Maternal anxiety during pregnancy is associated with weaker prefrontal functional connectivity in adult offspring

Author:

Turk Elise,van den Heuvel Marion I.,Sleurs Charlotte,Billiet Thibo,Uyttebroeck Anne,Sunaert Stefan,Mennes Maarten,Van den Bergh Bea R.H.

Abstract

Abstract Background The connectome, constituting a unique fingerprint of a person’s brain, may be influenced by its prenatal environment, potentially affecting later-life resilience and mental health. Methods We conducted a prospective resting-state functional Magnetic Resonance Imaging study in 28-year-old offspring (N = 49) of mothers whose anxiety was monitored during pregnancy. Two offspring anxiety subgroups were defined: “High anxiety” (n = 13) group versus “low-to-medium anxiety” (n = 36) group, based on maternal self-reported state anxiety at 12–22 weeks of gestation. To predict resting-state functional connectivity of 32 by 32 ROIs, maternal state anxiety during pregnancy was included as a predictor in general linear models for both ROI-to-ROI and graph theoretical metrics. Sex, birth weight and postnatal anxiety were included as covariates. Results Higher maternal anxiety was associated with weaker functional connectivity of medial prefrontal cortex with left inferior frontal gyrus (t = 3.45, pFDR < 0.05). Moreover, network-based statistics (NBS) confirmed our finding and revealed an additional association of weaker connectivity between left lateral prefontal cortex with left somatosensory motor gyrus in the offspring. While our results showed a general pattern of lower functional connectivity in adults prenatally exposed to maternal anxiety, we did not observe significant differences in global brain networks between groups. Conclusions Weaker (medial) prefrontal cortex functional connectivity in the high anxiety adult offspring group suggests a long-term negative impact of prenatal exposure to high maternal anxiety, extending into adulthood. To prevent mental health problems at population level, universal primary prevention strategies should aim at lowering maternal anxiety during pregnancy.

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Fonds Wetenschappelijk Onderzoek

European Science Foundation

Seventh Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Behavioral Neuroscience,Psychiatry and Mental health,Cellular and Molecular Neuroscience,Neurology (clinical),Cognitive Neuroscience,Neurology,Radiology, Nuclear Medicine and imaging

Reference59 articles.

1. Acosta, H., Tuulari, J. J., Scheinin, N. M., Hashempour, N., Rajasilta, O., Lavonius, T. I., Pelto, J., Saunavaara, V., Parkkola, R., Lähdesmäki, T., Karlsson, L., & Karlsson, H. (2019). Maternal pregnancy-related anxiety is Associated with sexually dimorphic alterations in Amygdala volume in 4-Year-old children [10.3389/fnbeh.2019.00175]. Frontiers in Behavioral Neuroscience, 13, 175. https://doi.org/10.3389/fnbeh.2019.00175.

2. Acosta, H., Tuulari, J. J., Scheinin, N. M., Hashempour, N., Rajasilta, O., Lavonius, T. I., Pelto, J., Saunavaara, V., Parkkola, R., Lähdesmäki, T., Karlsson, L., & Karlsson, H. (2020). Prenatal maternal depressive symptoms are associated with smaller amygdalar volumes of four-year-old children. Psychiatry Res Neuroimaging, 304, 111153. https://doi.org/10.1016/j.pscychresns.2020.111153.

3. Adamson, B., Letourneau, N., & Lebel, C. (2018). Prenatal maternal anxiety and children’s brain structure and function: A systematic review of neuroimaging studies. Journal of Affective Disorders, 241, 117–126. https://doi.org/10.1016/j.jad.2018.08.029.

4. Andescavage, N. N., du Plessis, A., McCarter, R., Serag, A., Evangelou, I., Vezina, G., Robertson, R., & Limperopoulos, C. (2017). Complex trajectories of Brain Development in the healthy human fetus. Cerebral Cortex, 27(11), 5274–5283. https://doi.org/10.1093/cercor/bhw306.

5. Bauer, A., Knapp, M., & Parsonage, M. (2016). Lifetime costs of perinatal anxiety and depression. Journal Of Affective Disorders, 192, 83–90. https://doi.org/10.1016/j.jad.2015.12.005.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3