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: 10580786
• 负责人: Gaelle Eve Doucet
• 金额: $ 30.73万
• 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/10580786
• 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; Development; Diagnosis; Emotional; Exhibits; Family history of; Foundations; Functional Magnetic Resonance Imaging; Image; Incidence; Individual; Link; Literature; Magnetic Resonance Imaging; Maps; 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; behavior measurement; brain health; cognitive ability; cognitive task; cognitive testing; connectome; critical period; early adolescence; high risk; imaging study; improved; multimodality; network architecture; neural; prisma; segregation; spatial integration; 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) 脑网络和脑功能重构的发育变化 它们与青春期精神疾病特征的关系 青春期通常被定义为从童年到成年的过渡。这是神经发育的关键时期。 变化，包括大脑主要认知网络的成熟，但也有一段时间的脆弱性增加 精神变态。精神障碍的发病率从青春期到 成人期，75%的病例在24岁之前首次确诊。因此，理解这一点至关重要 青少年发育对脑网络结构的影响及其可能导致的改变 精神疾病的发作。众所周知，大脑是在功能上被组织成多个相互作用的 网络。大量文献还表明，大脑连接体显示出与年龄相关的变化， 最大的变化发生在青春期。虽然这些发现大大推进了 领域，绝大多数的基础研究都集中在单一的认知状态，如特定的 认知任务或休息状态，假设大脑网络定义不变 认知状态。然而，现在很明显，情况并非如此，这种动态的大脑重新配置发挥了作用 在认知学和精神病理学中都扮演着重要的角色。因此，我们目前不完整的观点可能会限制我们的整体 识别青少年大脑发育对动态网络重新配置的影响的能力，例如 以及它与认知能力和患精神障碍的风险之间的关系。基于我们之前的研究 和试点分析，我们表明，收集功能磁共振成像(FMRI)数据从休息- 状态和几个认知任务将改善大脑功能连接体的特征及其 与青春期的精神病理学有关。在此上下文中，该应用程序目的是组合这些成像 具有认知和行为信息的数据，以提供量化动态的综合框架 从青春期到成年期的认知状态下大脑连接体的重新配置。为了实现这一目标， 我们将同时使用静息状态和基于任务的功能磁共振成像，来自160名12至25岁的典型发育受试者 好几年了。我们将确定空间(目标1)和功能(目标2)重构的发展变化 主要大脑网络的认知状态。我们的第三个目标(目标3)将提供对 通过引导稳健的多变量研究大脑动态网络和行为的发育变化 分析，这将测试大脑网络组织措施与 青春期的精神特征。我们的目标是展示网络重新配置的逐步增加 跨州作为年龄的函数，并提出这种变化反映了更好的功能和更低的风险 精神变态学。通过绘制这一关键年龄窗口中的大脑连接体，这项工作有可能 阐明发育性脑网络改变如何影响精神病学特征，并最终导致精神分裂症的风险 在向成人期过渡期间患上精神疾病。