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.

项目摘要这种补充要求资金使国家在头八年中获取纵向数据青春期酒精和神经发育联盟（NCANDA）通过国家心理健康研究所档案库（NDA）。从2013年到2015年，Ncanda的5个地点招募了大多数无饮酒者（12至21岁，n = 831）的各种社区样本，并进行了跟踪从那时起（保留率为93％）。监测涉及每年获得的多模式神经影像学（MRI，DTI，静止状态fMRI）以及认知，临床和行为数据。而当前获取的数据资金周期（又称NCANDA-A），即从9年开始，上传到NDA，没有预算的资金将最初8年的纵向数据归档给NDA。补充剂将提供这些资金，从而使用单个数据结构，A详细访问此独特而有价值的纵向数据集放松大量饮酒对Ncanda队列的影响的关键步骤。 Ncanda-A有4个主要目标。关于AIM 1，该财团一直在研究在青春期和新兴成年期间过量饮酒认知表现，大脑结构和功能以及心理病理学的轨迹。对于AIM 2，NCANDA 一直在识别神经发育模式，描述了酒精对大脑的影响的程度暴饮暴食后的结构和功能在避免期间解决或持续。 AIM 3专注于数据驱动分析以识别青少年生物学，环境和行为因素（例如，饮酒年龄）预测成年初期的饮酒过量。关于目标4，ncanda-a一直在量化共同大流行对生活压力，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，开发性的性别差异，饮酒方式和测试了历史，饮酒对大脑的影响以及分配性的社会心理因素。自从研究开始以来，NCANDA站点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以五个目标管理数据。 AIM 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AIM D2，DAR 一直在推进现有的信息学基础架构，以集成在所有站点中收集的数据。和尊重AIM D3，它们正在增强宏观结构，微结构和功能性神经图像处理和分析。关于AIM D4，DAR创建机器（深）学习框架识别预测成年早期饮酒的标记。最后，对于AIM D5，他们维护数据共享和分销系统用于财团和整个科学公众。从NCANDA-A开始，从九年开始的数据开始将在NDA上共享。该补充剂的目的也是通过NDA访问的前8年数据。

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.