父母状况与大脑和细胞年龄的标志:三维卷积网络与分类研究

IF 3.4 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM Psychoneuroendocrinology Pub Date : 2024-04-02 DOI:10.1016/j.psyneuen.2024.107040
Ann-Marie G. de Lange , Esten H. Leonardsen , Claudia Barth , Louise S. Schindler , Arielle Crestol , Madelene C. Holm , Sivaniya Subramaniapillai , Dónal Hill , Dag Alnæs , Lars T. Westlye
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引用次数: 0

摘要

最近的研究表明,怀孕和为人父母的转变对人类大脑结构特征有显著影响。在此,我们对 36,323 名英国生物库参与者(年龄范围为 44.57-82.06 岁;52% 为女性)的父母状况和生育/养育子女数量与大脑和细胞老化标志物之间的联系进行了全面研究。为了评估养育子女对大脑的整体影响,我们在 T1 加权磁共振图像上训练了一个三维卷积神经网络,并在一个保持不变的测试集中估计了大脑年龄。为了研究区域特异性,我们使用FreeSurfer提取了皮层和皮层下体积,并根据协方差对区域体积进行了分层聚类。DNA 导出的白细胞端粒长度(LTL)被用作细胞老化的标记。我们采用线性回归模型来评估儿童数量、脑年龄、区域脑容量和LTL之间的关系,并加入交互项来探究相关关系中的性别差异。最后,我们将脑部指标和LTL作为二元分类模型的特征,以确定脑部和细胞老化的标志物是否能预测父母的状况。结果显示,在女性和男性中,生育/养育更多子女与更年轻的脑年龄之间存在关联,女性的影响更大。基于容积的分析表明,母亲的影响体现在纹状体和边缘区,而父亲则不明显。我们没有发现子女数量与LTL之间存在关联的证据。对父母状况的分类显示,脑年龄模型的ROC曲线下面积(AUC)为0.57,而使用区域脑容量和LTL作为预测因子的模型的AUC为0.52。我们的研究结果与之前对中老年父母进行的人群研究结果一致,揭示了父母的经历与基于神经影像的脑健康代用指标之间微妙但显著的关联。研究结果进一步证实了追踪父母怀孕和产后的纵向队列研究结果,这可能表明父母身份的转变与大脑健康的长期影响有关。
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Parental status and markers of brain and cellular age: A 3D convolutional network and classification study

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.

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来源期刊
Psychoneuroendocrinology
Psychoneuroendocrinology 医学-精神病学
CiteScore
7.40
自引率
8.10%
发文量
268
审稿时长
66 days
期刊介绍: Psychoneuroendocrinology publishes papers dealing with the interrelated disciplines of psychology, neurobiology, endocrinology, immunology, neurology, and psychiatry, with an emphasis on multidisciplinary studies aiming at integrating these disciplines in terms of either basic research or clinical implications. One of the main goals is to understand how a variety of psychobiological factors interact in the expression of the stress response as it relates to the development and/or maintenance of neuropsychiatric illnesses.
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