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

• 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
• 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

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.

项目总结/文摘