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ABCD-USA Consortium: Data Analysis Center

ABCD-USA Consortium: Data Analysis Center
ABCD-美国联盟:数据分析中心
批准号:
9283546
负责人:
ANDERS M DALE
金额:
$277.75万
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-30 至 2020-05-31
关键词:

项目摘要

项目成果

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中文摘要
翻译
 描述(由申请者提供):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。我们组建了一支在儿童和青少年领域拥有无与伦比的研究经验的研究团队,他们在青春期苏、儿童和青少年发展、发展精神病理学、纵向多部位成像、发展神经成像、发展认知神经科学、遗传学和成像遗传学、生物分析、流行病学、调查研究、生物信息学和移动评估技术方面具有独特的专业知识。我们建议在分成11个枢纽的21个地点进行一项全面的全国性研究(超过8900万美国人,占美国人口的29%,居住在距离我们地理分布的地点50英里的范围内),这项研究独一无二地可以提供一个具有全国代表性的样本和一个大的孪生样本,它们一起可以帮助区分与SU相关的环境、社会文化和遗传因素。我们通过采用由专业调查公司设计的招聘战略(监控未来的经验)、标准化的环境、神经认知和精神健康评估、使用协调的Human Connectome Project程序的所有扫描仪的MRI评估以及具有实时质量控制的计算机化数据收集来确保凝聚力和标准化。为发展量身定做的评估将具有稳定的敏感性,并在儿童和青少年发展阶段构建效度。它们将参与者的负担降至最低,同时捕捉到物质使用、心理健康、神经认知、发育和环境随着时间的推移而发生的微妙变化,我们采用了新的最先进的生物检测方法和从移动设备收集的被动数据。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。本申请描述了ABCD-USA数据分析和信息学中心(DAIC),该中心将:利用结构和功能磁共振成像方面的最新技术进步,建立与所有主要扫描仪平台兼容的统一磁共振成像采集协议;建立严格的质量控制程序和定量校准程序,以确保跨扫描仪和跨时间派生成像测量的准确性和可比性;对所有成像数据实施先进的计算分析工作流程;对物质使用问卷、神经认知评估、生物测定衍生测量和移动技术评估数据实施可靠的数据输入、质量控制和监测工具;实施最先进的统计分析工具和程序,以整合各种测量和模式的信息;实施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的基础设施和程序,并通过基于网络的门户网站实现交互式数据探索和分析。
英文摘要
 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.
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The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)
Healthy Brain and Child Development National Consortium Data Coordinating Center
  • 批准号:
    10577683
  • 项目类别:
  • 资助金额:
    $72.2万
  • 财政年份:
    2021
  • 负责人:
    ANDERS M DALE
  • 依托单位:
Healthy Brain and Child Development National Consortium Data Coordinating Center
  • 批准号:
    10381046
  • 项目类别:
  • 资助金额:
    $450.0万
  • 财政年份:
    2021
  • 负责人:
    ANDERS M DALE
  • 依托单位:
Healthy Brain and Child Development National Consortium Data Coordinating Center
  • 批准号:
    10666586
  • 项目类别:
  • 资助金额:
    $421.71万
  • 财政年份:
    2021
  • 负责人:
    ANDERS M DALE
  • 依托单位:
海外基金