AUTHOR=Xu Xiaohua , He Ping , Yap Pew-Thian , Zhang Han , Nie Jingxin , Shen Dinggang TITLE=Meta-Network Analysis of Structural Correlation Networks Provides Insights Into Brain Network Development JOURNAL=Frontiers in Human Neuroscience VOLUME=13 YEAR=2019 URL=https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2019.00093 DOI=10.3389/fnhum.2019.00093 ISSN=1662-5161 ABSTRACT=

Analysis of developmental brain networks is fundamentally important for basic developmental neuroscience. In this paper, we focus on the temporally-covarying connection patterns, called meta-networks, and develop a new mathematical model for meta-network decomposition. With the proposed model, we decompose the developmental structural correlation networks of cortical thickness into five meta-networks. Each meta-network exhibits a distinctive spatial connection pattern, and its covarying trajectory highlights the temporal contribution of the meta-network along development. Systematic analysis of the meta-networks and covarying trajectories provides insights into three important aspects of brain network development.