NCANDA: Data Analysis Resource - Uploading Legacy Data to NDA

项目总结 本补编要求资金使国家统计局在前八年获得的纵向数据 酒精与青春期神经发育研究联盟(NCANDA)研究可通过 国家精神卫生研究所数据档案库(NDA)。从2013到2015年，NCANDA的5个站点 招募了一个多样化的社区样本，其中大部分是不喝酒到不喝酒的人(12到21岁，N=831)，并跟踪 从那时起(保留率为93%)。监测涉及到每年获得的多模式神经成像 (MRI、DTI、静息状态fMRI)以及认知、临床和行为数据。而当前获取的数据 资金周期(也称为NCANDA-A)，即从9年起上载到NDA，不为以下项目编制预算 将前8年的纵向数据归档到NDA。补编将提供这些资金，因此 使用单一数据结构让公众完全访问这个唯一且有价值的纵向数据集 放松分析大量饮酒对NCANDA队列影响的关键一步。 NCANDA-A有四个主要目标。关于目标1，该财团一直在调查 青春期过量饮酒与成年后发育的关系 认知表现的轨迹，大脑结构和功能，以及精神病理学。对于目标2，NCANDA 一直在识别神经发育模式，描述酒精对大脑影响的程度 结构和功能在酗酒后停药的过程中消失或持续。目标3侧重于数据驱动 分析以确定青少年的生物、环境和行为因素(例如，开始饮酒的年龄) 这预示着成年初期会过度饮酒。关于目标4，NCANDA-A一直在量化 冠状病毒大流行对生活压力和社会、情感和经济福祉的影响及其 与酒精使用模式的关系。对于每个目标，发育中的性别差异，酒精使用模式和 测试了病史、酒精使用对大脑的影响，以及性别差异的心理社会因素。 自研究开始以来，NCANDA网站一直在将他们的数据上传到 NCANDA数据分析资源(DAR)，其管理PI是Dr.Pohl。关于NCANDA-A， DAR按照五个目标管理数据。目标1确保收集和质量控制程序 神经影像、神经心理学和临床评估数据的标准化。对于AIM D2，DAR 一直在推进现有的信息学基础设施，以整合所有站点收集的数据。使用 在目标D3方面，他们正在增强宏观结构、微观结构和功能神经图像处理 和分析。关于目标D4，DAR创建机器(深度)学习框架，识别预测性 成年早期饮酒的标志。最后，对于AIM D5，他们维护数据共享和分发系统 面向财团个人投资机构和广大科学公众。从NCANDA-A开始，九年后的数据 将在保密协议上共享。使头8年的数据也可以通过保密协议获得，这是本补充材料的目的。

PROJECT SUMMARY This supplement requests funds to make the longitudinal data acquired in the first eight years by the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study publicly available via the National Institute of Mental Health Data Archive Repository (NDA). From 2013 to 2015, the 5 sites of NCANDA recruited a diverse community sample of mostly no-to-low drinkers (12 to 21 years old, N=831) and tracked them since then (93% retention rate). Monitoring has involved annually acquired multimodal neuroimaging (MRI, DTI, resting state fMRI) and cognitive, clinical, and behavioral data. While data acquired by the current funding cycle (a.k.a. NCANDA-A), i.e., from 9 years onwards, are uploaded to NDA, no funds are budgeted for archiving the longitudinal data of the first 8 years to NDA. The supplement would provide those funds and thus give complete public access to this unique and valuable longitudinal data set using a single data structure, a critical step in easing analysis of the impact of heavy alcohol drinking on the NCANDA cohort. NCANDA-A has 4 main aims. With respect to Aim 1, the consortium has been investigating the impact of excessive alcohol drinking during adolescence and emerging adulthood on subsequent developmental trajectories of cognitive performance, brain structure and function, and psychopathology. For Aim 2, NCANDA has been identifying neurodevelopment patterns describing the extent to which alcohol's effects on brain structure and function resolve or persist during desistance after binge drinking. Aim 3 focuses on data-driven analysis to identify adolescent biological, environmental, and behavioral factors (e.g., age of drinking onset) that forecast excessive drinking during early adulthood. Regarding Aim 4, NCANDA-A has been quantifying the impact of the COVID pandemic on life stress and social, emotional, and economic wellbeing and their relations with alcohol use patterns. For each aim, sex differences in development, alcohol use patterns and history, impact of alcohol use on the brain, and sex-differentiating psychosocial factors are tested. Since the initiation of the study, the NCANDA sites have been uploading their data onto servers of the NCANDA Data Analysis Resource (DAR), whose administrative PI is Dr. Pohl. With respect to NCANDA-A, the DAR manages the data in line with five aims. Aim D1 ensures that procedures for collection and quality control of neuroimaging, neuropsychological, and clinical assessment data are standardized. For Aim D2, the DAR has been advancing the existing informatics infrastructure for integrating data collected across all sites. With respect to Aim D3, they are enhancing macrostructural, microstructural, and functional neuroimage processing and analysis. Regarding Aim D4, the DAR creates machine (deep) learning frameworks identifying predictive markers of early adulthood drinking. Finally, for Aim D5, they maintain data sharing and distribution systems for consortium PIs and the scientific public at large. Starting with NCANDA-A, data from nine years onwards will be shared on NDA. To make the first 8 years of data accessible also via NDA is the aim of this supplement.