Reproducible imaging-based brain growth charts for psychiatry

摘要 主要精神疾病越来越多地被理解为大脑发育障碍，这导致了 将多模式神经成像与临床表型相结合的大规模青年研究。在一起，这样的 数据强调了客观的大脑发育“生长图表”的前景。然而，协同效应 由于使用不同的临床仪器、不同的扫描，跨主要努力仍未实现 协议、信息学方面的挑战以及数据集成方面的困难。在这项提议中，我们将克服 这些障碍通过利用多变量协调和分析技术的进步来建立高度 人脑发育的可重复生长曲线图。为了做到这一点，我们将汇总和协调八个 现有的大型发育成像研究，包括10,000多名参与者，年龄在5- 24(目标1)。我们将使用这些协调的数据来构建正常网络大脑的泛化指数 发展(目标2)。最后，特定大脑网络内的发育异常将与 精神病理学的维度(目标3)。关键是，所有代码、数据和派生索引都将公开共享， 创建大量新资源以加速发展神经科学界(AIM)的研究 4)。总之，这项提议将提供一种新数据来源，产生可重现的大脑发育图 发展，并描绘了关于精神病理学发展基础的新机制 青春年华。

ABSTRACT Major psychiatric illnesses are increasingly understood as disorders of brain development, which has led to large-scale studies of youth that combine multi-modal neuroimaging with clinical phenotyping. Together, such data have emphasized the promise of objective ‘growth charts’ of brain development. However, synergies across major efforts remains unrealized due to use of different clinical instruments, different scanning protocols, challenges in informatics, and difficulties in data integration. In this proposal, we will overcome these obstacles by leveraging advances in multivariate harmonization and analysis techniques to build highly reproducible growth charts of human brain development. To do this, we will aggregate and harmonize eight existing large-scale developmental imaging studies, comprising over 10,000 participants between the age of 5- 24 (Aim 1). We will use this harmonized data to build generalizable indices of normal network brain development (Aim 2). Finally, developmental abnormalities within specific brain networks will be linked to dimensions of psychopathology (Aim 3). Critically, all code, data, and derived indices will be shared publicly, creating a massive new resource to accelerate research in the developmental neuroscience community (Aim 4). In sum, this proposal will have provide a new data resource, yield reproducible growth charts of brain development, and delineate novel mechanisms regarding the developmental basis of psychopathology in youth.