NCANDA: DATA ANALYSIS RESOURCE

项目总结/摘要 在年轻的成年期，饮酒量急剧增加，22岁时达到顶峰， 近一半的饮酒者报告说他们酗酒。经常酗酒， 延长到20多岁中期的神经成熟可能会对大脑和认知产生比 在成年后期使用类似的酒精。本申请是对RFA-AA-17-005的回应， 国家酒精和青少年神经发育联盟（NCANDA）数据分析资源 (U24)以确定青少年和青年期加速饮酒的预测因素和影响。 NCANDA-2将随访来自5个采集中心的831名参与者（首次访视时年龄为12-21岁）的初始队列， 获取必要的数据，以促进我们对青少年发展和影响的理解， 使用多模式神经成像，认知测试， 行为评估对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的成熟，涉及心理调节， 对奖励做出反应，并对酒精的有害影响表现出脆弱性。随着纵向 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。 青少年大脑的轨迹，并确定预先存在的心理生物学脆弱性， 处于酒精使用障碍高风险的青少年或年轻人。数据分析资源（DAR） 将1）监督数据收集的标准化和跨研究中心的可比性; 2）进行数据分析， 在每个站点收集的核心度量; 3）促进跨站点汇集和集中数据存储; 4）创建 跨评估模式的数据库，以便有效检索; 5）协调数据和资源共享; 6） 协调各研究中心的数据;以及7）使用机器创建和实施新颖的多模态分析 学习使用广谱数据。该计划有五个具体目标： 目标1。维护神经影像学、神经心理学和临床检查的标准化程序 评估数据，并与现有的大规模神经发育研究工作相协调。 目标二。确保成像和神经心理学数据采集的跨站点质量控制。 目标3：维护和推进数据提交、分析和分发的信息基础设施。 （a）维持一个数据库，将NCANDA所有站点的各种全面数据综合起来。 B）向联盟PI提供数据，用于实验领域内和实验领域之间的假设检验。 目标4。提供宏观结构、微观结构和功能磁共振成像神经图像处理和分析。 目标5。开发和维护科学公众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.