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HARDI Mapping of Disease Effects on the Brain

HARDI Mapping of Disease Effects on the Brain
哈滴绘制疾病对大脑影响的图谱
批准号:
7935409
负责人:
PAUL M THOMPSON
金额:
$66.69万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-30 至 2013-08-31

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中文摘要
翻译
描述(由申请人提供):该项目推进了高角分辨率扩散成像(HARDI)的最先进技术,这是一种强大的新成像方法,可以以惊人的精度解析大脑中的纤维路径。结合美国国立卫生研究院资助的国家神经成像资源(加州大学洛杉矶分校)、明尼苏达大学磁共振研究中心和西门子企业研究中心的专业知识,我们旨在证明Hardi在评估艾滋病毒/艾滋病和阿尔茨海默病(AD)临床上重要的脑变性方面提供了新的重要信息,扩展了我们揭示这些疾病如何在活的大脑中动态传播的初步发现。哈迪将磁场梯度应用于大脑,在多达256个不同的方向上,以精确地详细说明大脑中纤维的方向、路径和完整性。如果没有新的数学将这些信号视为位于黎曼流形中,哈迪数据集还无法在不同的对象之间进行比较。这个项目提供了这些工具。我们的研究将(1)推动数学-部分基于几何、统计学和黎曼流形-从Hardi中提取信息,以及(2)量化Hardi可以在多大程度上提高我们对大脑退化的理解,以及哪些因素影响它。利用Hardi图像中的额外细节,我们将开发一种方法,通过流畅地跨主题对齐3D图像(目标1;多主题对齐),实现对Hardi图像的大规模多主题比较。这是迈向疾病群体研究的第一步,例如,比较患者群体中的纤维完整性以检查基因或治疗效果,或将患者与标准数据库进行比较。对幻影和合成数据的验证是所有AIMS的关键部分。在目标2(分割和连接映射)中,我们将开发算法来绘制白质连接,并基于Hardi的完整角度信息识别大脑中临床上重要的纤维路径。在AIM 3(Hardi Statistics)中,优化的基于体素的统计数据将逐点跨种群比较Hardi数据,以识别系统性纤维缺陷,并将纤维完整性和连接性与正常参考种群进行比较。在AIM 4(大脑退化的哈迪地图)中,我们将评估Hardi揭示AD和HIV相关大脑退化的新描述符:这两种疾病我们已经发表了大量文章,但白质退化的测量方法严重缺乏。阿尔茨海默病和艾滋病毒的社会负担正在增加;艾滋病毒影响着全球4000万人,仅在美国就有450万人受到阿尔茨海默病的影响;每个人都处于危险之中。我们强大的脑白质变性标记物将帮助我们确定Hardi增加的分辨率提供了多少好处。这种新的分析方法将极大地提高我们理解病理性脑退行性变的能力,为追踪它提供灵敏的新手段。这对药物试验和患者监测具有直接价值。一如既往,我们将与50多个合作实验室共享所有算法、协议和图像。与公共健康相关:该项目开发的工具可以充分释放HARDI(高角分辨率扩散成像)的力量,以推进大脑的临床研究。Hardi在多达256个不同的方向上对大脑应用磁场梯度,以精确地详细说明纤维及其连接的方向、路径和完整性。我们将评估Hardi对阿尔茨海默氏症和艾滋病毒相关脑白质变性的理解和揭示的新描述符--对影响全球4000万人的艾滋病毒和仅在美国就影响450万人的AD的药物试验和患者监测具有直接价值。
英文摘要
DESCRIPTION (provided by applicant): This project advances the state-of-the-art in High-Angular Resolution Diffusion Imaging (HARDI), a powerful new imaging approach that can resolve fiber pathways in the brain with spectacular precision. Uniting expertise at an NIH-funded National Neuroimaging Resource (at UCLA), the University of Minnesota Center for Magnetic Resonance Research, and Siemens Corporate Research, we aim to demonstrate that HARDI provides new and vital information in assessing clinically important brain degeneration in HIV/AIDS and Alzheimer's Disease (AD), extending our initial findings that revealed how these diseases spread dynamically in the living brain. HARDI applies magnetic field gradients to the brain, in up to 256 different directions, to precisely detail the directions, pathways, and integrity of fibers in the brain. HARDI datasets cannot yet be compared across subjects without new mathematics that treats these signals as lying in Riemannian manifolds. This project provides those tools. Our research will (1) advance the mathematics - based in part on geometry, statistics, and Riemannian manifolds - to extract information from HARDI, and (2) quantify how much HARDI can improve our understanding of brain degeneration, and what factors affect it. Using the extra detail in HARDI images, we will develop a method to enable large-scale multi-subject comparison of HARDI images, by fluidly aligning 3D images across subjects (Aim 1; Multi-subject Alignment). This is the first step towards population studies of disease, e.g., comparing fiber integrity across patient populations to examine gene or treatment effects, or comparing a patient with a normative database. Validation on phantoms and synthetic data is a key part of all Aims. In Aim 2 (Segmentation and Connectivity Mapping), we will develop algorithms to map white matter connectivity, and identify clinically important fiber pathways in the brain, based on the full angular information of HARDI. In Aim 3 (HARDI Statistics), optimized voxel-based statistics will compare HARDI data, point-by-point, across populations, to identify systematic fiber deficits, comparing fiber integrity and connectivity with a normal reference population. In Aim 4 (HARDI Maps of Brain Degeneration), we will evaluate HARDI for revealing new descriptors of AD and HIV-related brain degeneration: two illnesses on which we have published prolifically, where measures of white matter degeneration are sorely lacking. The societal burden of AD and HIV is growing; HIV affects 40 million people worldwide, and AD affects 4.5 million individuals in the U.S. alone; everyone is at risk. Our powerful markers of brain white matter degeneration will help us determine how much benefit HARDI's added resolution provides. This new analytic approach will greatly advance our ability to understand pathological brain degeneration, providing sensitive new measures to track it. This has immediate value for drug trials and patient monitoring. As always, we will share all algorithms, protocols, and images, with 50+ collaborating laboratories. PUBLIC HEALTH RELEVANCE: This project develops tools that unleash the full power of HARDI (high-angular resolution diffusion imaging) to advance clinical studies of the brain. HARDI applies magnetic field gradients to the brain in up to 256 different directions to precisely detail the directions, pathways, and integrity of fibers and their connections. We will evaluate HARDI for understanding and revealing new descriptors of Alzheimer's Disease and HIV-related brain white matter degeneration - with immediate value for drug trials and patient monitoring in HIV, which affects 40 million people worldwide, and in AD, which affects 4.5 million individuals in the U.S. alone.
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CARE4Kids: Imaging Biomarker Core
ENIGMA World Aging Center
  • 批准号:
    10576402
  • 项目类别:
  • 资助金额:
    $64.94万
  • 财政年份:
    2021
  • 负责人:
    PAUL M THOMPSON
  • 依托单位:
ENIGMA World Aging Center
  • 批准号:
    10328963
  • 项目类别:
  • 资助金额:
    $64.96万
  • 财政年份:
    2021
  • 负责人:
    PAUL M THOMPSON
  • 依托单位:
FiberNET: Deep learning to evaluate brain tract integrity worldwide and in AD
海外基金