Suppr超能文献

父母身份和大脑及细胞年龄标志物:三维卷积网络和分类研究。

Parental status and markers of brain and cellular age: A 3D convolutional network and classification study.

机构信息

Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland; Department of Psychology, University of Oslo, Oslo, Norway; Department of Psychiatry, University of Oxford, Oxford, UK.

Department of Psychology, University of Oslo, Oslo, Norway.

出版信息

Psychoneuroendocrinology. 2024 Jul;165:107040. doi: 10.1016/j.psyneuen.2024.107040. Epub 2024 Apr 2.

Abstract

Recent research shows prominent effects of pregnancy and the parenthood transition on structural brain characteristics in humans. Here, we present a comprehensive study of how parental status and number of children born/fathered links to markers of brain and cellular ageing in 36,323 UK Biobank participants (age range 44.57-82.06 years; 52% female). To assess global effects of parenting on the brain, we trained a 3D convolutional neural network on T1-weighted magnetic resonance images, and estimated brain age in a held-out test set. To investigate regional specificity, we extracted cortical and subcortical volumes using FreeSurfer, and ran hierarchical clustering to group regional volumes based on covariance. Leukocyte telomere length (LTL) derived from DNA was used as a marker of cellular ageing. We employed linear regression models to assess relationships between number of children, brain age, regional brain volumes, and LTL, and included interaction terms to probe sex differences in associations. Lastly, we used the brain measures and LTL as features in binary classification models, to determine if markers of brain and cellular ageing could predict parental status. The results showed associations between a greater number of children born/fathered and younger brain age in both females and males, with stronger effects observed in females. Volume-based analyses showed maternal effects in striatal and limbic regions, which were not evident in fathers. We found no evidence for associations between number of children and LTL. Classification of parental status showed an Area under the ROC Curve (AUC) of 0.57 for the brain age model, while the models using regional brain volumes and LTL as predictors showed AUCs of 0.52. Our findings align with previous population-based studies of middle- and older-aged parents, revealing subtle but significant associations between parental experience and neuroimaging-based surrogate markers of brain health. The findings further corroborate results from longitudinal cohort studies following parents across pregnancy and postpartum, potentially indicating that the parenthood transition is associated with long-term influences on brain health.

摘要

最近的研究表明,怀孕和为人父母的转变对人类大脑的结构特征有显著影响。在这里,我们对 36323 名英国生物银行参与者(年龄范围为 44.57-82.06 岁;52%为女性)的父母身份和生育/养育子女数量与大脑和细胞衰老标志物之间的关系进行了综合研究。为了评估育儿对大脑的整体影响,我们在 T1 加权磁共振图像上训练了一个 3D 卷积神经网络,并在保留的测试集中估计大脑年龄。为了研究区域特异性,我们使用 FreeSurfer 提取皮质和皮质下体积,并运行层次聚类,根据协方差将区域体积分组。从 DNA 中提取的白细胞端粒长度(LTL)被用作细胞衰老的标志物。我们采用线性回归模型来评估子女数量、大脑年龄、区域脑体积和 LTL 之间的关系,并包括交互项来探究关联中的性别差异。最后,我们将大脑测量值和 LTL 用作二元分类模型的特征,以确定大脑和细胞衰老的标志物是否可以预测父母身份。结果表明,在女性和男性中,生育/养育子女数量与大脑年龄呈负相关,且女性中的效应更强。基于体积的分析显示,母亲的影响在纹状体和边缘区域,而在父亲中则不明显。我们没有发现子女数量与 LTL 之间存在关联的证据。父母身份的分类显示,大脑年龄模型的 ROC 曲线下面积(AUC)为 0.57,而使用区域脑体积和 LTL 作为预测因子的模型的 AUC 为 0.52。我们的发现与之前针对中老年父母的基于人群的研究一致,揭示了父母经验与大脑健康的神经影像学替代标志物之间存在微妙但显著的关联。这些发现进一步证实了对怀孕和产后期间父母进行跟踪的纵向队列研究的结果,这可能表明为人父母的转变与大脑健康的长期影响有关。

相似文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验