Neuroimaging Core

神经影像核心

• 批准号: 10689336
• 负责人: SUSAN Y BOOKHEIMER
• 金额: $ 126.83万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10689336
• 关键词: Aging; Alzheimer' s Disease; Area; Attenuated; Boston; Brain; Centenarian; Characteristics; Cognition; Cognitive; Data; Data Analyses; Dementia; Functional Magnetic Resonance Imaging; Goals; Image; Image Analysis; Liquid substance; Los Angeles; Magnetic Resonance Imaging; Magnetism; Maps; Measures; Memory; Methods; Modality; Noise; Output; Parents; Persons; Phenotype; Physiologic pulse; Population; Predisposition; Records; Recovery; Research Personnel; Resistance; Resolution; Rest; Sampling; Site; Spouses; Standardization; Structure; Techniques; Testing; Travel; Universities; Utah; aged; arterial spin labeling; cognitive ability; cognitive function; data acquisition; data integration; data repository; design; ethnic diversity; experience; image processing; imaging facilities; metropolitan; neuroimaging; normal aging; offspring; preservation; prisma; quality assurance; racial diversity; resilience; resilience factor; statistics; time interval; tool

NEUROIMAGING CORE SUMMARY Much has yet to be understood about the brains of "superagers" and what and how resilience factors impact the typical brain-aging trajectory, and identify which aspects of brain reserve are most associated with preserved cognition functioning in centenarian cognitive superagers. The Neuroimaging Core oversees the acquisition, storage, and analysis of imaging data at three participating imaging centers: MGH (Boston), Columbia University (NYC), and UCLA (Los Angeles). These sites have identical scanners, the Siemens Prisma 3T MRI, that are also the most advanced pulse sequencers available. The Core will optimize acquisition and analysis approaches to ensure that the data across centers are highly standardized and achieve equivalent contrast to noise ratios (CNRs) to ensure that data integration is successful. The Core's broad goal is to answer specific questions about resilience by identifying a set of high-resolution pulse sequences that examine brain structure and function, in a time interval tolerable for centenarians, using state of the art data analysis techniques. The NIC's general hypothesis is that preserved structural and functional connectivity are essential to long-term preserved cognition. This hypothesis will be tested by generating optimal MRI data combined with analysis tools designed to examine network dynamics and longitudinal trajectories, focusing on brain networks and regions most critical to cognition and memory. The three specific aims are: Aim 1:Test and employ across three sites, state of the art pulse sequences on the Prisma platform that are essential for understanding the resilient brain structure including Multi-echo/Multiband, navigator high-resolution T1/T2, resting-state functional connectivity MR, Diffuser Tensor Imaging, Pseudo-Continuous Arterial Spin Labeling, and Quantitative Susceptibility Mapping. Aim 2:Perform ongoing with-and between-site QA, pre-processing for image standardization and bias corrections, and centralize data across sites into an imaging data repository. Aim 3: Conduct image analysis that combines data across sites/within modality; create output metrics for each data-type, and in conjunction with the projects, assist in integrating imaging measures into project hypotheses. The imaging centers are joined and further integrated by a state-of-the-art data analysis center at the University of Utah. Experts in imaging statistics interface with the other RADCO cores and projects to integrate data types for hypothesis testing.

神经影像核心摘要 关于“超级魔法”的大脑以及什么以及如何弹性，许多人尚未理解很多 因素会影响典型的大脑老师轨迹，并确定大脑储备的哪些方面 在百年认知超级名单中保留的认知功能最多。这 神经成像核心监督三个以三个成像数据的获取，存储和分析 参与成像中心：MGH（波士顿），哥伦比亚大学（NYC）和加州大学洛杉矶分校（Los） 安吉利斯）。这些站点具有相同的扫描仪，西门子Prisma 3T MRI，也是 最先进的脉冲序列器可用。核心将优化获取和分析 方法以确保跨中心的数据高度标准化并实现同等 与噪声比（CNR）形成对比，以确保数据集成成功。核心的广泛 目标是通过识别一组高分辨率来回答有关弹性的特定问题 脉冲序列可以在时间间隔内容忍大脑结构和功能 百年纪念主义者，使用最先进的数据分析技术。 NIC的总体假设 是否保留的结构和功能连接对于长期保留至关重要 认识。该假设将通过生成最佳MRI数据与分析结合来检验 旨在检查网络动态和纵向轨迹的工具，专注于大脑 网络和区域对认知和记忆最重要。三个特定目标是：目标 1：在三个地点进行测试和使用 对于理解弹性大脑结构至关重要 导航器高分辨率T1/T2，静止状态功能连接MR，扩散器张量 成像，伪连续的动脉自旋标记和定量敏感性映射。 AIM 2：与现场QA进行持续进行，对图像标准化进行预处理 和偏差校正，并将跨站点的数据集中到成像数据存储库中。目标3： 进行图像分析，将跨站点/模式内的数据结合在一起；创建输出指标 对于每个数据类型，并与项目结合在一起，协助整合成像 衡量项目假设。成像中心加入并通过 犹他大学的最先进数据分析中心。成像统计专家 与其他RADCO内核和项目的接口，以整合数据类型以进行假设检验。