Core F: Neuroimaging Core

核心 F：神经影像核心

• 批准号: 10647912
• 负责人: HOWARD J ROSEN
• 金额: $ 36.52万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-05-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10647912
• 关键词: Alzheimer' s Disease; Amyloid; Anatomy; Archives; Autopsy; Cerebrum; Classification; Clinical; Clinical Trials Design; Collection; Creutzfeldt-Jakob Syndrome; Cross-Sectional Studies; Data; Data Set; Databases; Dementia; Development; Disease; Early Diagnosis; Early Onset Alzheimer Disease; Enrollment; Functional Imaging; Functional Magnetic Resonance Imaging; Goals; Growth; Heterogeneity; Human; Image; Image Analysis; Imaging Techniques; Individual; Language; Leadership; Ligand Binding; Ligands; Linear Models; Link; Machine Learning; Magnetic Resonance Imaging; Maintenance; Measures; Methodology; Multimodal Imaging; Neurodegenerative Disorders; Neurosciences; Pathologic; Patients; Perfusion; Positron-Emission Tomography; Productivity; Proteins; Protocols documentation; Publications; Quality Control; Recommendation; Research; Research Personnel; Research Support; Research Training; Rest; Role; Signal Transduction; Structure; System; Techniques; Training; Training Programs; Training Support; Work; accurate diagnosis; analytical method; analytical tool; brain volume; cohort; connectome; diagnostic accuracy; drug discovery; education research; emotional functioning; executive function; genetic variant; image archival system; imaging facilities; imaging platform; imaging study; improved; innovation; interest; longitudinal analysis; method development; molecular imaging; multimodality; neuroimaging; novel strategies; programs; rapid diagnosis; skills; social; structural imaging; tau Proteins; tool; white matter

ABSTRACT The Imaging Core of the UCSF Alzheimer’s Disease Research Center (ADRC) actively supports the Center by managing acquisition, archiving, and processing of high quality structural and functional MRI and PET datasets and providing these data to ADRC and other investigators. In previous cycles of our P50 center, the Imaging Core has been a leader in applying cutting-edge structural, functional, and molecular imaging techniques to the heterogeneous cohorts followed in the Clinical Core. In this new P30 application, the Imaging Core will pursue the following aims: Aim 1: Collection and archiving of images and maintenance of an image database. We will supervise management of the following MRI and PET sequences from ADRC enrollees: MP-RAGE, FLAIR, T2-weighted, DTI, ASL perfusion, ICN-fMRI, and amyloid and tau PET scans. We will archive de-identified images on a server accessible to the rest of the ADRC investigators and provide tools for locating and downloading images for analysis. We will also upload MRI and PET imaging datasets to the NACC to facilitate sharing, and we will be available to answer questions for investigators interested in using these images. Aim 2: Image quality control and preprocessing: We will employ QC and pre-processing frameworks for MPRAGE, DTI, ASL-MRI, ICN-fMRI, and amyloid and tau PET images, facilitating their use by AD researchers and their integration into multi-modality analyses. Aim 3: Development and dissemination of standard and innovative analytic tools: We will maintain and refine an array of tools to characterize disease related changes in brain volume, white matter microstructure, white matter signal hyperintensity, fMRI-based connectivity, cerebral perfusion, and PET ligand binding, including optimizing pipelines for cross-sectional and longitudinal analyses. We will further develop sophisticated classification engines capable of utilizing multiple forms of data and multiple types of relationships within our data, such as machine-learning based tools and voxel-wise implementation of mixed linear models. Aim 4: Support research training: We will work with the Research Education Component to integrate basic principles of image acquisition and analysis into the research training program and support additional training of individuals who wish to incorporate image analysis into their set of research skills. In pursuing these aims, the Imaging Core will interact extensively with all other ADRC cores, working towards the common goals of improving diagnostic accuracy, forwarding our understanding of disease mechanisms, and enabling drug discovery by improving clinical trial design.

抽象的 UCSF阿尔茨海默氏病研究中心（ADRC）的成像核心积极支持该中心 管理高质量结构和功能性MRI和PET数据集的获取，存档和处理 并向ADRC和其他研究人员提供这些数据。在我们P50中心的先前周期中，成像 核心一直是将尖端结构，功能和分子成像技术应用于 临床核心遵循的异质队列。在这个新的P30应用程序中，成像核心将追求 以下目的：目标1：图像的收集和存档以及图像数据库的维护。我们 将监督ADRC注册的以下MRI和PET序列的管理：MP-Rage，Flair， T2加权，DTI，ASL灌注，ICN-FMRI和淀粉样蛋白和Tau PET扫描。我们将归档档案 其他ADRC调查人员可访问的服务器上的图像，并提供用于定位和定位的工具 下载图像进行分析。我们还将将MRI和PET成像数据集上传到NACC，以促进 共享，我们将为有兴趣使用这些图像的调查人员回答问题。目标2： 图像质量控制和预处理：我们将采用QC和预处理框架，用于mprage， DTI，ASL-MRI，ICN-FMRI和淀粉样蛋白和Tau PET图像，支持广告研究人员及其使用 集成到多模式分析中。目标3：标准和创新的发展和传播 分析工具：我们将维护和完善一系列工具来表征与疾病相关的大脑变化 体积，白质微观结构，白质信号高强度，基于fMRI的连接，大脑 灌注以及PET配体结合，包括优化横截面和纵向分析的管道。 我们将进一步开发能够利用多种形式的数据和多种形式的复杂分类引擎 我们数据中的关系类型，例如基于机器学习的工具和Voxel的实现 混合线性模型。目标4：支持研究培训：我们将与研究教育合作 将图像获取和分析的基本原理整合到研究培训计划中的组成部分 并支持希望将图像分析纳入其研究集中的个人的额外培训 技能。在追求这些目标时，成像核心将与所有其他ADRC核心进行广泛互动 达到提高诊断准确性的共同目标，转发我们对疾病的理解 通过改进临床试验设计，机制和实现药物发现。