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Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure
Prenatal depressive symptoms are linked to negative child behavioral and cognitive outcomes and predict later psychopathology in adolescent children. Prior work links prenatal depressive symptoms to child brain structure in regions like the amygdala; however, the relationship between symptoms and th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028635/ https://www.ncbi.nlm.nih.gov/pubmed/36691973 http://dx.doi.org/10.1002/hbm.26216 |
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author | Donnici, Claire Long, Xiangyu Reynolds, Jess Giesbrecht, Gerald F. Dewey, Deborah Letourneau, Nicole Huo, Yuankai Landman, Bennett Lebel, Catherine |
author_facet | Donnici, Claire Long, Xiangyu Reynolds, Jess Giesbrecht, Gerald F. Dewey, Deborah Letourneau, Nicole Huo, Yuankai Landman, Bennett Lebel, Catherine |
author_sort | Donnici, Claire |
collection | PubMed |
description | Prenatal depressive symptoms are linked to negative child behavioral and cognitive outcomes and predict later psychopathology in adolescent children. Prior work links prenatal depressive symptoms to child brain structure in regions like the amygdala; however, the relationship between symptoms and the development of brain structure over time remains unclear. We measured maternal depressive symptoms during pregnancy and acquired longitudinal T1‐weighted and diffusion imaging data in children (n = 111; 60 females) between 2.6 and 8 years of age. Controlling for postnatal symptoms, we used linear mixed effects models to test relationships between prenatal depressive symptoms and age‐related changes in (i) amygdala and hippocampal volume and (ii) structural properties of the limbic and default‐mode networks using graph theory. Higher prenatal depressive symptoms in the second trimester were associated with more curvilinear trajectories of left amygdala volume changes. Higher prenatal depressive symptoms in the third trimester were associated with slower age‐related changes in limbic global efficiency and average node degree across childhood. Our work provides evidence that moderate symptoms of prenatal depression in a low sociodemographic risk sample are associated with structural brain development in regions and networks implicated in emotion processing. |
format | Online Article Text |
id | pubmed-10028635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100286352023-03-22 Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure Donnici, Claire Long, Xiangyu Reynolds, Jess Giesbrecht, Gerald F. Dewey, Deborah Letourneau, Nicole Huo, Yuankai Landman, Bennett Lebel, Catherine Hum Brain Mapp Research Articles Prenatal depressive symptoms are linked to negative child behavioral and cognitive outcomes and predict later psychopathology in adolescent children. Prior work links prenatal depressive symptoms to child brain structure in regions like the amygdala; however, the relationship between symptoms and the development of brain structure over time remains unclear. We measured maternal depressive symptoms during pregnancy and acquired longitudinal T1‐weighted and diffusion imaging data in children (n = 111; 60 females) between 2.6 and 8 years of age. Controlling for postnatal symptoms, we used linear mixed effects models to test relationships between prenatal depressive symptoms and age‐related changes in (i) amygdala and hippocampal volume and (ii) structural properties of the limbic and default‐mode networks using graph theory. Higher prenatal depressive symptoms in the second trimester were associated with more curvilinear trajectories of left amygdala volume changes. Higher prenatal depressive symptoms in the third trimester were associated with slower age‐related changes in limbic global efficiency and average node degree across childhood. Our work provides evidence that moderate symptoms of prenatal depression in a low sociodemographic risk sample are associated with structural brain development in regions and networks implicated in emotion processing. John Wiley & Sons, Inc. 2023-01-24 /pmc/articles/PMC10028635/ /pubmed/36691973 http://dx.doi.org/10.1002/hbm.26216 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Donnici, Claire Long, Xiangyu Reynolds, Jess Giesbrecht, Gerald F. Dewey, Deborah Letourneau, Nicole Huo, Yuankai Landman, Bennett Lebel, Catherine Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure |
title | Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure |
title_full | Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure |
title_fullStr | Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure |
title_full_unstemmed | Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure |
title_short | Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure |
title_sort | prenatal depressive symptoms and childhood development of brain limbic and default mode network structure |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028635/ https://www.ncbi.nlm.nih.gov/pubmed/36691973 http://dx.doi.org/10.1002/hbm.26216 |
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