Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Environ Int. 2023 Jul;177:108001. doi: 10.1016/j.envint.2023.108001. Epub 2023 Jun 1.
Air pollution is linked to neurodevelopmental delays, but its association with longitudinal changes in brain network development has yet to be investigated. We aimed to characterize the effect of PM, O, and NO exposure at ages 9-10 years on changes in functional connectivity (FC) over a 2-year follow-up period, with a focus on the salience (SN), frontoparietal (FPN), and default-mode (DMN) brain networks as well as the amygdala and hippocampus given their importance in emotional and cognitive functioning.
A sample of children (N = 9,497; with 1-2 scans each for a total of 13,824 scans; 45.6% with two brain scans) from the Adolescent Brain Cognitive Development (ABCD) Study® were included. Annual averages of pollutant concentrations were assigned to the child's primary residential address using an ensemble-based exposure modeling approach. Resting-state functional MRI was collected on 3T MRI scanners. First, developmental linear mixed-effect models were performed to characterize typical FC development within our sample. Next, single- and multi-pollutant linear mixed-effect models were constructed to examine the association between exposure and intra-network, inter-network, and subcortical-to-network FC change over time, adjusting for sex, race/ethnicity, income, parental education, handedness, scanner type, and motion.
Developmental profiles of FC over the 2-year follow-up included intra-network integration within the DMN and FPN as well as inter-network integration between the SN-FPN; along with intra-network segregation in the SN as well as subcortical-to-network segregation more broadly. Higher PM exposure resulted in greater inter-network and subcortical-to-network FC over time. In contrast, higher O concentrations resulted in greater intra-network, but less subcortical-to-network FC over time. Lastly, higher NO exposure led to less inter-network and subcortical-to-network FC over the 2-year follow-up period.
Taken together, PM, O, and NO exposure in childhood relate to distinct changes in patterns of network maturation over time. This is the first study to show outdoor ambient air pollution during childhood is linked to longitudinal changes in brain network connectivity development.
空气污染与神经发育迟缓有关,但它与大脑网络发育的纵向变化之间的关联尚未得到研究。我们的目的是描述 9-10 岁时 PM、O 和 NO 暴露对两年随访期间功能连接(FC)变化的影响,重点关注突显(SN)、额顶网络(FPN)和默认模式(DMN)网络,以及杏仁核和海马体,因为它们在情绪和认知功能中很重要。
我们纳入了来自青少年大脑认知发展研究(ABCD 研究)的儿童样本(N=9497;每人有 1-2 次扫描,共 13824 次扫描;45.6%的人有两次大脑扫描)。使用基于集合的暴露建模方法,将污染物浓度的年平均值分配给儿童的主要居住地址。使用 3T MRI 扫描仪采集静息态功能磁共振成像。首先,我们在样本中进行了发展性线性混合效应模型,以描述典型的 FC 发育。接下来,构建了单污染物和多污染物线性混合效应模型,以检验暴露与随时间变化的内网络、内-外网络和皮质下-网络 FC 变化之间的关联,同时调整性别、种族/民族、收入、父母教育程度、利手、扫描仪类型和运动。
在两年的随访中,FC 的发展轨迹包括 DMN 和 FPN 内的内网络整合,以及 SN-FPN 之间的内-外网络整合;以及 SN 内的内网络分离以及更广泛的皮质下-网络分离。较高的 PM 暴露导致随时间推移,网络间和皮质下-网络间的 FC 增加。相比之下,较高的 O 浓度导致随时间推移,内网络但皮质下-网络间的 FC 减少。最后,较高的 NO 暴露导致在两年的随访期间,网络间和皮质下-网络间的 FC 减少。
总的来说,儿童时期的 PM、O 和 NO 暴露与随时间推移的网络成熟模式的不同变化有关。这是第一项表明儿童时期室外环境空气污染与大脑网络连接发展的纵向变化有关的研究。