Reproducible Brain Charts An Open Data Resourcefor Mapping Brain Developmentand Its Associations With Mental Health Golia Shafiei Nathalia B Esper Mauricio S Hoffmann Lei Ai Andrew A Chen Jon Cluce Sydney Covitz Steven Giavasis Connor Lane Kahini Mehta Tyler M Moore Taylor Salo Tinashe M Tapera Monica E Calkins Stanley Colcombe by Golia Shafiei & Nathalia B. Esper & Mauricio S. Hoffmann & Lei Ai & Andrew A. Chen & Jon Cluce & Sydney Covitz & Steven Giavasis & Connor Lane & Kahini Mehta & Tyler M. Moore & Taylor Salo & Tinashe M. Tapera & Monica E. Calkins & Stanley Colcombe &... instant download after payment.

Mental disorders are increasingly understood as disorders of brain development. Large and heterogeneoussamples are required to define generalizable links between brain development and psychopathology. To thisend, we introduce Reproducible Brain Charts (RBC), an open resource that integrates data from 5 largestudies of brain development in youth from three continents (N = 6,346). Bifactor models were used to createharmonized psychiatric phenotypes, capturing major dimensions of psychopathology. Following rigorousquality assurance, neuroimaging data were carefully curated and processed using consistent pipelines ina reproducible manner. Initial analyses of RBC emphasize the benefit of careful quality assurance anddata harmonization in delineating developmental effects and associations with psychopathology. Critically,all RBC data—including harmonized psychiatric phenotypes, unprocessed images, and fully processed imaging derivatives—are openly shared without a data use agreement via the International Neuroimaging Datasharing Initiative. Together, RBC facilitates large-scale, reproducible, and generalizable research in developmental and psychiatric neuroscience.