Developmental changes in the reconfiguration of brain networks and their association with psychiatric traits during adolescence

青春期大脑网络重构的发育变化及其与精神特征的关联

• 批准号: 10346727
• 负责人: Gaelle Eve Doucet
• 金额: $ 29.29万
• 依托单位: FATHER FLANAGAN'S BOYS' HOME
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2027-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10346727
• 关键词: Adolescence; Adolescent; Adolescent Development; Adolescent and Young Adult; Adult; Age; Behavior; Behavior assessment; Behavioral; Brain; Brain Mapping; Childhood; Chronology; Cognition; Cognitive; Control Groups; Data; Data Analyses; Development; Diagnosis; Emotional; Exhibits; Family history of; Foundations; Functional Magnetic Resonance Imaging; Image; Incidence; Individual; Lead; Link; Literature; Magnetic Resonance Imaging; Measures; Mental Health; Mental disorders; Multivariate Analysis; Outcome; Participant; Phase Transition; Play; Protocols documentation; Psychopathology; Research Project Grants; Resolution; Rest; Risk; Role; Sampling; Structure; Testing; Work; adolescent brain development; age related; aged; base; behavior measurement; brain health; cognitive ability; cognitive task; cognitive testing; connectome; critical period; early adolescence; high risk; imaging study; improved; multimodality; network architecture; prisma; relating to nervous system; segregation; spatial integration; task analysis; trait; young adult

Project Summary/Abstract: Research Project (2) Developmental changes in the reconfiguration of brain networks and their association with psychiatric traits during adolescence Adolescence is typically defined as the transition from childhood to adulthood. It is a critical period for neural changes, including maturation of the brain’s major cognitive networks, but also a period of increased vulnerability to psychopathology. The incidence of psychiatric disorders increases exponentially from adolescence to adulthood, with 75% of cases being first diagnosed before the age of 24 years. It is therefore critical to understand the impact of adolescent development on brain network architecture and the alterations that may lead to the onset of mental illness. It is well accepted that the brain is functionally organized into multiple interacting networks. Extensive literature has also demonstrated that the brain connectome shows age-related alterations, with the largest changes happening during adolescence. While these findings have significantly advanced the field, the vast majority of the underlying studies have focused on a single cognitive state such as a specific cognitive task or a resting-state, with the assumption that the brain network definition remain unchanged across cognitive states. However, it is now clear that it is not the case, and that this dynamic brain reconfiguration plays a major role in both cognition and psychopathology. Thus, our currently incomplete view may limit our overall capacity to identify the impact of adolescent brain development on such dynamic network reconfiguration, as well as its association with cognitive ability and risk for developing mental disorders. Based on our prior studies and pilot analyses, we show that collecting functional magnetic resonance imaging (fMRI) data from both resting- state and several cognitive tasks will improve the characterization of the brain functional connectome and its links to psychopathology in adolescence. In this context, the aim of this application is to combine these imaging data with cognitive and behavioral information to provide an integrative framework that quantifies the dynamic reconfiguration of the brain connectome across cognitive states from adolescence to adulthood. To achieve this, we will use both resting-state and task-based fMRI from 160 typically-developing participants aged 12 to 25 years. We will identify developmental changes in both the spatial (Aim 1) and functional (Aim 2) reconfigurations of the major brain networks by cognitive states. Our third aim (Aim 3) will provide an integrative view of developmental changes in the brain’s dynamic networks and behavior by conducting robust multivariate analyses, which will test the degree to which brain network organization measures are associated with psychiatric traits during adolescence. We aim to demonstrate a progressive increase in network reconfiguration across states as a function of age and propose that such changes reflect better functioning and lower-risk for psychopathology. By mapping the brain connectome in this critical age window, this work has the potential to elucidate how developmental brain network alterations contribute to psychiatric traits and ultimately the risk of developing mental illness during the transition to adulthood.

项目摘要/摘要：研究项目 (2) 大脑网络重构的发育变化 它们与青春期精神特征的关联 青春期通常被定义为从童年到成年的过渡期，这是神经系统的关键时期。 变化，包括大脑主要认知网络的成熟，但也是脆弱性增加的时期 从青春期到精神病理学，精神疾病的发病率呈指数增长。 成年后，75% 的病例在 24 岁之前首次被诊断出来，因此了解这一点至关重要。 青少年发育对大脑网络结构的影响以及可能导致的改变 人们普遍认为，大脑在功能上被组织成多种相互作用的形式。 大量文献还表明，大脑连接组显示出与年龄相关的变化， 最大的变化发生在青春期，而这些发现显着推进了这一过程。 领域中，绝大多数基础研究都集中在单一认知状态，例如特定的 认知任务或静息状态，假设大脑网络定义在整个过程中保持不变 然而，现在很明显事实并非如此，这种动态的大脑重新配置发挥着作用。 因此，我们目前不完整的观点可能会限制我们的整体观点。 识别青少年大脑发育对这种动态网络重新配置的影响的能力，例如 根据我们之前的研究，它与认知能力和患精神疾病的风险有关。 和试点分析，我们表明从静息状态收集功能磁共振成像（fMRI）数据 状态和一些认知任务将改善大脑功能连接组及其特征的表征 在这种情况下，该应用程序的目的是将这些成像结合起来。 具有认知和行为信息的数据，以提供量化动态的综合框架 从青春期到成年的认知状态中大脑连接组的重新配置为了实现这一目标， 我们将使用来自 160 名 12 至 25 岁、发育正常的参与者的静息态和基于任务的功能磁共振成像 我们将确定空间（目标 1）和功能（目标 2）重构的发展变化。 我们的第三个目标（目标 3）将提供关于主要大脑网络的认知状态的综合视图。 通过进行稳健的多变量研究，大脑动态网络和行为的发展变化 分析，这将测试大脑网络组织测量与相关的程度 我们的目标是证明青春期期间网络重构的逐渐增加。 各州之间作为年龄的函数，并提出这种变化反映了更好的功能和更低的风险 通过绘制这个关键年龄窗口的大脑连接组，这项工作有可能实现精神病理学。 阐明发育性大脑网络改变如何影响精神特征以及最终的风险 在向成年过渡期间患上精神疾病。