Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom.
Department of Psychology, Royal Holloway, University of London, United Kingdom.
Dev Cogn Neurosci. 2021 Apr;48:100888. doi: 10.1016/j.dcn.2020.100888. Epub 2020 Dec 24.
Previous studies have identified localized associations between childhood environment - namely their socio-economic status (SES) - and particular neural structures. The primary aim of the current study was to test whether associations between SES and brain structure are widespread or limited to specific neural pathways. We employed advances in whole-brain structural connectomics to address this. Diffusion tensor imaging was used to construct whole-brain connectomes in 113 6-12 year olds. We then applied an adapted multi-block partial-least squares (PLS) regression to explore how connectome organisation is associated with childhood SES (parental income, education levels, and neighbourhood deprivation). The Fractional Anisotropy (FA) connectome was significantly associated with childhood SES and this effect was widespread. We then pursued a secondary aim, and demonstrated that the connectome mediated the relationship between SES and cognitive ability (matrix reasoning and vocabulary). However, the connectome did not significantly mediate SES relationships with academic ability (maths and reading) or internalising and externalising behavior. This multivariate approach is important for advancing our theoretical understanding of how brain development may be shaped by childhood environment, and the role that it plays in predicting key outcomes. We also discuss the limitations with this new methodological approach.
先前的研究已经确定了儿童环境(即其社会经济地位(SES))与特定神经结构之间的局部关联。目前研究的主要目的是检验 SES 与大脑结构之间的关联是广泛存在的,还是仅限于特定的神经通路。我们采用了全脑结构连接组学的进展来解决这个问题。在 113 名 6-12 岁儿童中,我们使用弥散张量成像构建了全脑连接组。然后,我们应用了改进的多块偏最小二乘(PLS)回归来探讨连接组组织如何与儿童 SES(父母收入、教育水平和邻里贫困程度)相关。各向异性分数(FA)连接组与儿童 SES 显著相关,且这种影响具有普遍性。然后,我们进行了次要目标的研究,证明了连接组介导了 SES 与认知能力(矩阵推理和词汇)之间的关系。然而,连接组并不能显著介导 SES 与学术能力(数学和阅读)或内外化行为之间的关系。这种多变量方法对于推进我们对大脑发育如何可能受到儿童环境塑造的理论理解以及它在预测关键结果中的作用非常重要。我们还讨论了这种新方法的局限性。