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Longitudinal Development of Cortical Thickness, Folding, and Fiber Density Networks in the First 2 Years of Life

Authors
Nie, JingxinLi, GangWang, LiShi, FengLin, WeiliGilmore, John H.Shen, Dinggang
Issue Date
8월-2014
Publisher
WILEY
Keywords
cortical development; early brain development; anatomical network; cortical folding
Citation
HUMAN BRAIN MAPPING, v.35, no.8, pp.3726 - 3737
Indexed
SCIE
SCOPUS
Journal Title
HUMAN BRAIN MAPPING
Volume
35
Number
8
Start Page
3726
End Page
3737
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/97810
DOI
10.1002/hbm.22432
ISSN
1065-9471
Abstract
Quantitatively characterizing the development of cortical anatomical networks during the early stage of life plays an important role in revealing the relationship between cortical structural connection and high-level functional development. The development of correlation networks of cortical-thickness, cortical folding, and fiber-density is systematically analyzed in this article to study the relationship between different anatomical properties during the first 2 years of life. Specifically, longitudinal MR images of 73 healthy subjects from birth to 2 year old are used. For each subject at each time point, its measures of cortical thickness, cortical folding, and fiber density are projected to its cortical surface that has been partitioned into 78 cortical regions. Then, the correlation matrices for cortical thickness, cortical folding, and fiber density at each time point can be constructed, respectively, by computing the inter-regional Pearson correlation coefficient (of any pair of ROIs) across all 73 subjects. Finally, the presence/absence pattern (i.e., binary pattern) of the connection network is constructed from each inter-regional correlation matrix, and its statistical and anatomical properties are adopted to analyze the longitudinal development of anatomical networks. The results show that the development of anatomical network could be characterized differently by using different anatomical properties (i.e., using cortical thickness, cortical folding, or fiber density). (C) 2013 Wiley Periodicals, Inc.
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