ABCD-USA Consortium: Data Analysis, Informatics and Resource Center

项目摘要/摘要 在最初的资助期，ABCD财团使用了严格的流行病学方法 通过我们的21个研究站点招募11,878名9-10岁的不同样本，其中2136人 是双胞胎还是三胞胎。ABCD为参与制定了一项全面而高效的协议 年轻人和父母，使用标准化和最先进的神经成像方法， 生物制品、物质使用评估、身心健康、神经认知、 文化和环境，使用一个完全数字化的平台，并利用移动技术。 我们通过采用由以下公司设计的招聘策略确保凝聚力和标准化 专业调查公司(监控未来的经验)；标准化 环境、神经认知和精神健康评估、磁共振成像评估 使用协调人类连接体项目程序和计算机化数据的扫描仪 具有实时质量控制的采集。根据发展情况量身定做的评估将具有稳定性 儿童和青少年发展阶段的敏感度和结构效度。他们 最大限度地减少参与者的负担，同时捕捉到随时间推移在物质使用、精神上的细微变化 健康、神经认知、发展和环境，我们采用了最先进的新技术 从移动设备进行生物检测和被动数据收集。详细的保留计划建立在 我们调查人员的经验和成功。此应用程序描述了chuang xun数据 分析、信息学和资源中心(DAIRC)，它将：维护和更新 统一的MRI采集协议，兼容所有主要扫描仪平台，采用 在结构和功能磁共振方面的最新技术进步的优势；严格执行 质量控制和定量校准程序，以确保准确度和可比性 跨扫描仪和跨时间派生成像测量；实施高级计算 分析所有成像数据的工作流程；实施可靠的数据输入、质量控制和 药物使用问卷，神经认知评估，生物测定的监测工具- 衍生措施和移动技术评估数据；实施最先进的 需要统计分析工具和程序来整合各种衡量标准和信息 方式；继续发展基础设施和公开分享原始和 派生数据及相关工具和计算工作流程；并支持交互数据 通过基于Web的门户网站进行探索和分析。

Project Summary/Abstract In its initial funding period, the ABCD consortium used a rigorous epidemiological approach to recruit a diverse sample of 11,878 9-10-year-olds through our 21 research sites, of which 2136 are twins or triplets. ABCD has created a comprehensive yet efficient protocol for participating youth and parents, using standardized and state-of-the-art methods for neuroimaging, biospecimens, and assessments of substance use, mental and physical health, neurocognition, culture, and environment, using a fully digital platform and making use of mobile technologies. We ensure cohesion and standardization by having employed 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 Data Analysis, Informatics and Resource Center (DAIRC), which will: maintain and update the harmonized MRI acquisition protocol, compatible with all major scanner platforms, taking advantage of recent technological advances in structural and functional MRI; perform 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; continue development of 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.