NEUROIMAGING CORE

神经影像核心

• 批准号: 6917505
• 负责人: MONY J. de LEON
• 金额: $ 19.5万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-05-01 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6917505
• 关键词: Alzheimer' s disease; aging; animal data; bioimaging /biomedical imaging; biomarker; biomedical facility; brain disorder diagnosis; brain imaging /visualization /scanning; brain metabolism; diagnosis design /evaluation; glucose transport; human data; magnetic resonance imaging; neuroimaging; positron emission tomography

The Neuroimaging Core has experienced considerable productivity during the past cycle. This growth is in large measure attributable to the think tank atmosphere created by a dedicated multidisciplinary faculty. A growing arsenal of neuroimaging tools, specifically created for new ADCC projects, was developed and distributed in the MIDAS software package. The Core supports 27 funded projects and scientific collaborations, all the routine clinical and research ADCC neuroimaging examinations, and multi-institutional neuroimaging training. In the current cycle the Core has contributed to image acquisition, image registration, anatomical validation, and image analysis projects that demonstrated their value within and across modalities and are now extended to transgenic mouse imaging. This cycle has led to the first PET and MR imaging observations of medial temporal lobe brain changes in normal individuals that predict future MCI and AD. We developed a regional boundary shift algorithm that demonstrates increased rates of atrophy years prior to MCI. The first cross-modality (MR-PET) studies of the hippocampus were reported. Core resources were directly responsible for these accomplishments by developing image analysis software and making the applications user friendly. The Core has also conducted post mortem MR and histological anatomical studies to validate in vivo measurements of the hippocampus and entorhinal cortex. We propose 5 specific aims that include: hardware and software support for new and existing projects including multi-center human imaging collaborations and new investigators; new pathological validations for in vivo human amygdala and subiculum imaging; standardized longitudinal mouse imaging protocols with post mortem amyloid distribution validation; uniform acquisition and quality control for MR and PET imaging data; the development of new imaging and biomarker protocols to improve AD diagnostic specificity; and for testing hypotheses related to glucose transport and perfusion in normal aging and diabetes.

在过去的周期中，神经影像学核心具有相当大的生产率。这种增长在很大程度上归因于专门的多学科教师创造的智囊团气氛。在MIDAS软件包中开发和分发了不断增长的神经影像学工具，特别是为新的ADCC项目创建的。核心支持27个资助的项目和科学合作，所有常规的临床和研究ADCC神经影像学检查以及多机构的神经影像学培训。在当前循环中，核心为图像采集，图像注册，解剖验证和图像分析项目做出了贡献，这些项目证明了其在模态内和跨模态内的价值，现在已扩展到转基因鼠标成像。这个周期导致了预测未来MCI和AD的正常个体中内侧颞叶大脑变化的第一个PET和MR成像观察结果。我们开发了一种区域边界转移算法，该算法表明MCI前萎缩次数增加。据报道，海马的第一项跨模式（MR-PET）研究。通过开发图像分析软件并使应用程序用户友好，核心资源直接负责这些成就。核心还进行了验尸后MR和组织学解剖学研究，以验证海马和内嗅皮层的体内测量。我们提出了5个具体目标，其中包括：针对新项目和现有项目的硬件和软件支持，包括多中心的人类成像合作和新研究人员；体内人类杏仁核和亚致成像的新病理验证；具有验尸后淀粉样蛋白分布验证的标准化纵向小鼠成像方案； MR和PET成像的均匀获取和质量控制 数据;开发新成像和生物标志物方案以提高AD诊断特异性；并用于测试与正常衰老和糖尿病中葡萄糖转运和灌注有关的假设。