父母的教育程度和收入与后代 9-11 岁时的大脑皮层结构和精神病理学有关

JCPP advances Pub Date : 2024-02-06 DOI:10.1002/jcv2.12220
Linn B. Norbom, Jaroslav Rokicki, Espen M. Eilertsen, Thea Wiker, Jamie Hanson, Andreas Dahl, Dag Alnæs, Sara Fernández-Cabello, Dani Beck, Ingrid Agartz, Ole A. Andreassen, Lars T. Westlye, Christian K. Tamnes
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引用次数: 0

摘要

背景 儿童所处的社会经济环境会影响他们生活的方方面面,包括容易患上精神疾病。青少年时期的负面环境影响可能会干扰此时广泛而动态的大脑发育。事实上,关于父母的社会经济地位(SES)与儿童大脑皮层形态测量之间的关系有许多不同的报道。这些研究大多采用单一指标或单模式分析标准皮质形态测量,而忽略了多种生物学途径可能共同导致青少年皮质差异与社会经济地位相关的情况。 方法 为了全面捕捉这种变异性,我们利用 ABCD 研究®中 9758 名 8.9-11.1 岁儿童的数据,采用了关联独立成分分析法(LICA),并融合了顶点皮层厚度、表面积、曲率和灰质/白质对比度(GWC)。LICA 发现了 70 个单模式和多模式成分。然后,我们评估了父母教育程度、父母收入与大脑皮层各组成部分之间的线性关系,并控制了年龄、性别、遗传血统和家庭亲缘关系。我们还评估了大脑皮层结构是否调节了父母社会经济地位与儿童一般精神病理学之间的负相关。 结果 父母的教育程度和收入都与更大的表面积和更高的整体 GWC 相关,此外还与局部表面积的增加相关,在较小程度上与双向 GWC 和皮层厚度模式相关。在额叶表面积较大、枕叶表面积较小、内侧枕叶厚度和 GWC 较低的多模态模式中,父母收入与儿童精神病理学之间的负相关减弱。 结论 大脑结构磁共振成像对儿童期社会经济地位的多样性很敏感,GWC 与表面积一起成为一个特别相关的标记。在低收入家庭中,大脑皮层的核磁共振成像指标更发达,似乎对心理健康有益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Parental education and income are linked to offspring cortical brain structure and psychopathology at 9–11 years

Background

A child's socioeconomic environment can shape central aspects of their life, including vulnerability to mental disorders. Negative environmental influences in youth may interfere with the extensive and dynamic brain development occurring at this time. Indeed, there are numerous yet diverging reports of associations between parental socioeconomic status (SES) and child cortical brain morphometry. Most of these studies have used single metric- or unimodal analyses of standard cortical morphometry that downplay the probable scenario where numerous biological pathways in sum account for SES-related cortical differences in youth.

Methods

To comprehensively capture such variability, using data from 9758 children aged 8.9–11.1 years from the ABCD Study®, we employed linked independent component analysis (LICA) and fused vertex-wise cortical thickness, surface area, curvature and grey-/white-matter contrast (GWC). LICA revealed 70 uni- and multimodal components. We then assessed the linear relationships between parental education, parental income and each of the cortical components, controlling for age, sex, genetic ancestry, and family relatedness. We also assessed whether cortical structure moderated the negative relationships between parental SES and child general psychopathology.

Results

Parental education and income were both associated with larger surface area and higher GWC globally, in addition to local increases in surface area and to a lesser extent bidirectional GWC and cortical thickness patterns. The negative relation between parental income and child psychopathology were attenuated in children with a multimodal pattern of larger frontal- and smaller occipital surface area, and lower medial occipital thickness and GWC.

Conclusion

Structural brain MRI is sensitive to SES diversity in childhood, with GWC emerging as a particularly relevant marker together with surface area. In low-income families, having a more developed cortex across MRI metrics, appears beneficial for mental health.

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