Reproducible imaging-based brain growth charts for psychiatry

用于精神病学的可重复的基于成像的大脑生长图

• 批准号: 10626901
• 负责人: Michael Peter Milham
• 金额: $ 65.56万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-22 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10626901
• 关键词: Acceleration; Address; Adolescence; Age; Bayesian Method; Brain; Brain Diseases; Childhood; Clinical; Clinical Data; Code; Communities; Data; Data Aggregation; Data Analytics; Data Collection; Data Pooling; Data Set; Detection; Development; Diagnosis; Dimensions; Disease; Early Intervention; Failure; Fright; Functional Imaging; Grain; Growth; Heterogeneity; Human; Image; Informatics; International; Life; Link; Machine Learning; Maps; Measurement; Measures; Mental disorders; Modeling; Multimodal Imaging; National Institute of Mental Health; Neurosciences; Outcome; Participant; Phenotype; Process; Properdin; Protocols documentation; Psychiatry; Psychopathology; Public Health; Recording of previous events; Reproducibility; Research; Resources; Rest; Sampling; Scanning; Sex Differences; Site; Societies; Symptoms; Techniques; Training; Validation; Variant; Youth; anxious; brain abnormalities; brain based; clinical phenotype; computing resources; cost; data archive; data harmonization; data integration; data resource; design; disability; externalizing behavior; image processing; imaging study; indexing; insight; instrument; machine learning method; multidimensional data; multimodal neuroimaging; neuroimaging; novel; portability; quality assurance; response; segregation; serial imaging; sex; somatosensory; structural imaging; synergism; theories; young adult

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.

抽象的 人们越来越多地将主要精神疾病理解为大脑发育障碍，这导致 将多模式神经影像学与临床表型分析结合在一起的大规模青少年研究。 数据强调了大脑发育客观“生长图”的前景。 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 在这个提案中，我们将克服协议、信息学的挑战和数据集成的困难。 通过利用多元协调和分析技术的进步来克服这些障碍 为此，我们将汇总并协调八个人类大脑发育的可重复生长图表。 现有的大规模发育成像研究，包括超过 10,000 名 5 岁至 24（目标 1）我们将使用这些统一的数据来构建正常网络大脑的通用指数。 最后，特定大脑网络内的发育异常将与此相关。 重要的是，所有代码、数据和派生指数都将公开共享， 创建大量新资源以加速发育神经科学界的研究（目标 4）总而言之，该提案将提供新的数据资源，产生可重复的大脑生长图表。 发展，并描绘有关精神病理学发展基础的新机制 青年。

项目成果

Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.

• DOI: 10.1371/journal.pcbi.1009279
• 发表时间: 2021-09
• 期刊: PLoS computational biology
• 影响因子: 4.3
• 作者: Bridgeford EW;Wang S;Wang Z;Xu T;Craddock C;Dey J;Kiar G;Gray-Roncal W;Colantuoni C;Douville C;Noble S;Priebe CE;Caffo B;Milham M;Zuo XN;Consortium for Reliability and Reproducibility;Vogelstein JT
• 通讯作者: Vogelstein JT

Screen time and psychopathology: investigating directionality using cross-lagged panel models.

• DOI: 10.1007/s00787-020-01675-5
• 发表时间: 2022-04
• 期刊: European child & adolescent psychiatry
• 影响因子: 6.4
• 作者: Bado P;Schafer J;Simioni AR;Bressan RA;Gadelha A;Pan PM;Miguel EC;Rohde LA;Salum GA
• 通讯作者: Salum GA

Parent- and teacher-reported associations from adolescent bifactor models of psychopathology: an outcome-wide association study of 26 outcomes in mid-life.

家长和老师报告的青少年精神病理学双因素模型中的关联：对中年 26 种结果的全结果关联研究。

• DOI: 10.1111/jcpp.13707
• 发表时间: 2023
• 期刊: Journal of child psychology and psychiatry, and allied disciplines
• 作者: Hoffmann,MauricioScopel;Evans-Lacko,Sara;Collishaw,Stephan;Knapp,Martin;Pickles,Andrew;Shearer,Christina;Maughan,Barbara
• 通讯作者: Maughan,Barbara

Comparing mental health semi-structured diagnostic interviews and symptom checklists to predict poor life outcomes: an 8-year cohort study from childhood to young adulthood in Brazil.

• DOI: 10.1016/s2214-109x(23)00462-x
• 发表时间: 2024-01
• 期刊: LANCET GLOBAL HEALTH
• 影响因子: 34.3
• 作者: Hoffmann, Mauricio Scopel;Pine, Daniel S.;Georgiades, Katholiki;Szatmari, Peter;Miguel, Euripedes Constantino;Pan, Pedro Mario;Gadelha, Ary;Rohde, Luis Augusto;Merikangas, Kathleen Ries;Milham, Michael Peter;Satterthwaite, Theodore Daniel;Salum, Giovanni Abrahao
• 通讯作者: Salum, Giovanni Abrahao

Replication of a predictive model for youth ADHD in an independent sample from a developing country.

在发展中国家的独立样本中复制青少年多动症的预测模型。

• DOI: 10.1111/jcpp.13682
• 发表时间: 2023
• 期刊: Journal of child psychology and psychiatry, and allied disciplines
• 作者: Lorenzi,CezarH;TeixeiraLeffa,Douglas;Bressan,Rodrigo;Belangero,Sintia;Gadelha,Ary;Santoro,MarcosL;Salum,GiovanniA;Rohde,LuisAugusto;Caye,Arthur
• 通讯作者: Caye,Arthur