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Mapping the neuroanatomical impact of very preterm birth across childhood
Those born very preterm (VPT; <32 weeks gestational age) have an increased risk in developing a wide range of cognitive deficits. In early‐to‐late childhood, brain structure has been shown to be altered in VPT compared to full‐term (FT) children; however, the results are inconsistent. The current...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267987/ https://www.ncbi.nlm.nih.gov/pubmed/31692204 http://dx.doi.org/10.1002/hbm.24847 |
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author | Vandewouw, Marlee M. Young, Julia M. Mossad, Sarah I. Sato, Julie Whyte, Hilary A. E. Shroff, Manohar M. Taylor, Margot J. |
author_facet | Vandewouw, Marlee M. Young, Julia M. Mossad, Sarah I. Sato, Julie Whyte, Hilary A. E. Shroff, Manohar M. Taylor, Margot J. |
author_sort | Vandewouw, Marlee M. |
collection | PubMed |
description | Those born very preterm (VPT; <32 weeks gestational age) have an increased risk in developing a wide range of cognitive deficits. In early‐to‐late childhood, brain structure has been shown to be altered in VPT compared to full‐term (FT) children; however, the results are inconsistent. The current study examined subcortical volumes, cortical thickness, and surface area in a large cohort of VPT and FT children aged 4–12 years. Structural magnetic resonance imaging (MRI) was obtained on 120 VPT and 146 FT children who returned up to three times, resulting in 176 VPT and 173 FT unique data points. For each participant, Corticometric Iterative Vertex‐based Estimation of Thickness was used to obtain global measurements of total brain, cortical grey and cortical white matter volumes, along with surface‐based measurements of cortical thickness and surface area, and Multiple Automatically Generated Templates (MAGeT) brain segmentation tool was used to segment the subcortical structures. To examine group differences and group–age interactions, mixed‐effects models were used (controlling for whole‐brain volume). We found few differences between the two groups in subcortical volumes. The VPT children showed increased cortical thickness in frontal, occipital and fusiform gyri and inferior pre–post–central areas, while thinning occurred in the midcingulate. Cortical thickness in occipital regions showed more rapid decreases with age in the VPT compared to the FT children. VPT children also showed both regional increases, particularly in the temporal lobe, and decreases in surface area. Our results indicate a delayed maturational trajectory in those born VPT. |
format | Online Article Text |
id | pubmed-7267987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72679872020-06-12 Mapping the neuroanatomical impact of very preterm birth across childhood Vandewouw, Marlee M. Young, Julia M. Mossad, Sarah I. Sato, Julie Whyte, Hilary A. E. Shroff, Manohar M. Taylor, Margot J. Hum Brain Mapp Research Articles Those born very preterm (VPT; <32 weeks gestational age) have an increased risk in developing a wide range of cognitive deficits. In early‐to‐late childhood, brain structure has been shown to be altered in VPT compared to full‐term (FT) children; however, the results are inconsistent. The current study examined subcortical volumes, cortical thickness, and surface area in a large cohort of VPT and FT children aged 4–12 years. Structural magnetic resonance imaging (MRI) was obtained on 120 VPT and 146 FT children who returned up to three times, resulting in 176 VPT and 173 FT unique data points. For each participant, Corticometric Iterative Vertex‐based Estimation of Thickness was used to obtain global measurements of total brain, cortical grey and cortical white matter volumes, along with surface‐based measurements of cortical thickness and surface area, and Multiple Automatically Generated Templates (MAGeT) brain segmentation tool was used to segment the subcortical structures. To examine group differences and group–age interactions, mixed‐effects models were used (controlling for whole‐brain volume). We found few differences between the two groups in subcortical volumes. The VPT children showed increased cortical thickness in frontal, occipital and fusiform gyri and inferior pre–post–central areas, while thinning occurred in the midcingulate. Cortical thickness in occipital regions showed more rapid decreases with age in the VPT compared to the FT children. VPT children also showed both regional increases, particularly in the temporal lobe, and decreases in surface area. Our results indicate a delayed maturational trajectory in those born VPT. John Wiley & Sons, Inc. 2019-11-05 /pmc/articles/PMC7267987/ /pubmed/31692204 http://dx.doi.org/10.1002/hbm.24847 Text en © 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Vandewouw, Marlee M. Young, Julia M. Mossad, Sarah I. Sato, Julie Whyte, Hilary A. E. Shroff, Manohar M. Taylor, Margot J. Mapping the neuroanatomical impact of very preterm birth across childhood |
title | Mapping the neuroanatomical impact of very preterm birth across childhood |
title_full | Mapping the neuroanatomical impact of very preterm birth across childhood |
title_fullStr | Mapping the neuroanatomical impact of very preterm birth across childhood |
title_full_unstemmed | Mapping the neuroanatomical impact of very preterm birth across childhood |
title_short | Mapping the neuroanatomical impact of very preterm birth across childhood |
title_sort | mapping the neuroanatomical impact of very preterm birth across childhood |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267987/ https://www.ncbi.nlm.nih.gov/pubmed/31692204 http://dx.doi.org/10.1002/hbm.24847 |
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