ArticleScientific reports2024
Prenatal family income, but not parental education, is associated with resting brain activity in 1-month-old infants.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pediatric resting EEG collection, preprocessing, and analysis: A systematic review.Developmental cognitive neuroscience · 2026Pooled it
- Associations between resting brain activity and socioemotional skills across the first 2 years of life.Developmental psychology · 2026Article
- Power struggles: Absolute vs. relative EEG power in developmental neuroscience.Developmental cognitive neuroscience · 2026Article
- Poverty and caregiver mental health are related to infant and toddler resting-state brain networks: insights from fNIRS.Neurophotonics · 2026Article
- Age-related patterns of resting EEG power in infancy: Associations with prenatal socioeconomic disadvantage.Developmental cognitive neuroscience · 2025Article
- Associations Between Prenatal Maternal Stress and Infant Resting Brain Activity: A Preregistered Investigation.Developmental psychobiology · 2025Article
- Article
- Heterogeneity in pediatric resting EEG data processing and analysis: A state of the field.Psychophysiology · 2025Article
- EEG Theta Power in Bangladeshi Children: Associations With Early Experiences and Cognitive Outcomes.Child developmentArticle
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5 authors.
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Abstract
Childhood socioeconomic disadvantage is associated with disparities in development and health, possibly through adaptations in children's brain function. However, it is not clear how early in development such neural adaptations might emerge. This study examined whether prenatal family socioeconomic status, operationalized as family income and average years of parental education, prospectively predicts individual differences in infant resting electroencephalography (EEG; theta, alpha, beta, and gamma power) at approximately 1 month of age (N = 160). Infants of mothers reporting lower family income showed more lower-frequency (theta) and less higher-frequency (beta and gamma) power. These associations held when adjusting for other prenatal and postnatal experiences, as well as infant demographic and health-related factors. In contrast, parental education was not significantly associated with infant EEG power in any frequency band. These data suggest that lower prenatal family income is associated with developmental differences in brain function that are detectable within the first month of life.
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