NCANDA: DATA ANALYSIS RESOURCE

项目摘要/摘要 在青壮年，饮酒量急剧增加，狂欢程度的饮酒量在22岁和 近一半的饮酒者报告称自己酗酒。在此期间经常酗酒 延长到25岁左右的神经成熟期可能会比 成年后也有类似的饮酒习惯。本申请是对RFA-AA-17-005的响应 全国青少年酒精与神经发育联合会(NCANDA)数据分析资源 (U24)确定青春期和青春期加速饮酒的预测因素和影响。 NCANDA-2将跟踪来自5个采集点的831名参与者(首次访问的年龄为12-21岁)的初始队列，并 获取必要的数据，以促进我们对青少年发展的理解和 使用多模式神经成像、认知测试和 行为评估。酒精后果的检查将集中在结构和功能上 在青春期活跃发育的大脑区域成熟，参与心理调节， 对奖励做出反应，似乎很容易受到酒精有害影响的影响。随着额外的纵向 通过这次更新提供的数据，我们将确定酒精暴露对发育的影响 青春期人类大脑的轨迹，并识别先前存在的心理生物脆弱性，这些脆弱性可能会 酒精使用障碍风险较高的青少年或青年。数据分析资源(DAR) 将1)监督跨站点标准化和可比性的数据收集；2)执行以下方面的数据分析 在每个站点收集的核心措施；3)促进跨站点池化和集中数据存储；4)创建 跨评估模式的数据库，以实现高效检索；5)协调数据和资源共享；6) 协调站点间的数据；以及7)使用机器创建和实施新颖的多模式分析 学习使用广谱数据。DAR有5个具体目标： 目标1.保持收集神经影像、神经心理和临床资料的标准化程序 评估数据，并与现有的大规模神经发育研究努力相协调。 目的2.确保影像和神经心理学数据采集的跨站点质量控制。 目标3.维护和改进用于数据提交、分析和分发的信息基础设施。 A)维护一个数据库，综合所有NCANDA站点的各种综合数据。 B)向联盟绩效指标提供数据，以便在实验领域内和跨实验领域进行假设检验。 目的4.提供宏观、微观和fMRI神经图像处理和分析。 目标5.为科学公众开发和维护数据共享和分发系统。

PROJECT SUMMARY / ABSTRACT During young adulthood, drinking dramatically increases, with binge-level drinking peaking at age 22 and nearly half of individuals who drink report binge-level alcohol use. Frequent binge alcohol use during the protracted neuromaturation extending into the mid 20s may result in greater brain and cognitive effects than similar alcohol use in later adulthood. This application is in response to RFA-AA-17-005, Continuation of the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) Data Analysis Resource (U24) to determine the predictors and effects of accelerated alcohol use in adolescence and young adulthood. NCANDA-2 will follow the initial cohort of 831 participants (ages 12-21 at first visit) from 5 collection sites and acquire the necessary data to advance our understanding of adolescent development and the effects of alcohol use on the adolescent and young adult brain using multimodal neuroimaging, cognitive testing, and behavioral assessment. The examination of alcohol consequences will focus on structural and functional maturation of brain areas that actively develop during adolescence, are involved in psychological regulation, respond to rewards, and appear vulnerable to deleterious effects of alcohol. With the additional longitudinal data provided by this renewal, we will determine the effects of alcohol exposure on the developmental trajectory of the adolescent human brain and identify preexisting psychobiological vulnerabilities that may put an adolescent or young adult at elevated risk for an alcohol use disorder. The Data Analysis Resource (DAR) will 1) oversee data collection with standardization and comparability across sites; 2) perform data analysis for core measures collected at each site; 3) facilitate across-site pooling and centralized data storage; 4) create a database across assessment modalities for efficient retrieval; 5) coordinate data and resource sharing; 6) harmonize data across sites; and 7) create and implement novel, multimodality analyses using machine learning to engage broad spectrum data. The DAR has 5 Specific Aims: Aim 1. Maintain standardized procedures for collection of neuroimaging, neuropsychological, and clinical assessment data and harmonize with existing large-scale neurodevelopmental research efforts. Aim 2. Ensure across-site quality control for imaging and neuropsychological data acquisition. Aim 3. Maintain and advance informatics infrastructure for data submission, analysis, and distribution. a) Maintain a database integrating the diverse and comprehensive data from all NCANDA sites. b) Provide data to consortium PIs for hypothesis testing within and across experimental domains. Aim 4. Provide macrostructural, microstructural, and fMRI neuroimage processing and analysis. Aim 5. Develop and maintain a data sharing and distribution system for the scientific public.