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A general exposome factor explains individual differences in functional brain network topography and cognition in youth
Developmental Cognitive Neuroscience ( IF 4.7 ) Pub Date : 2024-04-02 , DOI: 10.1016/j.dcn.2024.101370
Arielle S. Keller , Tyler M. Moore , Audrey Luo , Elina Visoki , Mārtiņš M. Gataviņš , Alisha Shetty , Zaixu Cui , Yong Fan , Eric Feczko , Audrey Houghton , Hongming Li , Allyson P. Mackey , Oscar Miranda-Dominguez , Adam Pines , Russell T. Shinohara , Kevin Y. Sun , Damien A. Fair , Theodore D. Satterthwaite , Ran Barzilay

Childhood environments are critical in shaping cognitive neurodevelopment. With the increasing availability of large-scale neuroimaging datasets with deep phenotyping of childhood environments, we can now build upon prior studies that have considered relationships between one or a handful of environmental and neuroimaging features at a time. Here, we characterize the combined effects of hundreds of inter-connected and co-occurring features of a child’s environment (“exposome”) and investigate associations with each child’s unique, multidimensional pattern of functional brain network organization (“functional topography”) and cognition. We apply data-driven computational models to measure the exposome and define personalized functional brain networks in pre-registered analyses. Across matched discovery (n=5139, 48.5% female) and replication (n=5137, 47.1% female) samples from the Adolescent Brain Cognitive Development study, the exposome was associated with current (ages 9–10) and future (ages 11–12) cognition. Changes in the exposome were also associated with changes in cognition after accounting for baseline scores. Cross-validated ridge regressions revealed that the exposome is reflected in functional topography and can predict performance across cognitive domains. Importantly, a single measure capturing a child’s exposome could more accurately and parsimoniously predict cognition than a wealth of personalized neuroimaging data, highlighting the importance of children’s complex, multidimensional environments in cognitive neurodevelopment.

中文翻译:

一般暴露因素解释了青少年功能性脑网络拓扑和认知的个体差异

童年环境对于塑造认知神经发育至关重要。随着对儿童环境进行深入表型分析的大规模神经影像数据集的可用性不断增加,我们现在可以在先前的研究的基础上,这些研究一次考虑了一个或少数环境与神经影像特征之间的关系。在这里,我们描述了儿童环境中数百个相互关联和同时发生的特征(“暴露组”)的综合影响,并研究了每个孩子独特的、多维的功能性大脑网络组织模式(“功能拓扑”)和认知之间的关联。我们应用数据驱动的计算模型来测量暴露组并在预先注册的分析中定义个性化的功能性大脑网络。在青少年大脑认知发展研究的匹配发现样本(n=5139,48.5% 女性)和复制样本(n=5137,47.1% 女性)中,暴露组与当前(9-10 岁)和未来(11-11 岁)相关。 12)认知。考虑基线分数后,暴露组的变化也与认知变化相关。交叉验证的岭回归表明,暴露组反映在功能拓扑中,并且可以预测跨认知领域的表现。重要的是,与大量个性化神经影像数据相比,捕获儿童暴露组的单一测量可以更准确、更简洁地预测认知,这凸显了儿童复杂的多维环境在认知神经发育中的重要性。
更新日期:2024-04-02
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