Core C - Neuroimaging and Informatics

核心C -项目总结/摘要 复杂的信息学对于任何多地点或协调的科学努力的成功至关重要， 能够以意想不到的方式重新使用数据和结果，大大提高了 项目拟议P01的核心C“血管对痴呆的贡献和遗传风险因素， 阿尔茨海默病”将继续提供高质量的计算，协调和成像资源 项目1、2和3，核心B，以及所有P01研究者、工作人员和授权科学家。核心的活动 C将支持P01的科学目标以及更广泛的国家阿尔茨海默病（AD）， 痴呆症研究社区 考虑到作为P01的一部分收集的数据的多模态性质，强大的信息学，数据 管理和协调至关重要。核心C将1）提供信息学数据管理框架 对于项目1和2，包括临床前和轻度认知过程中轻微认知下降的诊断标准 AD的损伤阶段，以及所有P01项目的统一成像数据。这种集中的网络数据 系统将用于受试者的登记和记录，包括基线时的入组， 原始和预处理成像数据的后续、存档和跟踪以及开放数据传播; 2）确保 使用最先进的审查工作流程对P01项目中的所有神经影像学数据进行高质量控制 以及弥散张量成像（DTI）、功能磁共振成像（fMRI）、结构磁共振成像（MRI） (MRI)、动态对比增强（DCE）MRI、动脉自旋标记（ASL）MRI和动态磁化率 对比度（DSC）MRI数据; 3）为每个项目的每个成像模式提供统一的分析工作流程 它可以通过用户友好的统一数据分析管道来适应任何计算环境， 所有研究者均可访问;以及4）提供生物统计支持（通过与核心A MPI合作，所有P01项目 和核心领导人和共同研究者，以及生物统计学家），以帮助我们进行分析方法、数据协调， 纵向数据建模。

CORE C – PROJECT SUMMARY/ ABSTRACT Sophisticated informatics is critical to the success of any multisite or coordinated scientific effort and enables subsequent re-use of data and findings in unanticipated ways greatly enhancing the overall value of the project. Core C of the proposed P01 “Vascular Contributions To Dementia And Genetic Risk Factors For Alzheimer’s Disease” will continue providing high quality computational, harmonization, and imaging resources for Projects 1, 2, and 3, Core B, and all P01 investigators, staff, and authorized scientists. The activities of Core C will support the scientific goals of the P01 as well as the broader national Alzheimer’s disease (AD) and dementia research community. Given the multimodality nature of data collected as a part of the P01, robust informatics, data management, and harmonization are critical. Core C will 1) provide an informatics data management framework for Projects 1 and 2 including diagnostic criteria for subtle cognitive decline during preclinical and mild cognitive impairment stages of AD, and harmonized imaging data for all P01 Projects. This centralized web-based data system will be used for registration and documentation of participants, including enrollment at baseline and follow-up, archival and tracking of raw and pre-processed imaging data and open data dissemination; 2) ensure high quality control of all neuroimaging data across P01 Projects using a state-of-the-art workflow for the review and assessment of diffusion tensor imaging (DTI), functional MRI (fMRI), structural magnetic resonance imaging (MRI), dynamic contrast-enhanced (DCE) MRI, arterial spin labeling (ASL) MRI, and dynamic susceptibility contrast (DSC) MRI data; 3) deliver a harmonized analysis workflow for each imaging modality for each Project that can accommodate any computational environment via a user-friendly, uniform data analysis pipeline that is accessible to all investigators; and 4) provide biostatistical support (by working with Core A MPIs, all P01 project and core leaders and co-investigators, and biostatisticians) for our analytic approaches, data harmonization, and modeling of longitudinal data.