教育机会的差异可预测白质发育情况

IF 4.6 2区 医学 Q1 NEUROSCIENCES
Ethan Roy , Amandine Van Rinsveld , Pierre Nedelec , Adam Richie-Halford , Andreas M. Rauschecker , Leo P. Sugrue , Ariel Rokem , Bruce D. McCandliss , Jason D. Yeatman
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引用次数: 0

摘要

父母收入或父母教育程度等社会经济地位的粗略衡量指标与白质发育的差异有关。然而,这些测量方法并不能深入了解个体所处环境的具体方面,以及这些方面与大脑发育的关系。另一方面,教育干预研究表明,个人教育环境的改变会导致白质发生可测量的变化。然而,这些研究很少在结果中考虑社会经济因素。在本研究中,我们考察了在控制其他已知社会经济因素的情况下,教育机会与白质发育之间的独特关系。为了探讨这个问题,我们利用了 ABCD 研究中丰富的人口统计学和神经影像学数据,以及 ABCD 和斯坦福教育数据档案(SEDA)之间独特的数据交叉。我们发现,即使考虑到其他社会经济因素,教育机会也与白质的加速发育有关,而且这种关系在与学术技能相关的白质束中最为明显。这些结果表明,孩子就读的学校与未来几年的大脑发育有着可测量的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differences in educational opportunity predict white matter development

Coarse measures of socioeconomic status, such as parental income or parental education, have been linked to differences in white matter development. However, these measures do not provide insight into specific aspects of an individual’s environment and how they relate to brain development. On the other hand, educational intervention studies have shown that changes in an individual’s educational context can drive measurable changes in their white matter. These studies, however, rarely consider socioeconomic factors in their results. In the present study, we examined the unique relationship between educational opportunity and white matter development, when controlling other known socioeconomic factors. To explore this question, we leveraged the rich demographic and neuroimaging data available in the ABCD study, as well the unique data-crosswalk between ABCD and the Stanford Education Data Archive (SEDA). We find that educational opportunity is related to accelerated white matter development, even when accounting for other socioeconomic factors, and that this relationship is most pronounced in white matter tracts associated with academic skills. These results suggest that the school a child attends has a measurable relationship with brain development for years to come.

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来源期刊
CiteScore
7.60
自引率
10.60%
发文量
124
审稿时长
6-12 weeks
期刊介绍: The journal publishes theoretical and research papers on cognitive brain development, from infancy through childhood and adolescence and into adulthood. It covers neurocognitive development and neurocognitive processing in both typical and atypical development, including social and affective aspects. Appropriate methodologies for the journal include, but are not limited to, functional neuroimaging (fMRI and MEG), electrophysiology (EEG and ERP), NIRS and transcranial magnetic stimulation, as well as other basic neuroscience approaches using cellular and animal models that directly address cognitive brain development, patient studies, case studies, post-mortem studies and pharmacological studies.
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