NCANDA: Data Analysis Resource - Uploading Legacy Data to NDA

项目摘要 这一补充要求提供资金，以使国家统计局在前八年获得的纵向数据 酒精和青少年神经发育联合会（NCANDA）研究，可通过 国家精神卫生研究所数据档案库（NDA）。从2013年到2015年，NCANDA的5个站点 招募了一个多元化的社区样本，大多数是不饮酒者（12至21岁，N=831），并跟踪 自那时以来，他们（93%的留存率）。监测涉及每年获得的多模态神经成像 (MRI、DTI、静息状态fMRI）和认知、临床和行为数据。虽然目前获得的数据 供资周期（又称“供资周期”）NCANDA-A），即，从9年起，上传到NDA，没有预算资金 将前8年的纵向数据存档到NDA。补充款将提供这些资金， 使用单一的数据结构，让公众完全访问这一独特而有价值的纵向数据集， 这是简化分析重度饮酒对NCANDA队列影响的关键一步。 NCANDA-A有四个主要目标。关于目标1，该财团一直在研究 在青春期和成年期过度饮酒对随后的发展 认知表现、大脑结构和功能以及精神病理学的轨迹。目标2，NCANDA 一直在识别神经发育模式，描述酒精对大脑的影响程度 结构和功能解决或坚持在戒酒后狂饮。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，饮酒开始年龄） 这预示着成年早期会过度饮酒关于目标4，NCANDA-A一直在量化 COVID大流行对生活压力以及社会、情感和经济福祉的影响， 与酒精使用模式的关系。对于每一个目标，性别差异的发展，酒精使用模式和 历史，酒精使用对大脑的影响，以及性别差异的心理社会因素进行了测试。 自研究开始以来，NCANDA研究中心一直在将其数据上传到 NCANDA数据分析资源（DAR），其管理PI是Pohl博士。关于NCANDA-A， DAR根据五个目标管理数据。目标D1确保收集和质量控制程序 神经影像学、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。与 关于目标D3，它们是增强宏观结构、微观结构和功能性神经图像处理 和分析关于Aim D4，DAR创建了机器（深度）学习框架， 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 为财团PI和广大科学界人士提供服务。从NCANDA-A开始，从9年开始的数据 将在NDA上共享。通过NDA也可以访问前8年的数据，这是该补充的目的。

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.