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Updated: Dec 25, 2025

Using a Murine Model of Psychosocial Stress in Pregnancy as a Translationally Relevant Paradigm for Psychiatric Disorders in Mothers and Infants
Published on: June 13, 2021
Prenatal maternal mood entropy is associated with child neurodevelopment
Mariann A Howland1, Curt A Sandman2, Elysia Poggi Davis3
1Institute of Child Development, University of Minnesota.
Maternal mood entropy, a measure of mood unpredictability during pregnancy, is linked to poorer child cognitive and language development. This finding highlights mood entropy as a novel predictor of neurodevelopmental outcomes.
Area of Science:
- Developmental Psychology
- Neuroscience
- Maternal Mental Health
Background:
- Early life experiences significantly shape brain development.
- Maternal mood dysregulation is a known factor influencing child development.
- Predictability of signals, including mood, may impact neurodevelopment.
Purpose of the Study:
- To investigate the association between maternal mood entropy and child neurodevelopmental outcomes.
- To explore mood entropy as a novel indicator of maternal mood dysregulation.
- To assess these associations in longitudinal cohorts.
Main Methods:
- Maternal mood was measured multiple times during pregnancy (from 15 weeks' gestation).
- Shannon's mood entropy was calculated from mood questionnaire responses.
- Child cognitive and language development were assessed at 2 and 6-9 years of age.
Main Results:
- Higher prenatal maternal mood entropy correlated with lower cognitive scores at 2 years.
- Higher prenatal maternal mood entropy was associated with lower expressive language scores at 6-9 years.
- These associations remained significant after controlling for confounding factors.
Conclusions:
- Maternal mood entropy is identified as a novel predictor of child neurodevelopment.
- Characterizing mood components beyond valence and severity offers deeper insights.
- Understanding mood entropy may elucidate mechanisms linking maternal mood to child development.
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