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. 2021 May 27;32(6):866–870. doi: 10.1177/09567976211003564

Fig. 1.

Fig. 1.

Existing, ongoing, or planned data sets including structural and functional neuroimaging data from approximately 500 or more children or adolescents. These data sets, which represent both prospective and retrospective samples, are the Adolescent Brain Cognitive Development study (ABCD; United States); Healthy Brain Network (HBN; United States); Lifespan Human Connectome Project Development (HCP-D; United States); National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA; United States); Pediatric Imaging, Neurocognition, and Genetics (PING; United States); Philadelphia Neurodevelopmental Cohort (PNC; United States); Saguenay Youth Study (SYS; Canada); High Risk Cohort Study for the Development of Childhood Psychiatric Disorders (HRC; Brazil); Autism Brain Imaging Data Exchange (ABIDE; United States, Germany, Ireland, Belgium, The Netherlands); Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA; worldwide); IMAGEN (England, Ireland, France, Germany); Youth of Utrecht (YOUth; part of the Consortium on Individual Development, or CID; The Netherlands); Generation R (Gen R) Study (The Netherlands); NeuroIMAGE (follow-up of the Dutch arm of the International Multi-Centre ADHD Genetics, or IMAGE, project; The Netherlands); Consortium on Vulnerability to Externalizing Disorders and Addictions (c-VEDA; United Kingdom, India); Consortium for Reliability and Reproducibility (CoRR; China, United States, Canada, Germany); ADHD-200 (United States, China); and HEALthy Brain and Child Development Study (HBCD; United States). Although samples are distributed across the globe, African, Middle Eastern, South Asian, Oceanian, and Central and South American populations are underrepresented. Data-collection efforts in these regions and others will be important for ensuring diverse, representative samples that will allow researchers to uncover general principles of the developing brain. (The map outline is courtesy of Wikimedia user Loadfile and is edited with permission from Rosenberg et al., 2018.)