权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Longitudinal Mapping of Network Development Underlying Executive Dysfunction in Adolescence

青春期执行功能障碍背后的网络发展的纵向映射

基本信息

批准号：
10112308
负责人：
Danielle Smith Bassett
金额：
$ 71.56万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-06-01 至 2023-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10112308
关键词：
Address Adolescence Adolescent Age Attention deficit hyperactivity disorder Back Brain Brain region Clinical Clinical assessments Cognition Cognitive Cognitive Science Communities Complex Data Development Diagnosis Dimensions Disease Equation Evolution Executive Dysfunction Failure Fractals Graph Image Impairment Link Machine Learning Magnetic Resonance Imaging Measures Mediating Mental disorders Modeling Multimodal Imaging Neurosciences Outcome Parietal Participant Pattern Performance Process Property Psychopathology Psychoses Public Health Research Resources Risk-Taking Sampling Schizophrenia Science Short-Term Memory Societies Structure System Systems Analysis Techniques Testing Time Visit Wolves Youth base brain abnormalities cognitive testing cost data resource design disability effective therapy executive function flexibility high dimensionality indexing innovation longitudinal design multilevel analysis multimodality neuroimaging prisma recruit relating to nervous system skills software development statistics theories

项目摘要

ABSTRACT Executive function (EF) undergoes dramatic development during adolescence, and is impaired across multiple psychiatric disorders such as ADHD and psychosis. Despite this fact, the neural substrates of EF development remain incompletely understood. Here, we propose to study the development of EF using cutting- edge techniques from network science. In this proposal, we will recruit 140 participants ages 10-16. This sample will include 50 with ADHD, 50 with psychosis-spectrum diagnoses, and 40 typically developing comparators. Using an accelerated longitudinal design, all participants will be followed and undergo cognitive testing, clinical assessment, and advanced multi-modal neuroimaging at 18 month intervals, yielding an average of 2.5 sessions per participant. This design will allow us to chart the development of structural and functional brain networks during adolescence, and delineate how abnormalities of brain network development are associated with deficits in EF performance, activation, and dynamics. Our overarching hypothesis is that the development of modular yet integrated brain networks during adolescence allows for specific patterns of EF activation and dynamics, and represents a fundamental mechanism for EF development. We posit that abnormalities of network development will be associated with executive dysfunction that is dimensionally present across psychiatric disorders such as ADHD and psychosis. Accordingly, in Aim 1 of this proposal, we will chart the longitudinal development of both structural and functional brain networks, and define how abnormalities of network development are associated with dimensional EF deficits in youth with ADHD and psychosis. In Aim 2, we will define how abnormal development of brain network topology is associated with alterations of executive activation and dynamics. In Aim 3, we will integrate high-dimensional imaging data using advanced multivariate analytic techniques to create a dimensional predictor of executive dysfunction. Finally, in Aim 4, we will share both raw and processed data, creating a valuable new resource for the neuroscience community. This proposal capitalizes on complementary skills of the PIs and the research team, including expertise in brain development, network science, psychopathology, cognitive science, and high dimensional imaging statistics. Through the proposed multi-level analysis, this innovative research will provide a substantial advance in our understanding of the neurodevelopmental substrates of executive dysfunction across psychiatric disorders in adolescence.

摘要