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的摘要 信息学，数据分析和统计核心（IDASC）将实施人类Connectome项目的 老化成人脑连接组（AABC）项目的多模式成像数据的数据分析方法。会 归档成像数据是由集成数据采集核心（IDAC）收集的，并提供反馈 作为其初始质量控制的一部分，就IDAC而言，有关任何数据质量问题。 IDASC也将策划 通过遗传学和多词的核心来管理生物学，社会学和行为措施 （GMSC）和IDAC。 HCP的大脑成像预处理管道将在成像数据上运行 已被数据库接受。这包括用于结构，功能，扩散和ASL的预处理 MRI数据。然后，IDASC将对这些预处理结果进行质量控制。 IDASC也将 开发横截面和纵向数据分析管道以生成多模式成像数据 表型（IDP）代表大脑体系结构/形态计量学，功能和连通性测量 大脑区域，功能网络和白质区域的水平。将这些成像措施与 IDAC和GMSC收集和产生的生物学，社会学和行为措施， IDASC将通过生成优化的纵向统计模型来帮助这4个亚项目 关于大脑，行为/社会学和生物学因素之间相互作用的特定假设 有助于阿尔茨海默氏病（AD）或其他痴呆症。 IDASC还将在结束时共享数据 项目。