Mapping the Infant Brain Developmental Connectome: Temporally Precise Growth Trajectories of Changing Infant Brain Topology

绘制婴儿大脑发育连接组图：改变婴儿大脑拓扑的时间精确生长轨迹

基本信息

批准号：
10593930
负责人：
Armin Iraji
金额：
$ 24万
依托单位：
EMORY UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-04-07 至 2025-01-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10593930
关键词：
Address Adopted Anatomy Area Behavior Behavioral Benchmarking Birth Brain Brain region Communities Complex Data Data Set Dependence Development Developmental Process Diffusion Diffusion Magnetic Resonance Imaging Disease Event Four-dimensional Functional Magnetic Resonance Imaging Future Goals Graph Growth Head Human Infant Infant Behavior Knowledge Lead Learning Life Link Maps Measures Modernization Neurodevelopmental Disability Neurodevelopmental Disorder Neurosciences Nodal Pathway Analysis Pathway interactions Pattern Process Research Rest Sampling Science Scientific Inquiry Site Structure Synapses System Techniques Time brain volume cognitive function connectome curve fitting density design disability environmental change flexibility graph theory infancy insight longitudinal design neurophysiology novel postnatal response spatiotemporal success

Address Adopted Anatomy Area Behavior Behavioral Benchmarking Birth Brain Brain region Communities Complex Data Data Set Dependence Development Developmental Process Diffusion Diffusion Magnetic Resonance Imaging Disease Event Four-dimensional Functional Magnetic Resonance Imaging Future Goals Graph Growth Head Human Infant Infant Behavior Knowledge Lead Learning Life Link Maps Measures Modernization Neurodevelopmental Disability Neurodevelopmental Disorder Neurosciences Nodal Pathway Analysis Pathway interactions Pattern Process Research Rest Sampling Science Scientific Inquiry Site Structure Synapses System Techniques Time brain volume cognitive function connectome curve fitting density design disability environmental change flexibility graph theory infancy insight longitudinal design neurophysiology novel postnatal response spatiotemporal success

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项目摘要

PROJECT SUMMARY/ABSTRACT The overarching goal of this proposal is to advance our knowledge of early brain development by mapping temporally precise developmental trajectories of brain network topology and dynamics during the first 6 months of life, a period of unparalleled postnatal growth and change. Describing the developmental trajectory of brain systems during this formative period has the potential to provide groundbreaking insights into major areas of scientific inquiry, including the identification of brain systems that underlie the development of cognitive functions, the discovery of how structural and functional network specializations arise, and the identification of brain networks that contribute to neurodevelopmental disability. Using a novel non-uniform longitudinal sampling design and advanced non-parametric curve fitting techniques, the proposed project will map four- dimensional, temporally accurate developmental trajectories of brain structural and functional networks in typically developing infants between birth and the 6th month of life (Aim 1). These connectomes will be made publicly available to the research community. In Aim 2, the latest advances in dynamic network science will be applied to identify community structure (i.e., modules of densely inter-connected brain regions) in time-varying infant brain networks. Finally, fine scale changes in the community dynamics of infant brain networks will be characterized to understand how modules and their interactions change over developmental time (Aim 3). Analyses will be conducted on anatomical, diffusion, and resting-state functional MRI data collected from infants at non-uniform, densely sampled time points between birth and 6 months. The success of the project will significantly advance our understanding of the dynamic processes of brain network development in early infancy, a pivotal, and yet relatively uncharted, period of development.

项目摘要/摘要该提案的总体目标是通过映射提高我们对早期大脑发展的了解在最初6个月内，大脑网络拓扑和动态的时间上精确的发展轨迹生命，一段时间无与伦比的产后生长和变化。描述大脑的发育轨迹在这个形成期间的系统有可能向主要领域的主要领域提供开创性的见解科学询问，包括识别认知发展的基础的大脑系统功能，结构和功能网络专业的发现以及识别大脑网络有助于神经发育障碍。使用新型的非均匀纵向采样设计和高级非参数曲线拟合技术，拟议的项目将绘制四个大脑结构和功能网络的维度，时间准确的发展轨迹通常在出生到生命的第6个月之间发展婴儿（AIM 1）。这些连接组将被制成公开可供研究社区使用。在AIM 2中，动态网络科学的最新进展将是用于识别随着时间变化的社区结构（即密度相互连接的大脑区域的模块）婴儿大脑网络。最后，婴儿脑网络社区动态的细微变化将是旨在了解模块及其相互作用如何在发育时间内发生变化（AIM 3）。分析将对从解剖学，扩散和静止状态功能性MRI数据进行在出生到6个月之间的非均匀，密集抽样的时间点。项目的成功将大大提高我们对早期大脑网络发展的动态过程的理解婴儿期，关键但相对未知的发展时期。