Neuroimaging Core

神经影像核心

• 批准号: 10713949
• 负责人: SUSAN Y BOOKHEIMER
• 金额: $ 36.41万
• 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/10713949
• 关键词: 3-Dimensional; Aging; Alzheimer' s Disease; Area; Attenuated; Blood - brain barrier anatomy; Boston; Brain; Centenarian; Characteristics; Cognition; Cognitive; Contrast Media; Data; Data Analyses; Dementia; Diffusion; Functional Magnetic Resonance Imaging; Geographic Locations; Goals; Image; Image Analysis; Individual; Liquid substance; Los Angeles; Magnetic Resonance Imaging; Magnetism; Maps; Measures; Memory; Methods; Modality; Noise; Output; Parents; Participant; Persons; Phenotype; Physiologic pulse; Population; Predisposition; Records; Recovery; Research Personnel; Resistance; Resolution; Rest; Sampling; Site; Spouses; Standardization; Structure; Techniques; Testing; Travel; Universities; Utah; Water; aged; arterial spin labeling; cognitive ability; cognitive function; data acquisition; data integration; data repository; design; ethnic diversity; experience; image processing; imaging facilities; metropolitan; neuroimaging; neuropathology; 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 four participating imaging centers: MGH (Boston), Columbia University (NYC), UCLA (Los Angeles) and Georgia State University (Atlanta). 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 deploy across four sites, state-of-the -art pulse sequences on the Siemens 3T Prisma platform that are essential for understanding the resilient brain structure including the methods:, navigator-enabled high-resolution T1 (multi- echo) and fluid-attenuated inversion recovery (FLAIR) imaging, multi-band resting-state functional magnetic resonance imaging, inhomogeneous magnetic transfer imaging (ihMT), pseudo-continuous arterial spin labeling (pCASL), and quantitative susceptibility mapping (QSM). Aim 2: Add a 10-minute diffusion prepared (DP) 3D gradient and spin-echo (GRASE) pseudo-continuous ASL (pCASL) sequence to assess BBB function by quantifying BBB water exchange rate (kw) without contrast agents. To assess the reliability of this measure in extremely old individuals, to compare their MRI BBB results with neuropathological assessment of the BBB (the neuropathology portion of the Phenotyping & Biosample Core). Aim 3: Perform ongoing with- and between-site quality assurance, pre-processing for image standardization and bias corrections, and centralize data across sites into an imaging data repository. Aim 4: 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 UCLA. 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“超级阿格纳”的大脑以及弹性因素的影响以及如何影响，尚未了解很多 典型的大脑老化轨迹，并确定脑部储备的哪些方面与保存的最相关 一百年代认知超级词的认知功能。神经影像核心监督收购， 在四个参与成像中心的储存和分析数据：MGH（波士顿），哥伦比亚大学 （纽约），加州大学洛杉矶分校（洛杉矶）和佐治亚州立大学（亚特兰大）。这些站点具有相同的扫描仪 西门子Prisma 3T MRI，也是最先进的脉搏序列。核心将优化 采集和分析方法，以确保跨中心的数据高度标准化和实现 与噪声比（CNR）的对比，以确保数据积分成功。核心的广泛目标是 通过识别一组检查的高分辨率脉冲序列来回答有关弹性的特定问题 大脑结构和功能，在百岁老人的时间间隔内，使用最先进的数据分析 技术。 NIC的总体假设是保留的结构和功能连接至关重要 长期保存认知。该假设将通过生成最佳MRI数据与 旨在检查网络动态和纵向轨迹的分析工具，专注于大脑网络 以及最重要的认知和记忆区域。三个具体目的是：目标1：测试和部署 四个站点，西门子3T Prisma平台上的最新脉冲序列，对于 了解包括方法：启用导航器的高分辨率T1的弹性大脑结构 ECHO）和流体侵入的反转恢复（FLAIR）成像，多波段静止状态功能磁 共振成像，不均匀的磁转移成像（IHMT），伪连续动脉自旋标记 （PCASL）和定量敏感性映射（QSM）。 AIM 2：添加准备的10分钟扩散（DP）3D 梯度和自旋回波（GRASE）伪连续ASL（PCASL）序列，以评估BBB功能 量化BBB水汇率（KW），而没有对比剂。评估此措施的可靠性 非常老的人，将其MRI BBB结果与BBB的神经病理学评估进行比较（ 表型和生物样品核心的神经病理学部分）。 AIM 3：与现场之间进行持续进行 质量保证，图像标准化和偏差校正的预处理，并集中数据 站点成像数据存储库。 AIM 4：进行图像分析，该图像分析结合了跨站点/内部的数据 方式；为每种数据类型创建输出指标，并与项目结合使用，协助集成 成像衡量项目假设。成像中心加入并通过最先进的 UCLA的ART数据分析中心。与其他Radco核心接口的成像统计界面专家 集成数据类型以进行假设检验的项目。