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） 大脑网络重新配置的发展变化 他们与青少年期间的精神特征的联系 青少年通常被定义为从童年到成年的过渡。这是神经元的关键时期 变化，包括大脑主要的认知网络的成熟，以及脆弱性增加的时期 进行心理病理学。精神疾病的发生率从青少年到成倍增加 成年，有75％的病例在24岁之前首次被诊断出。因此，了解 青少年发展对大脑网络架构的影响以及可能导致的变化 精神疾病的发作。很高兴地，大脑在功能上组织成多个相互作用 网络。广泛的文献还表明，大脑连接组显示与年龄相关的变化， 青少年期间发生的最大变化。尽管这些发现显着提高了 领域，绝大多数基础研究都集中在单一认知状态上，例如特定的 认知任务或静止状态，假设大脑网络定义保持不变 认知状态。但是，现在很明显，事实并非如此，而这种动态的大脑重新配置发挥了作用 在认知和心理病理学中的主要作用。那，我们目前不完整的看法可能会限制我们的整体 确定青少年大脑发展对这种动态网络重新配置的影响的能力，如 以及它与认知能力和发展精神障碍的风险的关联。基于我们先前的研究 和试点分析，我们表明，从两个静止 - 状态和几个认知任务将改善大脑功能连接及其的表征 与青少年心理病理学的链接。在这种情况下，该应用的目的是结合这些成像 带有认知和行为信息的数据，提供一个综合框架来量化动态 从青春期到成年的认知状态跨认知状态的大脑连接组的重新配置。为此， 我们将使用160名通常开发的12至25岁的参与者使用静止状态和基于任务的fMRI 年。我们将确定空间（AIM 1）和功能（AIM 2）重新配置的发展变化 认知状态的主要大脑网络。我们的第三个目标（AIM 3）将提供综合的观点 通过进行鲁棒的多变量，大脑动态网络和行为的发展变化 分析将测试大脑网络组织与 青少年期间的精神病特征。我们旨在证明网络重新配置的逐步增加 整个州的函数是年龄和建议的关系，即这种变化反映了更好的功能和低风险 心理病理学。通过在此关键时代窗口中映射大脑连接组，这项工作有可能 阐明开发人员脑网络改变如何促进精神病特征，并最终有风险 在过渡到成年期间患精神疾病。