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NCANDA: Data Analysis Resource

NCANDA: Data Analysis Resource
NCANDA:数据分析资源
批准号:
10678681
负责人:
Adolf Pfefferbaum
金额:
$110.3万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
未结题
起止时间:
2012-09-15 至 2027-06-30
关键词:
21 year oldAbstinenceAccelerationAdolescenceAdolescentAdultAdverse effectsAffectiveAgeAlcohol abuseAlcohol consumptionAlcoholsBehavioralBiologicalBrainCOVID-19 pandemicCOVID-19 pandemic effectsClinicalClinical assessmentsCognitionCognitiveCollectionCommunitiesComplementComputersDataData AnalysesData CollectionDevelopmentDistressDoseEconomicsEmotionalEmotionsEnsureEventFamilyFemaleFrequenciesFunctional Magnetic Resonance ImagingGoalsGrowthHealthHeavy DrinkingHomeIndependent LivingIndividualLifeLife StressLinkMachine LearningMagnetic Resonance ImagingMeasuresMediatingMissionModelingMonitorNeuropsychologyOutcomeOutcome MeasureParticipantPatternPersonal SatisfactionPersonsPhysical activityPositioning AttributeProceduresProcessProtocols documentationPsychopathologyPsychosocial FactorQuality ControlRecording of previous eventsRecoveryResourcesRestRiskSamplingSchoolsSex DifferencesSex DifferentiationSiteSleepStandardizationStressStructureSymptomsSystemTechnologyTestingWorkYouthadolescent binge drinkingalcohol cuealcohol effectalcohol expectancyalcohol use disorderalcohol use initiationbinge drinkingcareercognitive controlcognitive performancecohortcue reactivitydata integrationdata sharingdata standardsdesigndrinkingdrinking onsetearly onsetemerging adultemerging adulthoodexperienceexternalizing behaviorfollow-uphazardous drinkinginformatics infrastructureinformation processingmachine learning frameworkmalemedical specialtiesmobile applicationmultimodal neuroimagingneuralneurodevelopmentneuroimagingneuropsychiatrynovelnovel strategiespandemic diseasepost-pandemicpre-pandemicpredictive markerrecruitresponseretention ratesocialsuccessunderage drinkingyoung manyoung woman

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中文摘要
翻译
项目总结 已知在青春期开始过量饮酒会干扰典型的神经发育 模式,增加患酒精使用障碍(AUD)的风险,并加速衰老过程 成人期。针对RFA-AA-21-009,数据分析资源(DAR)建议支持下一个5 多年来对不同社区男性和女性参与者样本的数据收集和分析, 他们被招募到3个年龄段,年龄在12岁到21岁之间,大多是不喝酒到不喝酒的人,并跟踪调查了 过去8年在5个地点(N=831;保留率为93%)。每年都要进行监控-收购 多模式神经成像(MRI、DTI、静息状态fMRI、任务fMRI)以及认知、临床、行为和 生物数据,亲自收集或通过电脑和我们的移动应用程序远程收集。这些措施现在将是 辅以新的高级神经成像、睡眠和体力活动跟踪。这一群人 顺序设计独特地将NCANDA-A定位为量化与酒精相关的暂时性或持久性干扰 在特定的青春期和成年早期,神经系统的生长轨迹和功能伴随。 NCANDA-A提出了四个联合体范围的具体目标和两个专业项目目标。在目标1中,NCANDA-A 将调查青春期和成年初期过度饮酒对 认知表现、大脑结构和功能的后续发展轨迹,以及 精神变态学。目标2的分析将确定神经发育模式,描述 酒精对大脑结构和功能的影响在酗酒后的戒酒过程中会消失或持续。目标3 将部署数据驱动的分析来确定青少年的生物、环境和行为因素(例如, 开始饮酒的年龄),这预示着在成年早期过度饮酒。在目标4中,NCANDA-A将 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,并 它们与酒精使用模式的关系。对于每个目标,发育中的性别差异,酒精使用模式 还将测试病史、饮酒对大脑的影响以及性别差异的心理社会因素。 DAR的目标是支持基于五个目标的假设检验。目标1将确保程序 关于神经成像、神经心理学和临床评估数据的收集和质量控制,请参阅 标准化。在目标D2中,DAR将推进现有的信息基础设施,以整合数据 从所有站点收集的数据。AIM D3将增强宏观结构、微观结构和功能神经成像 处理和分析。在AIM D4中,DAR将创建机器(深度)学习框架,以识别 成年早期饮酒的预测指标。AIM D5将维护数据共享和分发系统 财团PIS和广大的科学公众。 随着在这次更新中收集到成年早期的纵向数据,NCANDA-A将提供新的 向公众提供有关青少年饮酒对成人机能的持久和短暂影响的信息。
英文摘要
