women Subjected to Intimate-Partner Violence: A Preliminary Study.

白质与遭受亲密伴侣暴力的女性轻度创伤性脑损伤的相关性：一项初步研究。

• DOI: 10.1089/neu.2018.5734
• 发表时间: 2019
• 期刊: Journal of neurotrauma
• 影响因子: 4.2
• 作者: Valera,EveM;Cao,Aihua;Pasternak,Ofer;Shenton,MarthaE;Kubicki,Marek;Makris,Nikos;Adra,Noor
• 通讯作者: Adra,Noor

How Human Is Human Connectional Neuroanatomy?

• DOI: 10.3389/fnana.2020.00018
• 发表时间: 2020-04
• 期刊: Frontiers in Neuroanatomy
• 影响因子: 2.9
• 作者: R. Rushmore;S. Bouix;M. Kubicki;Y. Rathi;E. Yeterian;N. Makris

Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods.

• DOI: 10.1002/hbm.26497
• 发表时间: 2023-12-01
• 期刊: Human brain mapping
• 影响因子: 4.8
• 作者: He J;Zhang F;Pan Y;Feng Y;Rushmore J;Torio E;Rathi Y;Makris N;Kikinis R;Golby AJ;O'Donnell LJ
• 通讯作者: O'Donnell LJ

Structural connectivity of cytoarchitectonically distinct human left temporal pole subregions: a diffusion MRI tractography study.

• DOI: 10.3389/fnana.2023.1240545
• 发表时间: 2023
• 期刊: Frontiers in neuroanatomy
• 影响因子: 2.9