@article{638e077d22d8494f88493604188f4ddc,
title = "Meta-network analysis of structural correlation networks provides insights into brain network development",
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.",
keywords = "Brain network development, Cortical thickness, Low rank, Meta-network analysis, Temporal smoothness",
author = "Xiaohua Xu and Ping He and Yap, {Pew Thian} and Han Zhang and Jingxin Nie and Dinggang Shen",
note = "Funding Information: Data used in the preparation of this article were obtained from the Pediatric MRI Data Repository created by the NIH MRI Study of Normal Brain Development. This is a multi-site, longitudinal study of typically developing children, from newborns to young adults, conducted by the Brain Development Cooperative Group and supported by the National Institute of Child Health and Human Development, the National Institute on Drug Abuse, the National Institute of Mental Health and the National Institute of Neurological Disorders and Stroke (Contract #s N01-HD02-3343, N01-MH9-0002, and N01-NS-9-2314, -2315, -2316, - 2317, -2319, and -2320). A listing of the participating sites and a complete listing of the study investigators can be found at https://pediatricmri.nih.gov/nihpd/info/participating_centers. html. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH. Funding Information: Data used in the preparation of this article were obtained from the Pediatric MRI Data Repository created by the NIH MRI Study of Normal Brain Development. This is a multi-site, longitudinal study of typically developing children, from newborns to young adults, conducted by the Brain Development Cooperative Group and supported by the National Institute of Child Health and Human Development, the National Institute on Drug Abuse, the National Institute of Mental Health and the National Institute of Neurological Disorders and Stroke (Contract #s N01-HD02-3343, N01-MH9-0002, and N01-NS-9-2314, -2315, -2316, -2317, -2319, and -2320). A listing of the participating sites and a complete listing of the study investigators can be found at https://pediatricmri.nih.gov/nihpd/info/participating_centers.html. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH. Funding. XX and PH were supported in part by the Chinese National Natural Science Foundation under Grant Nos. 61402395, 61472343 and 61802336, Natural Science Foundation of Jiangsu Province under contracts BK20151314, BK20140492, and BK20150459, Jiangsu Overseas Research and Training Program for University Prominent Young and Middle-aged Teachers and Presidents, and Jiangsu Government Scholarship for Overseas Studies. P-TY, HZ, and DS were also supported in part by National Institutes of Health grants MH116225, MH100217, AG041721 and AG041721. Funding Information: XX and PH were supported in part by the Chinese National Natural Science Foundation under Grant Nos. 61402395, 61472343 and 61802336, Natural Science Foundation of Jiangsu Province under contracts BK20151314, BK20140492, and BK20150459, Jiangsu Overseas Research and Training Program for University Prominent Young and Middle-aged Teachers and Presidents, and Jiangsu Government Scholarship for Overseas Studies. P-TY, HZ, and DS were also supported in part by National Institutes Publisher Copyright: {\textcopyright} 2019 Xu, He, Yap, Zhang, Nie and Shen.",
year = "2019",
month = feb,
day = "1",
doi = "10.3389/fnhum.2019.00093",
language = "English",
volume = "13",
journal = "Frontiers in Human Neuroscience",
issn = "1662-5161",
publisher = "Frontiers Research Foundation",
}
