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.

神经成像核心摘要 关于“超级老人”的大脑，以及什么和如何恢复， 因素影响典型的大脑老化轨迹，并确定大脑储备的哪些方面是 大多数与百岁老人认知功能的保留有关。的 神经成像核心监督三个成像数据的采集，存储和分析 参与的成像中心：MGH（波士顿）、哥伦比亚大学（纽约）和加州大学洛杉矶分校（洛杉矶 Angeles）。这些站点具有相同的扫描仪，Siemens Prisma 3 T MRI， 最先进的脉冲序列发生器核心将优化采集和分析 确保跨中心的数据高度标准化并实现 对比噪声比（CNR），以确保数据集成成功。核心的范围很广 目标是通过识别一组高分辨率的 检查大脑结构和功能的脉冲序列，在可容忍的时间间隔内 百岁老人，使用最先进的数据分析技术。NIC的一般假设 结构和功能上的连接性对于长期保存 认知.将通过生成最佳MRI数据并结合分析来检验该假设 旨在研究网络动态和纵向轨迹的工具，重点是大脑 对认知和记忆最关键的网络和区域。这三个具体目标是： 1：在Prisma平台上测试和使用三个地点的最先进脉冲序列 这对于理解包括多回波/多波段在内的弹性大脑结构至关重要， 导航器高分辨率T1/T2，静息状态功能连接MR，扩散张量 成像、伪连续动脉自旋标记和定量敏感性标测。 目标2：进行持续的研究中心内部和研究中心之间的QA，图像标准化的预处理 和偏差校正，并将跨站点的数据集中到成像数据存储库中。目标三： 进行图像分析，结合不同研究中心/医疗器械内的数据;创建输出指标 对于每种数据类型，并结合项目，协助整合成像 将措施纳入项目假设。成像中心通过一个连接器连接并进一步集成， 犹他州大学最先进的数据分析中心。影像统计学专家 与其他RADCO核心和项目接口，以集成数据类型进行假设检验。