ArticleProceedings of the National Academy of Sciences of the United States of America2025
Linking pregnancy- and birth-related risk factors to a multivariate fusion of child cortical structure.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Association of prenatal depression and anxiety with cortical development and behavioral outcomes in 8-year-old children.Journal of affective disorders · 2026Article
- Birth Weight and Neurodevelopmental Disorders Across Diagnostic Categories: A Registry-Based Case-Control Study in Clinically Ascertained Samples.Child psychiatry and human development · 2026Article
- Prenatal and early-life determinants of neurodevelopment: A decade of discoveries and new directions in ABCD.Developmental cognitive neuroscience · 2026Review
- Brain regions with gestational age differences mediate cognition in adolescents born very premature.Communications biology · 2026Article
- Relationships between wellbeing polygenic scores, brain structure, and psychopathology in children.medRxiv : the preprint server for health sciences · 2025Article
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Abstract
Pregnancy- and birth-related factors affect offspring brain development, emphasizing the importance of early life exposures. While most previous studies have focused on a few variables in isolation, here we investigated associations between a broad range of pregnancy- and birth-related variables and multivariate cortical brain MRI features. Our sample consisted of 8,396 children aged 8.9 to 11.1 y from the Adolescent Brain Cognitive Development Study. Through multiple correspondence analysis and factor analysis of mixed data, we distilled numerous pregnancy and birth variables into four overarching dimensions; maternal pregnancy complications, maternal substance use, low birth weight and prematurity, and newborn birth complications. Vertex-wise measures of cortical thickness (CT), surface area (SA), and curvature were fused using linked independent component analysis. Linear mixed-effects models showed that maternal pregnancy complications and low birth weight and prematurity were associated with smaller global SA. Additionally, low birth weight and prematurity was associated with complex regional cortical patterns reflecting bidirectional variations in both SA and CT. Newborn birth complications showed multivariate patterns reflecting smaller occipital- and larger temporal area, bidirectional frontal area variations, and reduced CT across the cortex. Maternal substance use showed no associations with child cortical structure. By employing a multifactorial and multivariate morphometric fusion approach, we connected complications during pregnancy and fetal size and prematurity to global SA and specific regional signatures across child cortical MRI features.
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