Literature DB >> 24375724

Longitudinal development of cortical thickness, folding, and fiber density networks in the first 2 years of life.

Jingxin Nie1, Gang Li, Li Wang, Feng Shi, Weili Lin, John H Gilmore, Dinggang Shen.   

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).
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  anatomical network; cortical development; cortical folding; early brain development

Mesh:

Year:  2013        PMID: 24375724      PMCID: PMC4065646          DOI: 10.1002/hbm.22432

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


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8.  Can we predict subject-specific dynamic cortical thickness maps during infancy from birth?

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