Literature DB >> 24647943

Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of age.

Gang Li1, Li Wang, Feng Shi, Amanda E Lyall, Weili Lin, John H Gilmore, Dinggang Shen.   

Abstract

Human cortical folding is believed to correlate with cognitive functions. This likely correlation may have something to do with why abnormalities of cortical folding have been found in many neurodevelopmental disorders. However, little is known about how cortical gyrification, the cortical folding process, develops in the first 2 years of life, a period of dynamic and regionally heterogeneous cortex growth. In this article, we show how we developed a novel infant-specific method for mapping longitudinal development of local cortical gyrification in infants. By using this method, via 219 longitudinal 3T magnetic resonance imaging scans from 73 healthy infants, we systemically and quantitatively characterized for the first time the longitudinal cortical global gyrification index (GI) and local GI (LGI) development in the first 2 years of life. We found that the cortical GI had age-related and marked development, with 16.1% increase in the first year and 6.6% increase in the second year. We also found marked and regionally heterogeneous cortical LGI development in the first 2 years of life, with the high-growth regions located in the association cortex, whereas the low-growth regions located in sensorimotor, auditory, and visual cortices. Meanwhile, we also showed that LGI growth in most cortical regions was positively correlated with the brain volume growth, which is particularly significant in the prefrontal cortex in the first year. In addition, we observed gender differences in both cortical GIs and LGIs in the first 2 years, with the males having larger GIs than females at 2 years of age. This study provides valuable information on normal cortical folding development in infancy and early childhood.

Entities:  

Keywords:  cortical folding; cortical surface; infant; local gyrification; longitudinal development

Mesh:

Year:  2014        PMID: 24647943      PMCID: PMC3960466          DOI: 10.1523/JNEUROSCI.3976-13.2014

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


  72 in total

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2.  Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms.

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3.  Sexual dimorphism of brain developmental trajectories during childhood and adolescence.

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Journal:  Neuroimage       Date:  2007-04-06       Impact factor: 6.556

4.  iBEAT: A toolbox for infant brain magnetic resonance image processing.

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5.  Resting-state networks in the infant brain.

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6.  Neurodevelopmental trajectories of the human cerebral cortex.

Authors:  Philip Shaw; Noor J Kabani; Jason P Lerch; Kristen Eckstrand; Rhoshel Lenroot; Nitin Gogtay; Deanna Greenstein; Liv Clasen; Alan Evans; Judith L Rapoport; Jay N Giedd; Steve P Wise
Journal:  J Neurosci       Date:  2008-04-02       Impact factor: 6.167

7.  A surface-based approach to quantify local cortical gyrification.

Authors:  Marie Schaer; Meritxell Bach Cuadra; Lucas Tamarit; François Lazeyras; Stephan Eliez; Jean-Philippe Thiran
Journal:  IEEE Trans Med Imaging       Date:  2008-02       Impact factor: 10.048

8.  Lifespan alterations of basal dendritic trees of pyramidal neurons in the human prefrontal cortex: a layer-specific pattern.

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9.  Brain size and folding of the human cerebral cortex.

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10.  Mapping the relationship between cortical convolution and intelligence: effects of gender.

Authors:  Eileen Luders; Katherine L Narr; Robert M Bilder; Philip R Szeszko; Mala N Gurbani; Liberty Hamilton; Arthur W Toga; Christian Gaser
Journal:  Cereb Cortex       Date:  2007-12-17       Impact factor: 5.357

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  110 in total

1.  Cortical thickness and surface area in neonates at high risk for schizophrenia.

Authors:  Gang Li; Li Wang; Feng Shi; Amanda E Lyall; Mihye Ahn; Ziwen Peng; Hongtu Zhu; Weili Lin; John H Gilmore; Dinggang Shen
Journal:  Brain Struct Funct       Date:  2014-11-02       Impact factor: 3.270

2.  A Longitudinal Study of Local Gyrification Index in Young Boys With Autism Spectrum Disorder.

Authors:  Lauren E Libero; Marie Schaer; Deana D Li; David G Amaral; Christine Wu Nordahl
Journal:  Cereb Cortex       Date:  2019-06-01       Impact factor: 5.357

3.  Discovering cortical sulcal folding patterns in neonates using large-scale dataset.

Authors:  Yu Meng; Gang Li; Li Wang; Weili Lin; John H Gilmore; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2018-04-26       Impact factor: 5.038

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

Authors:  Ehsan Adeli; Yu Meng; Gang Li; Weili Lin; Dinggang Shen
Journal:  Neuroimage       Date:  2018-04-27       Impact factor: 6.556

5.  Hierarchical Multi-modal Image Registration by Learning Common Feature Representations.

Authors:  Hongkun Ge; Guorong Wu; Li Wang; Yaozong Gao; Dinggang Shen
Journal:  Mach Learn Med Imaging       Date:  2015-10-05

6.  Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants.

Authors:  Gang Li; Li Wang; Feng Shi; Weili Lin; Dinggang Shen
Journal:  Med Image Anal       Date:  2014-06-25       Impact factor: 8.545

7.  Polygenic Risk for Schizophrenia Influences Cortical Gyrification in 2 Independent General Populations.

Authors:  Bing Liu; Xiaolong Zhang; Yue Cui; Wen Qin; Yan Tao; Jin Li; Chunshui Yu; Tianzi Jiang
Journal:  Schizophr Bull       Date:  2017-05-01       Impact factor: 9.306

8.  Cortical Morphometry in the Psychosis Risk Period: A Comprehensive Perspective of Surface Features.

Authors:  Katherine S F Damme; Tina Gupta; Robin Nusslock; Jessica A Bernard; Joseph M Orr; Vijay A Mittal
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-01-31

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

Authors:  Amanda S Hodel
Journal:  Dev Rev       Date:  2018-03-11

10.  Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing.

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Journal:  Med Image Anal       Date:  2015-11-10       Impact factor: 8.545

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