PROJECT SUMMARY Excessive alcohol drinking Initiated during adolescence is known to disturb typical neurodevelopmental patterns, increase the risk of developing alcohol use disorder (AUD), and accelerate involutional processes in adulthood. In response to RFA-AA-21-009, the Data Analysis Resource (DAR) proposes to support the next 5 years' data collection and analysis across a diverse community sample of male and female participants that were recruited in 3 age bands between 12 and 21 years old, were mostly no-to-low drinkers, and tracked over the last 8 years across 5 sites (N=831; 93% retention rate). Monitoring has involved annually-acquired multimodal neuroimaging (MRI, DTI, resting state fMRI, task fMRI) and cognitive, clinical, behavioral, and biological data, collected in person or remotely by computer and our mobile app. These measures will now be complemented with new advanced neuroimaging and sleep and physical activity tracking. This cohort sequential design uniquely positions NCANDA-A to quantify transient or enduring alcohol-related disturbances in specific adolescent and early adult neural system growth trajectories and functional concomitants. NCANDA-A proposes four consortium-wide specific aims and two specialty project aims. In Aim 1, NCANDA-A will investigate the impact of excessive alcohol drinking during adolescence and emerging adulthood on subsequent developmental trajectories of cognitive performance, brain structure and function, and psychopathology. Aim 2 analyses will identify 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 will deploy data-driven analysis to identify adolescent biological, environmental, and behavioral factors (e.g., age of drinking onset) that forecast excessive drinking during early adulthood. In Aim 4, NCANDA-A will quantify 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 will be tested. The goal of the DAR is to support hypothesis testing based on five aims. Aim D1 will ensure that procedures for collection and quality control of neuroimaging, neuropsychological, and clinical assessment data are standardized. In Aim D2, the DAR will advance the existing informatics infrastructure for integrating data collected across all sites. Aim D3 will enhance macrostructural, microstructural, and functional neuroimage processing and analysis. In Aim D4, the DAR will create machine (deep) learning frameworks identifying predictive markers of early adulthood drinking. Aim D5 will maintain data sharing and distribution systems for consortium PIs and the scientific public at large. With the longitudinal data collected into early adulthood during this renewal, NCANDA-A will provide novel information to the public on the enduring and transient effects of adolescent drinking on adult functioning.
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Tracking HIV Infection and Alcohol Abuse CNS Comorbidity with Neuroimaging
  • 批准号:
    9532537
  • 项目类别:
  • 资助金额:
    $28.5万
  • 财政年份:
    2017
  • 负责人:
    Adolf Pfefferbaum
  • 依托单位:
N-CANDA: Data Analysis Component
  • 批准号:
    8413194
  • 项目类别:
  • 资助金额:
    $82.44万
  • 财政年份:
    2012
  • 负责人:
    Adolf Pfefferbaum
  • 依托单位:
NCANDA: DATA ANALYSIS RESOURCE
  • 批准号:
    10187466
  • 项目类别:
  • 资助金额:
    $102.54万
  • 财政年份:
    2012
  • 负责人:
    Adolf Pfefferbaum
  • 依托单位:
NCANDA: Data Analysis Resource - Uploading Legacy Data to NDA
  • 批准号:
    10852145
  • 项目类别:
  • 资助金额:
    $15.22万
  • 财政年份:
    2012
  • 负责人:
    Adolf Pfefferbaum
  • 依托单位:
海外基金