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Background: Maternal psychological stress during pregnancy is a common and potentially modifiable risk factor for offspring psychiatric disorders. Here we employ novel, data-driven methods to investigate heterogeneity in maternal psychological stress during pregnancy, and associations with infant brain and behavioral development.
Methods: Maternal psychological stress was assessed across pregnancy and early postpartum in two independent mother-infant dyad cohorts (Total N=2,271). Maternal perinatal stress trajectories were characterized and grouped into clusters using a novel machine learning algorithm, the Functional Random Forest. Across both samples, maternal stress trajectories were examined in relationship to infant negative affect. Neonatal amygdala resting-state functional connectivity MRI was examined in the sample with neuroimaging data.
Outcomes: In the original sample, four distinct clusters characterized by differences in the pattern of change over time (trajectory), and two characterized by overall magnitude of stress (higher versus lower) were identified. The magnitude clusters were not associated with infant brain or behavioral outcomes. In contrast, the trajectory cluster characterized by increasing stress in late pregnancy was associated with a smaller increase in infant negative affect from 3 to 24 months (M = −0.927, p = 0.04) and stronger amygdala to ventromedial prefrontal cortex resting state functional connectivity (B = 0.441, p = 0.03). The trajectory cluster characterized by peak stress in late pregnancy was associated with stronger amygdala to anterior insula (B = 0.471, p = 0.02) and amygdala to ventromedial prefrontal cortex (B = 0.507, p = 0.02) resting state functional connectivity. The maternal trajectory clusters were replicated in an independent sample. Consistent with the results from the original cohort, maternal trajectory clusters showed a significant main effect of group on infant negative affect over time (F=3·04, p=0·028).
Interpretation: In this cohort study of mothers and their infants, we found associations between the trajectory of maternal psychological stress during the perinatal period and negative affect in offspring out to 2-years of age using a novel machine learning algorithm. Patterns of offspring amygdala functional connectivity were also affected by maternal stress trajectories in offspring. In other words, the trajectory, as opposed to the magnitude, of perinatal stress appears to be critical in determining how maternal psychological stress during pregnancy affects offspring brain and behavioral development. Stress late in pregnancy appears to be a highly sensitive time with effects on increased neonatal amygdala functional connectivity and negative affect development lasting over the first two years of life. Understanding the heterogeneity of perinatal stress trajectories and their influence on infant brain and behavioral development is critical to targeting future interventions.
Mollie Marr, Oregon Health & Science University (OHSU)
Presenting Author
Alice M. Graham, Oregon Health and Science University
Non-Presenting Author
Eric Feczko, University of Minnesota
Non-Presenting Author
Saara Nolvi, University of Turku
Non-Presenting Author
Elina Thomas, Oregon Health & Science University
Non-Presenting Author
Darrick Sturgeon, Oregon Health & Science University
Non-Presenting Author
Emma Schifsky, Oregon Health & Science University
Non-Presenting Author
Jerod M. Rasmussen, University of California, Irvine
Non-Presenting Author
John H. Gilmore, University of North Carolina at Chapel Hill
Non-Presenting Author
Martin Styner, University of North Carolina at Chapel Hill
Non-Presenting Author
Sonja Entringer, Charité University of Medicine Berlin
Non-Presenting Author
Pathik D. Wadhwa, University of California, Irvine
Non-Presenting Author
Riikka Korja, University of Turku
Non-Presenting Author
Hasse Karlsson, Turku University Hospital and University of Turku
Non-Presenting Author
Linnea Karlsson, University of Turku
Non-Presenting Author
Claudia Buss, Charité University of Medicine Berlin
Non-Presenting Author
Damien A. Fair, University of Minnesota - Twin Cities
Non-Presenting Author