Modeling Developmental Change in the ABCD Study: Longitudinal Analyses for Clinical Outcomes

项目摘要/摘要 摘要：该项目将资助一个为期五天的沉浸式研讨会，为初中生和高年级学生做好准备 研究人员都在利用ABCD数据进行大脑发育的纵向研究 与心理健康的关系。研讨会的重点将是培训研究人员关于可再生的 神经成像方法、纵向建模方法和临床心理健康结果 理论与应用并重。研讨会将由教学、教程、 圆桌会议、分组会议和开放黑客组件。研讨会与会者将立即 将他们在研讨会中学到的应用到小组项目(“开放黑客”)中，重点是 应用纵向方法将大脑发育与心理健康措施联系起来 Xian jie数据集。这次研讨会的主要成果将是研究人员带着以下问题的答案离开 关于纵向ABCD数据分析的问题，加深了对理论的理解 高维数据的建模方法和分析考虑的背后。这将是 包括关于适用于临床结果健全方法学的培训，以及促进 计算和临床研究人员之间跨职业阶段的协作。另一个 该讲习班的主要目的是为国家努力使训练有素的人才多样化作出贡献。 通过取消参与招募不同的参与者来招募生物医学研究人员 与社会不平等有关的障碍，包括经济负担、育儿或残疾，以及 在研讨会期间创造一个安全和友好的环境。这样做的直接目标是 研讨会旨在让与会者获得以下能力：a)分析和分析知识 针对大规模、开放、纵向数据集的统计考虑；b)如何进行 可重复研究，重点是对神经成像数据进行二次分析；c)了解 纵向建模背后的理论以及使用开源软件应用这些模型的能力； D)设计和执行具有临床意义结果的调查；e)确定社会和 影响精神病理学发展的环境因素；以及f)与 来自不同背景的研究人员，并建立跨学科团队。的传播目标 拟议的研讨会包括成立工作组发表论文并在 会议，以及在研讨会期间开发的所有代码或分析技术 可在更广泛的研究社区的在线存储库中使用。这是一个长期目标 研讨会的目的是在研究人员之间形成可持续的跨学科网络， 临床和计算背景，因为这些领域的专业知识都是推动我们的 对心理健康发展的理解。

Project Summary/Abstract Abstract: This project will fund a five-day immersive workshop that will prepare junior and senior researchers alike to utilize the ABCD data for longitudinal investigations of brain development in relation to mental health. The workshop will focus on training researchers on reproducible neuroimaging methods, longitudinal modeling approaches, and clinical mental health outcomes, with equal emphasis on theory and application. The workshop will be composed of instructional, tutorial, roundtable, break-out session, and open hacking components. Workshop attendees will immediately apply what they learn during the workshop through group projects (“open hacking”) focused on applying longitudinal approaches to relate brain development to mental health measures in the ABCD dataset. The main outcome of this workshop will be that researchers leave with answers to questions about analyzing the longitudinal ABCD data, with a deeper understanding of the theory behind modeling approaches as well as analytic considerations for highly dimensional data. This will include training on robust methodology appropriate for clinical outcomes, as well as fostering collaboration between computational and clinical researchers across career stages. Another principal aim of this workshop is to contribute to national efforts to diversify the pool of highly trained biomedical researchers by recruiting a diverse group of attendees by eliminating participation barriers associated with social inequality, including financial burden, parenting, or disability, and by creating a safe and welcoming environment during the workshop. The immediate goal of this workshop is for attendees to acquire the following competencies: a) knowledge of analytical and statistical considerations specific to large-scale, open, longitudinal datasets; b) how to conduct reproducible research, with emphasis on secondary analysis of neuroimaging data; c) knowledge of theory behind longitudinal modeling and ability to apply these models using open-source software; d) design and execute investigations with clinically meaningful outcomes; e) identify social and environmental factors that impact the development of psychopathology; and f) communicate with researchers from diverse backgrounds and build interdisciplinary teams. The dissemination goals of the proposed workshop include forming working groups to publish papers and present at conferences, as well as making all code or analytic techniques developed during the workshop available in online repositories for the broader research community. A long-term goal of this workshop is to form sustainable interdisciplinary networks between researchers from development, clinical, and computational backgrounds as these areas of expertise are all needed to advance our understanding of the development of mental health.