Literature DB >> 26085637

Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age.

Gang Li1, Weili Lin1, John H Gilmore2, Dinggang Shen3.   

Abstract

Cortical thickness (CT) is related to normal development and neurodevelopmental disorders. It remains largely unclear how the characteristic patterns of CT evolve in the first 2 years. In this paper, we systematically characterized for the first time the detailed vertex-wise patterns of spatial distribution, longitudinal development, and hemispheric asymmetries of CT at 0, 1, and 2 years of age, via surface-based analysis of 219 longitudinal magnetic resonance images from 73 infants. Despite the dynamic increase of CT in the first year and the little change of CT in the second year, we found that the overall spatial distribution of thin and thick cortices was largely present at birth, and evolved only modestly during the first 2 years. Specifically, the precentral gyrus, postcentral gyrus, occipital cortex, and superior parietal region had thin cortices, whereas the prefrontal, lateral temporal, insula, and inferior parietal regions had thick cortices. We revealed that in the first year thin cortices exhibited low growth rates of CT, whereas thick cortices exhibited high growth rates. We also found that gyri were thicker than sulci, and that the anterior bank of the central sulcus was thicker than the posterior bank. Moreover, we showed rightward hemispheric asymmetries of CT in the lateral temporal and posterior insula regions at birth, which shrank gradually in the first 2 years, and also leftward asymmetries in the medial prefrontal, paracentral, and anterior cingulate cortices, which expanded substantially during this period. This study provides the first comprehensive picture of early patterns and evolution of CT during infancy.
Copyright © 2015 the authors 0270-6474/15/359150-13$15.00/0.

Entities:  

Keywords:  cortical thickness; early brain development; hemispheric asymmetry; infant; spatial distribution; sulci and gyri

Mesh:

Year:  2015        PMID: 26085637      PMCID: PMC4469740          DOI: 10.1523/JNEUROSCI.4107-14.2015

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  73 in total

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3.  Hemispheric asymmetries in cortical thickness.

Authors:  E Luders; K L Narr; P M Thompson; D E Rex; L Jancke; A W Toga
Journal:  Cereb Cortex       Date:  2005-11-02       Impact factor: 5.357

4.  Abnormal cortical complexity and thickness profiles mapped in Williams syndrome.

Authors:  Paul M Thompson; Agatha D Lee; Rebecca A Dutton; Jennifer A Geaga; Kiralee M Hayashi; Mark A Eckert; Ursula Bellugi; Albert M Galaburda; Julie R Korenberg; Debra L Mills; Arthur W Toga; Allan L Reiss
Journal:  J Neurosci       Date:  2005-04-20       Impact factor: 6.167

5.  Microstructure of a spatial map in the entorhinal cortex.

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Authors:  Nikos Makris; George M Papadimitriou; Andre van der Kouwe; David N Kennedy; Steven M Hodge; Anders M Dale; Thomas Benner; Lawrence L Wald; Ona Wu; David S Tuch; Verne S Caviness; Tara L Moore; Ronald J Killiany; Mark B Moss; Douglas L Rosene
Journal:  Neurobiol Aging       Date:  2006-09-07       Impact factor: 4.673

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Authors:  Rahul S Desikan; Florent Ségonne; Bruce Fischl; Brian T Quinn; Bradford C Dickerson; Deborah Blacker; Randy L Buckner; Anders M Dale; R Paul Maguire; Bradley T Hyman; Marilyn S Albert; Ronald J Killiany
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9.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

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Authors:  B Fischl; M I Sereno; A M Dale
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

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  45 in total

1.  Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data.

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2.  Cortical Structure and Cognition in Infants and Toddlers.

Authors:  Jessica B Girault; Emil Cornea; Barbara D Goldman; Shaili C Jha; Veronica A Murphy; Gang Li; Li Wang; Dinggang Shen; Rebecca C Knickmeyer; Martin Styner; John H Gilmore
Journal:  Cereb Cortex       Date:  2020-03-21       Impact factor: 5.357

3.  The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.

Authors:  Antonios Makropoulos; Emma C Robinson; Andreas Schuh; Robert Wright; Sean Fitzgibbon; Jelena Bozek; Serena J Counsell; Johannes Steinweg; Katy Vecchiato; Jonathan Passerat-Palmbach; Gregor Lenz; Filippo Mortari; Tencho Tenev; Eugene P Duff; Matteo Bastiani; Lucilio Cordero-Grande; Emer Hughes; Nora Tusor; Jacques-Donald Tournier; Jana Hutter; Anthony N Price; Rui Pedro A G Teixeira; Maria Murgasova; Suresh Victor; Christopher Kelly; Mary A Rutherford; Stephen M Smith; A David Edwards; Joseph V Hajnal; Mark Jenkinson; Daniel Rueckert
Journal:  Neuroimage       Date:  2018-01-31       Impact factor: 6.556

4.  Gyral net: A new representation of cortical folding organization.

Authors:  Hanbo Chen; Yujie Li; Fangfei Ge; Gang Li; Dinggang Shen; Tianming Liu
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5.  Functional near-infrared spectroscopy evidence for the development of topological asymmetry between hemispheric brain networks from childhood to adulthood.

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6.  Construction of 4D infant cortical surface atlases with sharp folding patterns via spherical patch-based group-wise sparse representation.

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Review 7.  Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.

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8.  Environmental Influences on Infant Cortical Thickness and Surface Area.

Authors:  Shaili C Jha; Kai Xia; Mihye Ahn; Jessica B Girault; Gang Li; Li Wang; Dinggang Shen; Fei Zou; Hongtu Zhu; Martin Styner; John H Gilmore; Rebecca C Knickmeyer
Journal:  Cereb Cortex       Date:  2019-03-01       Impact factor: 5.357

9.  Rapid Infant Prefrontal Cortex Development and Sensitivity to Early Environmental Experience.

Authors:  Amanda S Hodel
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10.  Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces.

Authors:  Islem Rekik; Gang Li; Weili Lin; Dinggang Shen
Journal:  Neuroimage       Date:  2016-04-30       Impact factor: 6.556

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