NeuroImage (Oct 2021)
Meaningful associations in the adolescent brain cognitive development study
- Anthony Steven Dick,
- Daniel A. Lopez,
- Ashley L. Watts,
- Steven Heeringa,
- Chase Reuter,
- Hauke Bartsch,
- Chun Chieh Fan,
- David N. Kennedy,
- Clare Palmer,
- Andrew Marshall,
- Frank Haist,
- Samuel Hawes,
- Thomas E. Nichols,
- Deanna M. Barch,
- Terry L. Jernigan,
- Hugh Garavan,
- Steven Grant,
- Vani Pariyadath,
- Elizabeth Hoffman,
- Michael Neale,
- Elizabeth A. Stuart,
- Martin P. Paulus,
- Kenneth J. Sher,
- Wesley K. Thompson
Affiliations
- Anthony Steven Dick
- Department of Psychology and Center for Children and Families, Florida International University, Miami, FL, United States
- Daniel A. Lopez
- Division of Epidemiology, Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY 14642, United States
- Ashley L. Watts
- Department of Psychology, University of Missouri, MO, United States
- Steven Heeringa
- Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, United States
- Chase Reuter
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA 92093, United States
- Hauke Bartsch
- Mohn Medical Imaging and Visualization Center, Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Chun Chieh Fan
- Population Neuroscience and Genetics Lab, University of California, San Diego, La Jolla, CA 92093, United States
- David N. Kennedy
- Department of Psychiatry, University of Massachusetts Medical School, MA United States, 01604
- Clare Palmer
- Center for Human Development, University of California, San Diego, La Jolla, CA 92093, United States
- Andrew Marshall
- Children's Hospital Los Angeles, and the Department of Pediatrics, University of Southern California, Los Angeles, CA, United States
- Frank Haist
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, United States
- Samuel Hawes
- Department of Psychology and Center for Children and Families, Florida International University, Miami, FL, United States
- Thomas E. Nichols
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Deanna M. Barch
- Departments of Psychological & Brain Sciences, Psychiatry and Radiology, Washington University, St. Louis, MO 63130, United States
- Terry L. Jernigan
- Department of Psychiatry, University of Massachusetts Medical School, MA United States, 01604
- Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, 05405, United States
- Steven Grant
- Behavioral and Cognitive Neuroscience Branch, Division of Neuroscience and Behavior, National Institute on Drug Abuse, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States
- Vani Pariyadath
- Behavioral and Cognitive Neuroscience Branch, Division of Neuroscience and Behavior, National Institute on Drug Abuse, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States
- Elizabeth Hoffman
- National Institute on Drug Abuse, National Institutes of Health, Department of Heatlh and Human Services, Bethesda, MD, United States
- Michael Neale
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23298, United States
- Elizabeth A. Stuart
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
- Martin P. Paulus
- Laureate Institute for Brain Research, Tulsa, OK, United States
- Kenneth J. Sher
- Department of Psychology, University of Missouri, MO, United States
- Wesley K. Thompson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA 92093, United States; Population Neuroscience and Genetics Lab, University of California, San Diego, La Jolla, CA 92093, United States; Corresponding author.
- Journal volume & issue
-
Vol. 239
p. 118262
Abstract
The Adolescent Brain Cognitive Development (ABCD) Study is the largest single-cohort prospective longitudinal study of neurodevelopment and children's health in the United States. A cohort of n = 11,880 children aged 9–10 years (and their parents/guardians) were recruited across 22 sites and are being followed with in-person visits on an annual basis for at least 10 years. The study approximates the US population on several key sociodemographic variables, including sex, race, ethnicity, household income, and parental education. Data collected include assessments of health, mental health, substance use, culture and environment and neurocognition, as well as geocoded exposures, structural and functional magnetic resonance imaging (MRI), and whole-genome genotyping. Here, we describe the ABCD Study aims and design, as well as issues surrounding estimation of meaningful associations using its data, including population inferences, hypothesis testing, power and precision, control of covariates, interpretation of associations, and recommended best practices for reproducible research, analytical procedures and reporting of results.
