Core F: Neuroimaging Core

核心 F：神经影像核心

• 批准号: 10431785
• 负责人: HOWARD J ROSEN
• 金额: $ 49.4万
• 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/10431785
• 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; Medical Genetics; Methodology; Multimodal Imaging; Neurodegenerative Disorders; Neurosciences; Pathologic; Patients; Perfusion; Positron-Emission Tomography; Productivity; Proteins; Protocols documentation; Publications; Quality Control; Research; Research Personnel; Research Support; Research Training; Rest; Role; Signal Transduction; Supervision; System; Techniques; Training; Training Programs; Training Support; Work; accurate diagnosis; analytical method; analytical tool; base; brain volume; cohesion; 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; ranpirnase; rapid diagnosis; skills; social; 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 加州大学旧金山分校阿尔茨海默病研究中心 (ADRC) 的影像核心通过以下方式积极支持该中心： 管理高质量结构和功能 MRI 和 PET 数据集的采集、归档和处理 并将这些数据提供给 ADRC 和其他调查人员。在我们 P50 中心的前几个周期中，成像 Core 一直是应用尖端结构、功能和分子成像技术的领导者 临床核心中遵循异质队列。在这个新的 P30 应用中，成像核心将追求 目标如下： 目标 1：图像的收集和归档以及图像数据库的维护。我们 将监督 ADRC 参与者的以下 MRI 和 PET 序列的管理：MP-RAGE、FLAIR、 T2 加权、DTI、ASL 灌注、ICN-fMRI 以及淀粉样蛋白和 tau PET 扫描。我们将进行去识别化存档 ADRC 调查人员的其他人员可以访问服务器上的图像，并提供用于定位和定位的工具 下载图像进行分析。我们还将向 NACC 上传 MRI 和 PET 成像数据集，以方便 分享，我们将可以回答有兴趣使用这些图像的研究人员的问题。目标 2： 图像质量控制和预处理：我们将为 MPRAGE 采用 QC 和预处理框架， DTI、ASL-MRI、ICN-fMRI 以及淀粉样蛋白和 tau PET 图像，方便 AD 研究人员及其使用 整合到多模态分析中。目标 3：标准和创新的开发和传播 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、白质信号高信号、基于功能磁共振成像的连接、大脑 灌注和 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数据的复杂分类引擎。 我们数据中的关系类型，例如基于机器学习的工具和体素方式的实现 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 将图像采集和分析的基本原理整合到研究培训计划中的组件 并支持对希望将图像分析纳入其研究的个人进行额外培训 技能。为了实现这些目标，成像核心将与所有其他 ADRC 核心广泛交互，共同工作 实现提高诊断准确性、增进我们对疾病的理解的共同目标 机制，并通过改进临床试验设计来实现药物发现。