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Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
Published on: April 26, 2024
Prenatal depressive symptoms are associated with altered structural brain networks in infants and moderated by infant
Claire Donnici1, Lianne Tomfohr-Madsen2, Xiangyu Long3
1Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Insights
Prenatal depressive symptoms negatively impact infant brain network development, particularly in areas for emotion regulation. Infant sleep duration may mitigate these effects, highlighting sleep's role in brain development.
Area of Science:
- Neuroscience
- Developmental Psychology
- Public Health
Background:
- Prenatal depressive symptoms prevalence surged during the COVID-19 pandemic.
- Concerns exist regarding impacts on child sleep and brain development.
- This study investigated links between prenatal depression, infant brain structure, and sleep.
Purpose of the Study:
- To determine relationships between prenatal depressive symptoms and infant brain network structure.
- To examine the role of infant sleep as a moderator in these associations.
Main Methods:
- Recruited pregnant individuals for the Pregnancy during the Pandemic (PdP) study.
- Assessed maternal depressive symptoms and infant sleep at 3 months.
- Used diffusion MRI and tractography to analyze infant brain networks (default mode and limbic).
Main Results:
- Prenatal depressive symptoms correlated with reduced clustering coefficient and local efficiency in infant default mode networks.
- Infant sleep duration related to default mode network global efficiency.
- Sleep duration moderated the link between prenatal depression and limbic network connectivity.
Conclusions:
- Prenatal depressive symptoms affect early brain network development crucial for emotion regulation.
- Infant sleep duration may play a protective role in mitigating negative impacts on brain connectivity.
- Sleep is a potential factor influencing infant brain network development in the context of maternal prenatal depression.
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.
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