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Principal Investigator: Adolf Pfefferbaum
Organization: STANFORD UNIVERSITY
Fiscal Year: 2024
Award: $149,813
Funding agency: National Institute on Alcohol Abuse and Alcoholism
PROJECT SUMMARY
In response to PA-20-272, this supplement requests funds to upgrade the computer infrastructure of the
Scalable Informatics for Biomedical Imaging Studies (SIBIS). SIBIS has been daily used by National
Consortium on Alcohol and Neurodevelopment in Adolescence to Adulthood (NCANDA-A) since it started
recruiting its 831 participants in 2013. NCANDA-A annually acquires data on these participants (age 12 to 21
years at baseline) across 5 sites. Each site uses SIBIS web applications for data acquisition (e.g., self-reported
questionnaires) or upload (e.g. MRI, DTI, resting state fMRI). The data are then managed, quality controlled,
harmonized, analyzed, and distributed by the NCANDA-A Data Analysis Resource (DAR) via SIBIS.
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-
A identifies 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.
The DAR, whose mPIs are Drs. Pohl and Pfefferbaum, 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. Aim D3 targets 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.
The DAR has been supporting these aims in part with a computer infrastructure that was purchased over 10
years ago. Within the next 12 months, this hardware will be insufficient for preserving the high level of security
and fulfill the computational and storage needs of NCANDA. The DAR therefore requests funding for upgrading
the computer infrastructure of SIBIS (Aim S1). Continuing the stable management of data will be central for
NCANDA to continue with thoroughly tracking its participants, whose longitudinal data are critical for tracking
the impact of heavy alcohol drinking on brain development during adolescence and adulthood.
Terms: <10 year old><10 years of age><12-20 years old><21+ years old><Abstinence><Active Follow-up><Administrative Supplement><Adolescence><Adolescent><Adolescent Youth><Adult><Adult Human><Adverse effects><Affective><Age><Alcohol Chemical Class><Alcohol Drinking><Alcohol consumption><Alcohols><Behavioral><Biological><Brain><Brain Nervous System><COVID-19 affected><COVID-19 consequence><COVID-19 effect><COVID-19 impact><COVID-19 impacted><COVID-19 pandemic affected><COVID-19 pandemic consequence><COVID-19 pandemic effects><COVID-19 pandemic impact><COVID-19 pandemic impacted><Clinical><Clinical assessments><Cognition><Cognitive><Collection><Communities><Computer Systems><Computer software><Computers><Data><Data Analyses><Data Analysis><Development><Differences between sexes><Differs between sexes><Distress><Dose><Economics><Emotional><Emotions><Encephalon><Ensure><EtOH drinking><EtOH use><Event><Family><Female><Frequencies><Functional MRI><Functional Magnetic Resonance Imaging><Funding><Goals><Health><Heavy Drinking><History><Independent Living><Individual><Infrastructure><Life><Life Stress><Link><MR Imaging><MR Tomography><MRI><MRIs><Machine Learning><Magnetic Resonance Imaging><Measures><Mediating><Medical Imaging, Magnetic Resonance / Nuclear Magnetic Resonance><Mission><Modeling><Monitor><NMR Imaging><NMR Tomography><Neural Development><Neuropsychologies><Neuropsychology><Nuclear Magnetic Resonance Imaging><Outcome><Outcome Measure><Participant><Patient Self-Report><Pattern><Personal Satisfaction><Persons><Phase><Physical activity><Procedures><Process><Protocol><Protocols documentation><Psychopathology><Psychosocial Factor><Quality Control><Questionnaires><Recording of previous events><Recovery><Research Resources><Resources><Rest><Sampling><Security><Self-Report><Sex Differences><Sex Differentiation><Sexual differences><Site><Sleep><Software><Spinal Column><Spine><Standardization><Stress><Structure><Symptoms><System><Technology><Testing><Vertebral column><Youth><Youth 10-21><Youth Drinking><Zeugmatography><abnormal psychology><active followup><adolescence (12-20)><adolescent alcohol binge exposure><adolescent alcohol co-use><adolescent alcohol consumption><adolescent alcohol drinking><adolescent alcohol intake><adolescent alcohol use><adolescent binge alcohol drinking><adolescent binge drinking><adolescent drinking><adolescent onset binge drinking><adulthood><age 10 years><ages><alcohol cue><alcohol during adolescence><alcohol effect><alcohol expectancy><alcohol ingestion><alcohol initiation><alcohol intake><alcohol intake among adolescents><alcohol product use><alcohol related cue><alcohol use><alcohol use among adolescents><alcohol use during adolescence><alcohol use in adolescence><alcohol use in adolescents><alcohol use initiation><alcoholic beverage consumption><alcoholic drink intake><backbone><binge alcohol consumption><binge drinking><biologic><biomed informatics><biomedical informatics><career><cognitive control><cognitive performance><cohort><computational infrastructure><computer infrastructure><computing system><coronavirus disease 2019 consequence><coronavirus disease 2019 effect><coronavirus disease 2019 impact><coronavirus disease 2019 pandemic consequence><coronavirus disease 2019 pandemic impact><coronavirus disease-19 impact><cue reactivity><data acquisition><data acquisitions><data integration><data interpretation><data management><data sharing><data standardization><data standards><design><designing><developmental><drink heavily><drinking><drinking during adolescence><drinking in adolescent><drinking initiation><drinking onset><early adulthood><early onset><economic><effects following the COVID-19 pandemic><emerging adult><emerging adulthood><episodic drinking><ethanol consumption><ethanol cue><ethanol drinking><ethanol during adolescence><ethanol effect><ethanol ingestion><ethanol intake><ethanol product use><ethanol use><excessive alcohol consumption><excessive alcohol ingestion><excessive alcohol intake><excessive drinking><excessive ethanol ingestion><experience><externalizing behavior><extreme drinking><fMRI><follow up><follow-up><followed up><followup><hazardous drinking><heavy alcohol use><high standard><histories><imaging study><impact of the SARS-CoV-2 pandemic><informatics infrastructure><information processing><juvenile><juvenile human><machine based learning><machine learning based framework><machine learning framework><male><measurable outcome><multi-modal neuro-imaging><multi-modal neuroimaging><multimodal neuro-imaging><multimodal neuroimaging><neural imaging><neuro-imaging><neurodevelopment><neuroimaging><neurological imaging><neuropsychiatric><neuropsychiatry><neuropsychologic><new approaches><novel approaches><novel strategies><novel strategy><online app><outcome measurement><pandemic><pandemic disease><post-pandemic><pre-pandemic><predictive biomarkers><predictive marker><predictive molecular biomarker><preservation><prospective><psychosocial variables><recruit><response><sex based differences><sex-dependent differences><sex-differentiation><sex-related differences><sex-specific differences><sexual differentiation><social><teen drinking><teenage alcohol use><teenage drinking><teenager alcohol use><ten year old><ten years of age><under age alcohol consumption><under age alcohol use><underage alcohol consumption><underage alcohol use><underage drinking><web app><web application><web based app><web based application><well-being><wellbeing><young man><young woman><youth alcohol co-use><youth alcohol consumption><youth alcohol use>