Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Boston College School of Social Work, Boston College, MA, USA.
Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
Dev Cogn Neurosci. 2021 Aug;50:100981. doi: 10.1016/j.dcn.2021.100981. Epub 2021 Jun 18.
Studies of infants growing up in high-income countries reveal developmental changes in electroencephalography (EEG) power whereby socioeconomic factors - specifically, low SES and low income - are associated with lower EEG power in infants aged newborn to nine months. In the current paper we explore relationships of spectral EEG power across three regions (frontal, central, and parietal) and four frequency bands (theta, alpha, beta, and gamma) with socioeconomic and psychosocial factors in a cohort of n = 160 6-month-old infants and n = 187 36-month-old children living in Dhaka, Bangladesh. Household wealth is assessed as a multi-dimensional composite score encompassing income, assets, and housing materials. Psychosocial factors include maternal perceived stress and family caregiving activities. Among the 6-month-old infants we do not observe any association of household wealth or psychosocial factors with EEG power. Among the 36-month-old children, we find that household wealth is negatively associated absolute power in the beta and gamma bands across frontal, central, and parietal electrodes. We also find that higher reports of maternal perceived stress are associated with more absolute theta power in frontal and central regions in the 36-month-old children. The finding of a negative relationship of household wealth with beta and gamma power in 36-month-old children differs from findings previously observed in infants in high-income countries. Overall, findings suggest that children's environment continues to influence the development of EEG oscillations and provide support for the utility of EEG to quantify developmental effects of early life experiences on neural functional outcomes in low income countries.
对高收入国家婴儿的研究揭示了脑电图(EEG)功率的发育变化,其中社会经济因素——特别是低社会经济地位和低收入——与新生儿至九个月大的婴儿的 EEG 功率较低有关。在目前的论文中,我们探索了在孟加拉国达卡的 160 名 6 个月大的婴儿和 187 名 36 个月大的儿童的三个区域(额区、中央区和顶区)和四个频带(θ、α、β和γ)的频谱 EEG 功率与社会经济和心理社会因素的关系。家庭财富被评估为一个多维综合评分,包括收入、资产和住房材料。心理社会因素包括母亲感知的压力和家庭照顾活动。在 6 个月大的婴儿中,我们没有观察到家庭财富或心理社会因素与 EEG 功率有任何关联。在 36 个月大的儿童中,我们发现家庭财富与额区、中央区和顶区电极的β和γ频带的绝对功率呈负相关。我们还发现,母亲感知的压力较高与 36 个月大的儿童额区和中央区的绝对θ功率增加有关。家庭财富与 36 个月大儿童β和γ功率呈负相关的发现与在高收入国家的婴儿中观察到的发现不同。总的来说,这些发现表明,儿童的环境继续影响 EEG 振荡的发展,并为使用 EEG 来量化早期生活经历对低收入国家神经功能结果的发育影响提供了支持。