Sandre Aislinn, Troller-Renfree Sonya V, Giebler Melissa A, Meyer Jerrold S, Noble Kimberly G
Department of Biobehavioral Sciences, Teachers College, Columbia University, 525W 120th Street, Russell Hall 21, New York, NY, 10027, USA.
Department of Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
Sci Rep. 2024 Jun 13;14(1):13638. doi: 10.1038/s41598-024-64498-3.
Childhood socioeconomic disadvantage is associated with disparities in development and health, possibly through adaptations in children's brain function. However, it is not clear how early in development such neural adaptations might emerge. This study examined whether prenatal family socioeconomic status, operationalized as family income and average years of parental education, prospectively predicts individual differences in infant resting electroencephalography (EEG; theta, alpha, beta, and gamma power) at approximately 1 month of age (N = 160). Infants of mothers reporting lower family income showed more lower-frequency (theta) and less higher-frequency (beta and gamma) power. These associations held when adjusting for other prenatal and postnatal experiences, as well as infant demographic and health-related factors. In contrast, parental education was not significantly associated with infant EEG power in any frequency band. These data suggest that lower prenatal family income is associated with developmental differences in brain function that are detectable within the first month of life.
儿童时期的社会经济劣势与发育和健康方面的差异有关,可能是通过儿童大脑功能的适应性变化。然而,目前尚不清楚这种神经适应性变化在发育早期可能何时出现。本研究调查了以家庭收入和父母平均受教育年限衡量的产前家庭社会经济地位是否能前瞻性地预测约1月龄婴儿静息脑电图(EEG;θ波、α波、β波和γ波功率)的个体差异(N = 160)。报告家庭收入较低的母亲所生的婴儿表现出更多的低频(θ波)功率和更少的高频(β波和γ波)功率。在调整了其他产前和产后经历以及婴儿人口统计学和健康相关因素后,这些关联依然存在。相比之下,父母受教育程度与任何频段的婴儿EEG功率均无显著关联。这些数据表明,产前家庭收入较低与出生后第一个月内即可检测到的大脑功能发育差异有关。