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

IF 15 1区医学 Q1 NEUROSCIENCES

Neuron Pub Date : 2025-09-22 DOI:10.1016/j.neuron.2025.08.026

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, Christos Davatzikos, Raquel E Gur, Ruben C Gur, Pedro M Pan, Andrea P Jackowski, Ariel Rokem, Luis A Rohde, Russell T Shinohara, Nim Tottenham, Xi-Nian Zuo, Matthew Cieslak, Alexandre R Franco, Gregory Kiar, Giovanni A Salum, Michael P Milham, Theodore D Satterthwaite

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引用次数: 0

Abstract

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 Reproducible Brain Charts (RBC), an open resource that integrates data from 5 large studies of brain development in youth from three continents (N = 6,346). Bifactor models were used to create harmonized psychiatric phenotypes, capturing major dimensions of psychopathology. Following rigorous quality assurance, neuroimaging data were carefully curated and processed using consistent pipelines in a reproducible manner. Initial analyses of RBC 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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可复制脑图：一个用于绘制大脑发育及其与心理健康关系的开放数据资源。

精神障碍越来越被理解为大脑发育障碍。为了确定大脑发育和精神病理之间的普遍联系，需要大量和不同种类的样本。为此，我们引入了可重复脑图（RBC），这是一个开放资源，整合了来自三大洲（N = 6,346）的5项大型青少年大脑发育研究的数据。双因素模型用于创建统一的精神病学表型，捕捉精神病理学的主要维度。在严格的质量保证下，神经成像数据被仔细整理，并使用一致的管道以可重复的方式进行处理。RBC的初步分析强调在描述发育影响和与精神病理的关联时，仔细的质量保证和数据协调的好处。至关重要的是，所有RBC数据——包括统一的精神病学表型、未处理的图像和完全处理的成像衍生品——都是通过国际神经成像数据共享倡议（International Neuroimaging data sharing Initiative）公开共享的，无需数据使用协议。总之，RBC促进了发育和精神神经科学的大规模、可重复和可推广的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neuron 医学-神经科学

CiteScore

24.50

自引率

3.10%

发文量

382

审稿时长

1 months

期刊介绍： Established as a highly influential journal in neuroscience, Neuron is widely relied upon in the field. The editors adopt interdisciplinary strategies, integrating biophysical, cellular, developmental, and molecular approaches alongside a systems approach to sensory, motor, and higher-order cognitive functions. Serving as a premier intellectual forum, Neuron holds a prominent position in the entire neuroscience community.