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Developmental topography of cortical thickness during infancy

During the first 2 postnatal years, cortical thickness of the human brain develops dynamically and spatially heterogeneously and likely peaks between 1 and 2 y of age. The striking development renders this period critical for later cognitive outcomes and vulnerable to early neurodevelopmental disord...

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Autores principales: Wang, Fan, Lian, Chunfeng, Wu, Zhengwang, Zhang, Han, Li, Tengfei, Meng, Yu, Wang, Li, Lin, Weili, Shen, Dinggang, Li, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689940/
https://www.ncbi.nlm.nih.gov/pubmed/31332010
http://dx.doi.org/10.1073/pnas.1821523116
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author Wang, Fan
Lian, Chunfeng
Wu, Zhengwang
Zhang, Han
Li, Tengfei
Meng, Yu
Wang, Li
Lin, Weili
Shen, Dinggang
Li, Gang
author_facet Wang, Fan
Lian, Chunfeng
Wu, Zhengwang
Zhang, Han
Li, Tengfei
Meng, Yu
Wang, Li
Lin, Weili
Shen, Dinggang
Li, Gang
author_sort Wang, Fan
collection PubMed
description During the first 2 postnatal years, cortical thickness of the human brain develops dynamically and spatially heterogeneously and likely peaks between 1 and 2 y of age. The striking development renders this period critical for later cognitive outcomes and vulnerable to early neurodevelopmental disorders. However, due to the difficulties in longitudinal infant brain MRI acquisition and processing, our knowledge still remains limited on the dynamic changes, peak age, and spatial heterogeneities of cortical thickness during infancy. To fill this knowledge gap, in this study, we discover the developmental regionalization of cortical thickness, i.e., developmentally distinct regions, each of which is composed of a set of codeveloping cortical vertices, for better understanding of the spatiotemporal heterogeneities of cortical thickness development. We leverage an infant-dedicated computational pipeline, an advanced multivariate analysis method (i.e., nonnegative matrix factorization), and a densely sampled longitudinal dataset with 210 serial MRI scans from 43 healthy infants, with each infant being scheduled to have 7 longitudinal scans at around 1, 3, 6, 9, 12, 18, and 24 mo of age. Our results suggest that, during the first 2 y, the whole-brain average cortical thickness increases rapidly and reaches a plateau at about 14 mo of age and then decreases at a slow pace thereafter. More importantly, each discovered region is structurally and functionally meaningful and exhibits a distinctive developmental pattern, with several regions peaking at varied ages while others keep increasing in the first 2 postnatal years. Our findings provide valuable references and insights for early brain development.
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spelling pubmed-66899402019-08-14 Developmental topography of cortical thickness during infancy Wang, Fan Lian, Chunfeng Wu, Zhengwang Zhang, Han Li, Tengfei Meng, Yu Wang, Li Lin, Weili Shen, Dinggang Li, Gang Proc Natl Acad Sci U S A Social Sciences During the first 2 postnatal years, cortical thickness of the human brain develops dynamically and spatially heterogeneously and likely peaks between 1 and 2 y of age. The striking development renders this period critical for later cognitive outcomes and vulnerable to early neurodevelopmental disorders. However, due to the difficulties in longitudinal infant brain MRI acquisition and processing, our knowledge still remains limited on the dynamic changes, peak age, and spatial heterogeneities of cortical thickness during infancy. To fill this knowledge gap, in this study, we discover the developmental regionalization of cortical thickness, i.e., developmentally distinct regions, each of which is composed of a set of codeveloping cortical vertices, for better understanding of the spatiotemporal heterogeneities of cortical thickness development. We leverage an infant-dedicated computational pipeline, an advanced multivariate analysis method (i.e., nonnegative matrix factorization), and a densely sampled longitudinal dataset with 210 serial MRI scans from 43 healthy infants, with each infant being scheduled to have 7 longitudinal scans at around 1, 3, 6, 9, 12, 18, and 24 mo of age. Our results suggest that, during the first 2 y, the whole-brain average cortical thickness increases rapidly and reaches a plateau at about 14 mo of age and then decreases at a slow pace thereafter. More importantly, each discovered region is structurally and functionally meaningful and exhibits a distinctive developmental pattern, with several regions peaking at varied ages while others keep increasing in the first 2 postnatal years. Our findings provide valuable references and insights for early brain development. National Academy of Sciences 2019-08-06 2019-07-22 /pmc/articles/PMC6689940/ /pubmed/31332010 http://dx.doi.org/10.1073/pnas.1821523116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Wang, Fan
Lian, Chunfeng
Wu, Zhengwang
Zhang, Han
Li, Tengfei
Meng, Yu
Wang, Li
Lin, Weili
Shen, Dinggang
Li, Gang
Developmental topography of cortical thickness during infancy
title Developmental topography of cortical thickness during infancy
title_full Developmental topography of cortical thickness during infancy
title_fullStr Developmental topography of cortical thickness during infancy
title_full_unstemmed Developmental topography of cortical thickness during infancy
title_short Developmental topography of cortical thickness during infancy
title_sort developmental topography of cortical thickness during infancy
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689940/
https://www.ncbi.nlm.nih.gov/pubmed/31332010
http://dx.doi.org/10.1073/pnas.1821523116
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