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

项目总结/摘要 在最初的资助期间，ABCD联盟采用了严格的流行病学方法， 通过我们的21个研究站点招募了11，878名9-10岁的儿童，其中2136名 是双胞胎还是三胞胎ABCD已经创建了一个全面而有效的协议， 年轻人和父母，使用标准化和最先进的神经成像方法， 生物样本，以及物质使用评估，精神和身体健康，神经认知， 文化和环境，使用完全数字化的平台并利用移动的技术。 我们通过采用由以下人员设计的招聘战略来确保凝聚力和标准化： 专业调查公司（具有监测未来的经验）;标准化 环境，神经认知和心理健康评估，MRI评估，所有 使用协调的人类连接组项目程序和计算机化数据的扫描仪 实时质量控制。根据发展情况定制的评估将具有稳定的 在整个儿童和青少年发展时期的敏感性和结构效度。他们 最大限度地减少参与者的负担，但捕捉随着时间的推移，在物质使用，精神 健康，神经认知，发展和环境，我们采用了新的最先进的 生物测定和从移动的装置被动收集数据。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ABCD数据 分析、信息学和资源中心，该中心将： 统一的MRI采集协议，与所有主要扫描仪平台兼容， 结构和功能MRI的最新技术进步的优势;执行严格的 质量控制和定量校准程序，以确保 跨扫描仪和跨时间的衍生成像测量;实施高级计算 所有成像数据的分析工作流程;实施可靠的数据输入、质量控制， 物质使用问卷、神经认知评估、生物测定的监测工具- 衍生措施和移动的技术评估数据;实施最先进的 整合各项措施的信息所需的统计分析工具和程序， 方式;继续发展基础设施和程序， 衍生数据及相关工具和计算工作流;并启用交互式数据 通过基于Web的门户进行探索和分析。

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.