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NCANDA: Data Analysis Resource - Uploading Legacy Data to NDA

NCANDA：数据分析资源 - 将旧数据上传到 NDA

基本信息

批准号：
10852145
负责人：
Adolf Pfefferbaum
金额：
$ 15.22万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-15 至 2027-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10852145
关键词：
21 year old Abstinence Administrative Supplement Adolescence Adolescent Adult Adverse effects Affective Age Alcohol abuse Alcohol consumption Alcohols Archives Behavioral Biological Brain COVID-19 pandemic COVID-19 pandemic effects Clinical Clinical assessments Cognition Cognitive Collection Communities Complement Computers Data Data Analyses Data Management Resources Data Set Development Distress Dose Economics Emotional Emotions Ensure Event Family Female Frequencies Functional Magnetic Resonance Imaging Funding Goals Health Heavy Drinking Independent Living Individual Life Life Stress Link Machine Learning Magnetic Resonance Imaging Measures Mediating Mission Modeling Monitor National Institute of Mental Health Neuropsychology Outcome Outcome Measure Pattern Personal Satisfaction Persons Phase Physical activity Procedures Process Protocols documentation Psychopathology Psychosocial Factor Public Health Quality Control Recording of previous events Recovery Resources Rest Risk Sampling Sex Differences Sex Differentiation Site Sleep Standardization Stress Structure Symptoms Synapses System Technology Testing Youth adolescent binge drinking alcohol cue alcohol effect alcohol expectancy alcohol use initiation binge drinking career cognitive control cognitive performance cohort cue reactivity data archive data dictionary data harmonization data integration data sharing data standards data structure design drinking drinking onset early onset emerging adult emerging adulthood experience externalizing behavior follow-up hazardous drinking informatics infrastructure information processing longitudinal dataset machine learning framework male multimodal neuroimaging neurodevelopment neuroimaging neuropsychiatry novel strategies pandemic disease post-pandemic pre-pandemic predictive marker recruit repository retention rate social underage drinking young man young woman

项目摘要

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.

项目概要本补充要求提供资金，使国家统计局在前八年获得的纵向数据青少年酒精与神经发育联盟 (NCANDA) 研究可通过以下方式公开获取：国家心理健康研究所数据档案库 (NDA)。 2013年至2015年，NCANDA的5个站点招募了一个多元化的社区样本，其中大部分是从不饮酒到低度饮酒者（12 至 21 岁，N = 831）并进行跟踪从那时起（93% 的保留率）。监测涉及每年获得的多模式神经影像（MRI、DTI、静息态 fMRI）以及认知、临床和行为数据。而当前获取的数据资助周期（又名 NCANDA-A），即从 9 年起，上传到 NDA，没有预算资金将前 8 年的纵向数据存档至 NDA。补助金将提供这些资金，从而使用单一数据结构，让公众可以完全访问这一独特且有价值的纵向数据集缓解重度饮酒对 NCANDA 队列影响分析的关键一步。 NCANDA-A 有 4 个主要目标。关于目标 1，该联盟一直在调查以下因素的影响：青春期和成年初期过度饮酒对后续发育的影响认知表现、大脑结构和功能以及精神病理学的轨迹。对于目标 2，NCANDA 一直在识别描述酒精对大脑影响程度的神经发育模式酗酒后的戒断过程中，结构和功能得到缓解或持续存在。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）这预示着成年早期会过度饮酒。关于目标 4，NCANDA-A 一直在量化新冠病毒大流行对生活压力以及社会、情感和经济福祉的影响及其与饮酒模式的关系。对于每个目标，发展中的性别差异、饮酒模式和测试了病史、饮酒对大脑的影响以及性别差异心理社会因素。自研究开始以来，NCANDA 网站一直将其数据上传到 NCANDA 数据分析资源 (DAR)，其行政 PI 是 Pohl 博士。关于 NCANDA-A， DAR 按照五个目标管理数据。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已标准化。对于目标 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。和关于 Aim D3，他们正在增强宏观结构、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）学习框架来识别预测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对于财团 PI 和广大科学公众来说。从 NCANDA-A 开始，九年以后的数据将在 NDA 上共享。本补充文件的目的是让前 8 年的数据也可以通过 NDA 访问。

项目成果

期刊论文数量（11）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Alterations of Brain Signal Oscillations in Older Individuals with HIV Infection and Parkinson's Disease.

DOI：
10.1007/s11481-020-09914-x
发表时间：
2021-06
期刊：
Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology
影响因子：
0
作者：
Müller-Oehring EM;Hong JY;Hughes RL;Kwon D;Brontë-Stewart HM;Poston KL;Schulte T
通讯作者：
Schulte T

Data Augmentation Based on Substituting Regional MRIs Volume Scores.

基于替代区域 MRI 体积分数的数据增强。

DOI：
10.1007/978-3-030-33642-4_4
发表时间：
2019
期刊：
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, held in c...
影响因子：
0
作者：
Leng,Tuo;Zhao,Qingyu;Yang,Chao;Lu,Zhufu;Adeli,Ehsan;Pohl,KilianM
通讯作者：
Pohl,KilianM

Combining atlas-based parcellation of regional brain data acquired across scanners at 1.5 T and 3.0 T field strengths.

DOI：
10.1016/j.neuroimage.2012.01.092
发表时间：
2012-04-02
期刊：
NEUROIMAGE
影响因子：
5.7
作者：
Pfefferbaum, Adolf;Rohlfing, Torsten;Rosenbloom, Margaret J.;Sullivan, Edith V.
通讯作者：
Sullivan, Edith V.

Jacobian Mapping Reveals Converging Brain Substrates of Disruption and Repair in Response to Ethanol Exposure and Abstinence in 2 Strains of Rats.