IMAGING

影像学

• 批准号: 7578736
• 负责人: Mark A. Mintun
• 金额: $ 21.67万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-05-15 至 2013-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7578736
• 关键词: Aging; Anatomy; Anterior; Archives; Atrophic; Attention; Biological Markers; Biometry; Biostatistics Core; Brain imaging; Clinical; Computer software; Data; Data Set; Diffusion Magnetic Resonance Imaging; Early Diagnosis; Functional Imaging; Future; Goals; Hippocampus (Brain); Image; Impaired cognition; Intracranial Hemorrhages; Investigation; Manuals; Measurement; Participant; Positron-Emission Tomography; Predisposition; Process; Research; Research Personnel; Research Project Grants; Rest; Scanning; Seeds; Senile Plaques; Senile dementia; Staging; Surrogate Markers; Weight; Work; cerebral atrophy; healthy aging; infrastructure development; programs; web based interface; white matter

Structural imaging provides a means to visualize change in anatomy associated with cognitive decline (e.g., Project 3 "Attention Profiles in Healthy Aging and Early Stage DAT") and also candidate surrogate markers for detection of early-stage DAT in combination with other biomarkers (e.g., Project 2 "Antecedent biomarkers of AD in CSF"). The goal of the Core E: Imaging is to collect, store, and disseminate imaging data for the use of the present program project investigations and also to facilitate the development of infrastructure to support future imaging projects. The following Specific Aims will be pursued: 1. Structural imaging data on demented and nondemented participants will be collected, in close coordination with Core B: Clinical, at two-year longitudinal intervals. The structural imaging battery will include (i) multiple acquisitions of high contrast MP-RAGE images, (ii)3D T2 images for assessment of white matter. These images will be used for measurement of cortical and subcortical atrophy and assessment of white matter integrity, (iii)diffusion tensor imaging to assess white matter microstructural integrity, and (iv)T2-SWI images. In addition, functional imaging data on demented and nondemented participants will be collected. The functional imaging data will be BOLD images during rest to assess functional connectivity. 2. Research neuroradiological assessment will be made by board-certified neuroradiologists on all structural image data sets. 3. Structural data sets will be archived in conjunction with Core C: Biostatistics and made available via a web-based interface to investigators to pursue research projects. 4. Quantitative structural assessment will be provided for correlating imaging data with project-specific data including (i) automated estimates of whole- brain atrophy, (ii) manual estimates of hippocampal, entorhinal, frontal, and other cortical volumes, (iii) automated estimates of cortical and subcortical volumes derived from Freesurfer software (Fischl et al., 2002; Fischl et al., 2004; Desikan et al., 2006), and (iv) automated assessment of white matter hyperintensities. Quantitative functional assessment will also be provided for correlating imaging data with project-specific data and will include estimates of the functional connectivity between seed regions such as the hippocampus and the precuneus. 5. Working closely with Core C: Biostatistics and Core A: Administration, data will be managed to integrate the Core's function with the scientific goals of the program project.

结构成像提供了一种可视化与认知能力下降相关的解剖学变化的方法（例如， 项目 3“健康老龄化和早期 DAT 的注意力概况”）以及候选替代标记 用于与其他生物标志物结合检测早期 DAT（例如，项目 2“Antecedent 脑脊液中 AD 的生物标志物”）。核心 E：成像的目标是收集、存储和传播成像 数据用于本计划项目调查并促进制定 支持未来成像项目的基础设施。将追求以下具体目标： 1. 结构 将与核心密切协调，收集痴呆症和非痴呆症参与者的成像数据 B：临床，纵向间隔为两年。结构成像电池将包括（i）多个 采集高对比度 MP-RAGE 图像，(ii) 用于评估白质的 3D T2 图像。这些 图像将用于测量皮质和皮质下萎缩以及评估白质 完整性，(iii) 弥散张量成像以评估白质微结构完整性，以及 (iv)T2-SWI 图像。此外，还将收集痴呆和非痴呆参与者的功能成像数据。 功能成像数据将是休息期间的粗体图像，以评估功能连接性。 2. 研究 神经放射学评估将由委员会认证的神经放射学家对所有结构图像数据进行 套。 3. 结构数据集将与核心 C：生物统计学一起存档，并通过以下方式提供： 供研究人员开展研究项目的基于网络的界面。 4. 定量结构评估将 提供将成像数据与项目特定数据相关联，包括（i）整体的自动估计 脑萎缩，(ii) 手动估计海马、内嗅、额叶和其他皮质体积，(iii) 来自 Freesurfer 软件的皮质和皮质下体积的自动估计（Fischl 等人， 2002年；菲什尔等人，2004； Desikan 等人，2006），以及 (iv) 白质的自动评估 高信号。还将提供定量功能评估，将成像数据与 项目特定数据，并将包括种子区域之间功能连接的估计，例如 海马体和楔前叶。 5. 与核心 C：生物统计学和核心 A 密切合作： 管理、数据将被管理以将核心的功能与计划的科学目标结合起来 项目。