THE INFORMATICS, DATA ANALYSIS, AND STATISTICS CORE (IDASC)

信息学、数据分析和统计核心 (IDASC)

• 批准号: 10283066
• 负责人: Daniel Scott Marcus
• 金额: $ 104.03万
• 依托单位: WASHINGTON UNIVERSITY
• 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/10283066
• 关键词: Accounting; Address; Adult; Aged, 80 and over; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Architecture; Archives; Area; Behavioral; Biological; Biological Factors; Brain; Brain imaging; Cross-Sectional Studies; Data; Data Analyses; Data Collection; Data Set; Databases; Dementia; Dependence; Detection; Development; Diffusion; Ensure; Exclusion; Fascicle; Feedback; Generations; Genetic; Human; Image; Informatics; Ingestion; Left; Life Style; Longevity; Magnetic Resonance Imaging; Manuals; Measures; Menopause; Methods; Modality; Modeling; Morphologic artifacts; Multimodal Imaging; Output; Process; Production; Protocols documentation; Quality Control; Reporting; Resistance; Resolution; Running; Scanning; Services; Site; Sociology; Source; Specimen; Spin Labels; Standardization; Statistical Data Interpretation; Statistical Models; Structure; Surface; Time; allostatic load; analysis pipeline; base; behavior measurement; brain behavior; central database; computerized data processing; connectome; dashboard; data acquisition; data analysis pipeline; data integrity; data pipeline; data quality; data sharing; gray matter; human disease; image archival system; imaging modality; lifestyle factors; longitudinal analysis; multimodality; multiple omics; novel; phenotypic data; resilience; statistics; success; tool; white matter; young adult

ABSTRACT FOR IDASC The Informatics, Data Analysis, and Statistics Core (IDASC) will implement the Human Connectome Project’s data analysis approach for the Aging Adult Brain Connectome (AABC) Project’s multi-modal imaging data. It will archive the imaging data as it is collected by the Integrated Data Acquisition Core (IDAC) and provide feedback to the IDAC on any data quality concerns as a part of its initial quality control. The IDASC will also curate and manage biological, sociological, and behavioral measures from the Genetics and Multi-omics Specimens Core (GMSC) and IDAC. The HCP’s brain imaging preprocessing pipelines will be run on the imaging data when it has been accepted by the database. This includes preprocessing for structural, functional, diffusion, and ASL MRI data. The IDASC will then perform quality control on these preprocessing results. The IDASC will also develop cross-sectional and longitudinal data analysis pipelines to generate multi-modal Imaging Data Phenotypes (IDPs) representing brain architectural/morphometric, functional, and connectivity measures at the levels of brain areas, functional networks, and white matter tracts. Using these imaging measures together with the biological, sociological, and behavioral measures collected and generated by the IDAC and GMSC, the IDASC will assist the 4 sub-projects with generation of optimized longitudinal statistical models to address their specific hypotheses about interactions between brain, behavior/sociological, and biological factors that contribute to Alzheimer’s Disease (AD) or other dementias. The IDASC will also share data at the conclusion of the project.

IDASC摘要 信息学，数据分析和统计核心（IDASC）将实施人类连接组项目的 老龄成人脑连接组（AABC）项目的多模态成像数据的数据分析方法。它将 在集成数据采集核心（IDAC）收集成像数据时将其存档，并提供反馈 作为初始质量控制的一部分，向IDAC提供任何数据质量问题。IDASC还将策划和 管理遗传学和多组学标本核心的生物学、社会学和行为学测量 （GMSC）和IDAC。HCP的脑成像预处理管道将在成像数据上运行， 已被数据库接受。这包括结构、功能、扩散和ASL的预处理 MRI数据。IDASC将对这些预处理结果进行质量控制。IDASC还将 开发横截面和纵向数据分析管道，以生成多模态成像数据 表型（IDP）代表大脑结构/形态测量，功能和连接措施， 大脑区域、功能网络和白色物质束的水平。将这些成像措施与 IDAC和GMSC收集和生成的生物学、社会学和行为学指标， IDASC将协助4个子项目生成优化的纵向统计模型，以解决其 关于大脑、行为/社会学和生物学因素之间相互作用的具体假设， 导致阿尔茨海默病（AD）或其他痴呆症。IDASC还将在结束时分享数据， 该项目