Prenatal depressive symptoms are associated with altered structural brain networks in infants and moderated by infant sleep

Abstract

Background: The prevalence of prenatal depressive symptoms has more than doubled during the COVID-19 pandemic, raising substantial concerns about child outcomes including sleep problems and altered brain development. The objective of this work was to determine relationships between prenatal depressive symptoms, infant brain network structure, and infant sleep.

Methods: Pregnant individuals were recruited as part of the Pregnancy during the Pandemic (PdP) study. Maternal depressive symptoms were measured in pregnancy and postpartum. When infants of those participants were 3 months of age (n=66; 26 females), infants underwent diffusion magnetic resonance imaging and infant sleep was evaluated. Using tractography, we calculated structural connectivity matrices for the default mode (DMN) and limbic networks. We examined associations between graph theory metrics of infant brain networks and prenatal maternal depressive symptoms, with infant sleep as a moderator.

Results: Prenatal depressive symptoms were negatively related to average DMN clustering coefficient and local efficiency in infant brains. Infant sleep duration was related to DMN global efficiency and moderated the relationship between prenatal depressive symptoms and density of limbic connections such that infants who slept less had a more negative relationship between prenatal depressive symptoms and local brain connectivity.

Conclusions: Prenatal depressive symptoms appear to impact early topological development in brain networks important for emotion regulation. In the limbic network, sleep duration moderated this relationship, suggesting sleep may play a role in infant brain network development.

Keywords: Graph theory; Infant sleep; MRI; Pregnancy during the Pandemic; Prenatal depression; White matter.