Lindseth Linn R S, Beck Dani, Westlye Lars T, Tamnes Christian K, Norbom Linn B
Research Center for Developmental Processes and Gradients in Mental Health, Department of Psychology, University of Oslo, Oslo 0373, Norway.
Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo 0373, Norway.
Proc Natl Acad Sci U S A. 2025 Jun 24;122(25):e2422281122. doi: 10.1073/pnas.2422281122. Epub 2025 Jun 17.
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.
与妊娠和分娩相关的因素会影响后代的大脑发育，这凸显了生命早期暴露因素的重要性。虽然此前大多数研究都孤立地关注少数几个变量，但在此我们研究了一系列与妊娠和分娩相关的变量与多变量皮质脑MRI特征之间的关联。我们的样本包括来自青少年大脑认知发展研究的8396名年龄在8.9至11.1岁之间的儿童。通过对混合数据进行多重对应分析和因子分析，我们将众多妊娠和分娩变量归纳为四个总体维度：母亲妊娠并发症、母亲物质使用、低出生体重和早产，以及新生儿出生并发症。使用链接独立成分分析融合了顶点层面的皮质厚度（CT）、表面积（SA）和曲率测量值。线性混合效应模型显示，母亲妊娠并发症以及低出生体重和早产与整体SA较小有关。此外，低出生体重和早产与复杂的区域皮质模式有关，反映出SA和CT的双向变化。新生儿出生并发症呈现出多变量模式，反映出枕叶面积较小和颞叶面积较大、额叶面积双向变化以及整个皮质CT降低。母亲物质使用与儿童皮质结构无关联。通过采用多因素和多变量形态测量融合方法，我们将孕期并发症、胎儿大小和早产与儿童皮质MRI特征中的整体SA和特定区域特征联系起来。
