@article{1b473910b9e74d0295a56a42164e8ae9,
title = "Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure",
abstract = "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.",
keywords = "APrON, graph theory, MRI, prenatal depression, structural networks, white matter",
author = "Claire Donnici and Xiangyu Long and Jess Reynolds and Giesbrecht, {Gerald F.} and Deborah Dewey and Nicole Letourneau and Yuankai Huo and Bennett Landman and Catherine Lebel",
note = "Funding Information: This work was funded by grants from the Canadian Institutes of Health Research (CIHR) (IHD‐134090; MOP‐123535; MOP‐136797, New Investigator Award to CL); the US National Institutes of Health (Exploration/Development Grant 1R21ES021295‐01R21); and the Alberta Children's Hospital Foundation. Funding to establish the APrON cohort was provided by a grant from Alberta Innovates‐Health Solutions (AIHS). CD was supported by funding from CGS‐M CIHR Award and the Cumming School of Medicine, Calgary, Canada. CL receives salary support from the Canada Research Chair program. Funding agencies had no role in design or conduct of the study nor in the preparation and review of this manuscript. The authors would like to acknowledge the contributions of the APrON Study Team. The authors are extremely grateful to all the families who took part in this study and the whole APrON team ( http://www.apronstudy.ca ), investigators, research assistants, graduate and undergraduate students, volunteers, clerical staff, and mangers. Further, the authors would like to thank Ashleigh Frayne, Camilia Thieba, Mercedes Bagshawe, Mary Kate Dichoso, and all members of the Developmental Neuroimaging team who helped with data collection. Publisher Copyright: {\textcopyright} 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.",
year = "2023",
month = apr,
day = "15",
doi = "10.1002/hbm.26216",
language = "English",
volume = "44",
pages = "2380--2394",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss",
number = "6",
}