Zundel Clara G, Ely Samantha, Brokamp Cole, Strawn Jeffrey R, Jovanovic Tanja, Ryan Patrick, Marusak Hilary A
Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, USA.
Translational Neuroscience Program, Wayne State University, Detroit, Michigan, USA.
Brain Connect. 2024 Aug;14(6):307-318. doi: 10.1089/brain.2023.0072. Epub 2024 Jul 3.
Air pollution exposure has been associated with adverse cognitive and mental health outcomes in children, adolescents, and adults, although youth may be particularly susceptible given ongoing brain development. However, the neurodevelopmental mechanisms underlying the associations among air pollution, cognition, and mental health remain unclear. We examined the impact of particulate matter (PM) on resting-state functional connectivity (rsFC) of the default mode network (DMN) and three key attention networks: dorsal attention, ventral attention, and cingulo-opercular. Longitudinal changes in rsFC within/between networks were assessed from baseline (9-10 years) to the 2-year follow-up (11-12 years) in 10,072 youth ( = 9.93 + 0.63 years; 49% female) from the Adolescent Brain Cognitive Development (ABCD) study. Annual ambient PM concentrations from the 2016 calendar year were estimated using hybrid ensemble spatiotemporal models. RsFC was estimated using functional neuroimaging. Linear mixed models were used to test associations between PM and change in rsFC over time while adjusting for relevant covariates (e.g., age, sex, race/ethnicity, parental education, and family income) and other air pollutants (O, NO). A PM × time interaction was significant for within-network rsFC of the DMN such that higher PM concentrations were associated with a smaller increase in rsFC over time. Further, significant PM × time interactions were observed for between-network rsFC of the DMN and all three attention networks, with varied directionality. PM exposure was associated with alterations in the development and equilibrium of the DMN-a network implicated in self-referential processing-and anticorrelated attention networks, which may impact trajectories of cognitive and mental health symptoms across adolescence.
空气污染暴露已被证明与儿童、青少年及成年人的认知和心理健康不良后果相关,尽管鉴于大脑仍在发育,青少年可能尤其易受影响。然而,空气污染、认知和心理健康之间关联的神经发育机制仍不清楚。我们研究了颗粒物(PM)对默认模式网络(DMN)以及三个关键注意力网络(背侧注意力网络、腹侧注意力网络和扣带 - 脑岛网络)静息态功能连接(rsFC)的影响。在青少年大脑认知发展(ABCD)研究中,对10,072名青少年(平均年龄 = 9.93 ± 0.63岁;49%为女性)从基线期(9 - 10岁)到2年随访期(11 - 12岁)期间网络内/网络间rsFC的纵向变化进行了评估。使用混合集合时空模型估算了2016日历年的年度环境PM浓度。rsFC通过功能神经成像进行估算。在调整了相关协变量(如年龄、性别、种族/民族、父母教育程度和家庭收入)以及其他空气污染物(O、NO)后,使用线性混合模型来测试PM与rsFC随时间变化之间的关联。DMN网络内rsFC的PM×时间交互作用显著,即较高的PM浓度与rsFC随时间的较小增加相关。此外,在DMN与所有三个注意力网络的网络间rsFC中观察到显著的PM×时间交互作用,且方向各异。PM暴露与DMN(一个涉及自我参照加工的网络)以及反相关注意力网络的发育和平衡改变有关,这可能会影响整个青春期的认知和心理健康症状轨迹。