@article{1b9dac19a9254f66b2abf9a2f7024c41,
title = "Prenatal exposure to maternal and paternal depressive symptoms and white matter microstructure in children",
abstract = "Background: Prenatal maternal depression has been associated with multiple problems in offspring involving affect, cognition, and neuroendocrine functioning. This suggests that prenatal depression influences neurodevelopment. However, the underlying neurodevelopmental mechanism remains unclear. We prospectively assessed whether maternal depressive symptoms during pregnancy and at the child's age 3 years are related to white matter microstructure in 690 children. The association of paternal depressive symptoms with childhood white matter microstructure was assessed to evaluate genetic or familial confounding. Methods: Parental depressive symptoms were measured using the Brief Symptom Inventory. In children aged 6–9 years, we used diffusion tensor imaging to assess white matter microstructure characteristics including fractional anisotropy (FA) and mean diffusivity (MD). Results: Exposure to maternal depressive symptoms during pregnancy was associated with higher MD in the uncinate fasciculus and to lower FA and higher MD in the cingulum bundle. No associations of maternal depressive symptoms at the child's age of 3 years with white matter characteristics were observed. Paternal depressive symptoms also showed a trend toward significance for a lower FA in the cingulum bundle. Conclusions: Prenatal maternal depressive symptoms were associated with higher MD in the uncinate fasciculus and the cingulum bundle. These structures are part of the limbic system, which is involved in motivation, emotion, learning, and memory. As paternal depressive symptoms were also related to lower FA in the cingulum, the observed effect may partly reflect a genetic predisposition and shared environmental family factors and to a lesser extent a specific intrauterine effect.",
keywords = "depression, magnetic resonance imaging, paternal exposure, prenatal programming, white matter microstructure",
author = "{El Marroun}, Hanan and Runyu Zou and Muetzel, {Ryan L.} and Jaddoe, {Vincent W.} and Verhulst, {Frank C.} and Tonya White and Henning Tiemeier",
note = "Funding Information: The Generation R Study is conducted by the Erasmus Medical Center in close collaboration with the School of Law and Faculty of Social Sciences of the Erasmus University Rotterdam; the Municipal Health Service Rotterdam Area, Rotterdam; the Rotterdam Homecare Foundation, Rotterdam; and the Stichting Trombosedienst & Artsenlaboratorium Rijnmond (STAR-MDC), Rotterdam. We gratefully acknowledge the contribution of children and parents, general practitioners, hospitals, midwives, and pharmacies in Rotterdam. We thank members of the neuroimaging team of the Department of Child and Adolescent Psychiatry for their efforts in study coordination, data collection, and technical support. The general design of Generation R Study is made possible by financial support from the Erasmus Medical Center, Rotterdam, the Erasmus University Rotterdam, ZonMw, the Netherlands Organization for Scientific Research (NWO), and the Ministry of Health, Welfare and Sport. The Erasmus University Rotterdam granted Dr. El Marroun a personal fellowship (EUR Fellow 2014) and supported this work financially. Furthermore, Dr. Jaddoe received financial support from the European Union's Horizon 2020 research and innovation program (No.: 633595, DynaHealth). This study was further supported by the Netherlands Organization for Health Research and Development (ZonMW Geestkracht Program 10.000.1003 and ZonMw TOP 40-00812-98-11021). MRI data acquisition was sponsored in part by the European Community's 7th Framework Programme (FP7/2008–2013, 212652). Supercomputing resources were supported by the NWO Physical Sciences Division (Exacte Wetenschappen) and SURFsara (Lisa compute cluster, www.surfsara.nl). Funding Information: The Generation R Study is conducted by the Erasmus Medical Center in close collaboration with the School of Law and Faculty of Social Sciences of the Erasmus University Rotterdam; the Municipal Health Service Rotterdam Area, Rotterdam; the Rotterdam Homecare Foundation, Rotterdam; and the Stichting Trombosedienst & Artsenlabo-ratorium Rijnmond (STAR-MDC), Rotterdam. We gratefully acknowledge the contribution of children and parents, general practitioners, hospitals, midwives, and pharmacies in Rotterdam. We thank members of the neuroimaging team of the Department of Child and Adolescent Psychiatry for their efforts in study coordination, data collection, and technical support. The general design of Generation R Study is made possible by financial support from the Erasmus Medical Center, Rotterdam, the Erasmus University Rotterdam, ZonMw, the Netherlands Organization for Scientific Research (NWO), and the Ministry of Health, Welfare and Sport. The Erasmus University Rotterdam granted Dr. El Marroun a personal fellowship (EUR Fellow 2014) and supported this work financially. Furthermore, Dr. Jaddoe received financial support from the European Union's Horizon 2020 research and innovation program (No.: 633595, DynaHealth). This study was further supported by the Netherlands Organization for Health Research and Development (ZonMW Geestkracht Program 10.000.1003 and ZonMw TOP 40-00812-98-11021). MRI data acquisition was sponsored in part by the European Community's 7th Framework Programme (FP7/2008– 2013, 212652). Supercomputing resources were supported by the NWO Physical Sciences Division (Exacte Wetenschappen) and SURFsara (Lisa compute cluster, www.surfsara.nl). Funding Information: Grant sponsor: The Erasmus University Rotterdam; Grant sponsor: European Union's Horizon 2020 research and innovation program; Grant number: 633595; Grant sponsor: Netherlands Organization for Health Research and Development (ZonMW Geestkracht Program 10.000.1003 and ZonMw TOP 40-00812-98-11021); Grant sponsor: European Community's 7th Framework Programme; Grant number: FP7/2008–2013, 212652; Grant sponsor: NWO Physical Sciences Division (Exacte Wetenschap-pen) and SURFsara (Lisa compute cluster). Publisher Copyright: {\textcopyright} 2018 Wiley Periodicals, Inc.",
year = "2018",
month = apr,
doi = "10.1002/da.22722",
language = "English",
volume = "35",
pages = "321--329",
journal = "Depression and Anxiety",
issn = "1091-4269",
publisher = "Wiley-Blackwell",
number = "4",
}