ABCD-USA Consortium: Data Analysis Center

ABCD-美国联盟：数据分析中心

• 批准号: 9564268
• 负责人: ANDERS M DALE
• 金额: $ 10万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2020-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9564268
• 关键词: 10 year old; Address; Adolescent; Adolescent Development; Alcohol or Other Drugs use; Alcohols; American; Behavioral; Bioinformatics; Biological; Biological Assay; Brain; Brain imaging; Calibration; Child; Child Development; Childhood; Clinical assessments; Communities; Computer Analysis; Data; Data Analyses; Data Collection; Development; Diffusion Magnetic Resonance Imaging; Ensure; Environment; Epidemiology; Functional Magnetic Resonance Imaging; Future; Genetic; Genetic study; Geography; Goals; Human; Image; Individual; Informatics; Link; Machine Learning; Magnetic Resonance Imaging; Marijuana; Measures; Mental Health; Methodology; Modality; Monitor; Neurobiology; Neurocognition; Neurocognitive; Online Systems; Outcome; Participant; Pattern; Phenotype; Population; Procedures; Process; Protocols documentation; Psychopathology; Quality Control; Questionnaires; Recruitment Activity; Reporting; Research; Research Design; Research Infrastructure; Research Personnel; Research Project Grants; Rest; Risk; Sampling; Site; Social Functioning; Standardization; Statistical Data Interpretation; Surveys; Symptoms; Technology; Technology Assessment; Testing; Time; Twin Multiple Birth; Uncertainty; adolescent brain development; adolescent substance use; base; behavioral health; cognitive development; cognitive neuroscience; cognitive testing; cohesion; computer infrastructure; computerized; connectome; data modeling; design; early onset; emerging adult; experience; handheld mobile device; imaging genetics; imaging study; informatics infrastructure; marijuana use; misuse of prescription only drugs; mobile computing; multimodality; neuroimaging; novel; public health relevance; success; time use; tool; trend

 DESCRIPTION (provided by applicant): The ABCD-USA Consortium proposes a study designed to permit the scientific community to answer important questions about the effects of substance use (SU) patterns on behavioral and brain development of adolescents. We have assembled a team of investigators with unparalleled research experience with children and adolescents, and specific expertise in adolescent SU, child and adolescent development, developmental psychopathology, longitudinal multi-site imaging, developmental neuroimaging, developmental cognitive neuroscience, genetics and imaging genetics, bioassays, epidemiology, survey research, bioinformatics, and mobile assessment technologies. We propose a comprehensive, nationwide study to be conducted at 21 sites organized into 11 hubs (over 89 million Americans, 29% of the US population, live within 50 miles of our geographically spread sites), that, uniquely, can provide a nationally representative sample and a large twin sample that together can help distinguish environmental, sociocultural, and genetic factors relevant to SU. We ensure cohesion and standardization by employing a recruitment strategy designed by a professional survey company (experience with Monitoring the Future); standardized environmental, neurocognitive and mental health assessments, MRI assessments with all scanners using harmonized Human Connectome Project procedures, and computerized data collection with real-time quality control. Developmentally tailored assessments will have stable sensitivity and construct validity across the childhood and adolescent developmental period. They minimize participant burden, yet capture even subtle changes over time in substance use, mental health, neurocognition, development, and environment, and we employ novel state-of-the-art bioassays and passive data collection from mobile devices. A detailed retention plan builds on the experience and success of our investigators. This application describes the ABCD-USA Data Analysis and Informatics Center (DAIC), which will: establish a harmonized MRI acquisition protocol, compatible with all major scanner platforms, taking advantage of recent technological advances in structural and functional MRI; establish rigorous quality control and quantitative calibration procedures to ensure accuracy and comparability of derived imaging measures across scanners and across time; implement advanced computational analysis workflows for all imaging data; implement reliable data entry, quality control, and monitoring tools for the substance use questionnaire, neurocognitive assessments, bioassay-derived measures, and mobile technologies assessment data; implement the state- of-the-art statistical analysis tools and procedures needed to integrate information across measures and modalities; and implement infrastructure and procedures for public sharing of raw- and derived data and associated tools and computational workflows, and enable interactive data exploration and analytics through a web-based Portal.

 描述（由申请人提供）：ABCD-USA联盟提出了一项研究，旨在允许科学界回答有关物质使用（SU）模式对青少年行为和大脑发育影响的重要问题。我们已经组建了一个研究团队，他们具有无与伦比的儿童和青少年研究经验，以及青少年SU，儿童和青少年发育，发育精神病理学，纵向多部位成像，发育神经成像，发育认知神经科学，遗传学和成像遗传学，生物测定，流行病学，调查研究，生物信息学和移动的评估技术的特定专业知识。我们建议在21个地点进行一项全面的全国性研究，这些地点分为11个中心（超过8900万美国人，占美国人口的29%，居住在我们地理分布的地点50英里内），独特地，可以提供一个全国代表性的样本和一个大型双胞胎样本，共同帮助区分与SU相关的环境，社会文化和遗传因素。我们通过采用专业调查公司设计的招聘策略（具有监测未来的经验）来确保凝聚力和标准化;标准化的环境，神经认知和心理健康评估，使用统一的人类连接组项目程序进行所有扫描仪的MRI评估，以及实时质量控制的计算机化数据收集。发展定制的评估将有稳定的敏感性和结构效度在整个儿童和青少年的发展阶段。它们最大限度地减少了参与者的负担，但随着时间的推移，在物质使用，心理健康，神经认知，发展和环境中捕捉甚至细微的变化，我们采用了最先进的生物测定和被动数据收集从移动的设备。详细的保留计划建立在我们调查人员的经验和成功的基础上。该申请描述了ABCD-美国数据分析和信息学中心（DAIC），该中心将：建立一个协调一致的MRI采集协议，与所有主要扫描仪平台兼容，利用结构和功能MRI的最新技术进步;建立严格的质量控制和定量校准程序，以确保不同扫描仪和不同时间的衍生成像测量的准确性和可比性;为所有成像数据实施先进的计算分析工作流程;为物质使用问卷、神经认知评估、生物测定衍生的测量和移动的技术评估数据实施可靠的数据输入、质量控制和监测工具;采用综合各种措施和模式的信息所需的最新统计分析工具和程序;实施基础设施和程序，以公开共享原始数据和衍生数据以及相关工具和计算工作流程，并通过基于网络的门户网站实现交互式数据探索和分析。