Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health

心理健康 资源(消歧) 大脑发育 心理学 数据科学 计算机科学 精神科 神经科学 计算机网络
作者
Golia Shafiei,Nathália Bianchini Esper,Max Hoffmann,Lei Ai,Ang Chen,Jon Cluce,Sydney Covitz,Steven Giavasis,C. Lane,Kapil Mehta,TM Moore,Tuula Salo,TM Tapera,Monica E. Calkins,Stan Colcombe,Christos Davatzikos,RE Gur,RC Gur,P. M. Pan,Andrea Parolin Jackowski
出处
期刊: [Cold Spring Harbor Laboratory]
被引量:3
标识
DOI:10.1101/2025.02.24.639850
摘要

ABSTRACT Major mental disorders are increasingly understood as disorders of brain development. Large and heterogeneous samples are required to define generalizable links between brain development and psychopathology. To this end, we introduce the Reproducible Brain Charts (RBC), an open data resource that integrates data from 5 large studies of brain development in youth from three continents ( N =6,346; 45% Female). Confirmatory bifactor models were used to create harmonized psychiatric phenotypes that capture major dimensions of psychopathology. Following rigorous quality assurance, neuroimaging data were carefully curated and processed using consistent pipelines in a reproducible manner with DataLad, the Configurable Pipeline for the Analysis of Connectomes (C-PAC), and FreeSurfer. Initial analyses of RBC data emphasize the benefit of careful quality assurance and data 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 Data-sharing Initiative. Together, RBC facilitates large-scale, reproducible, and generalizable research in developmental and psychiatric neuroscience.
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