Morrel Jessica, Overholtzer L Nate, Sukumaran Kirthana, Cotter Devyn L, Cardenas-Iniguez Carlos, Tyszka J Michael, Schwartz Joel, Hackman Daniel A, Chen Jiu-Chiuan, Herting Megan M
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA.
bioRxiv. 2024 Oct 17:2024.10.14.617429. doi: 10.1101/2024.10.14.617429.
Outdoor air pollution is associated with an increased risk for psychopathology. Although the neural mechanisms remain unclear, air pollutants may impact mental health by altering limbic brain regions, such as the amygdala. Here, we examine the association between ambient air pollution exposure and amygdala subregion volumes in 9-10-year-olds.
Cross-sectional Adolescent Brain Cognitive Development (ABCD) Study data from 4,473 participants (55.4% male) were leveraged. Air pollution was estimated for each participant's primary residential address. Using the probabilistic CIT168 atlas, we quantified total amygdala and 9 distinct subregion volumes from T1- and T2-weighted images. First, we examined how criteria pollutants (i.e., fine particulate matter [PM], nitrogen dioxide, ground-level ozone) and 15 PM components related with total amygdala volumes using linear mixed-effect (LME) regression. Next, partial least squares correlation (PLSC) analyses were implemented to identify relationships between co-exposure to criteria pollutants as well as PM components and amygdala subregion volumes. We also conducted complementary analyses to assess subregion apportionment using amygdala relative volume fractions (RVFs).
No significant associations were detected between pollutants and total amygdala volumes. Using PLSC, one latent dimension (LD) (52% variance explained) captured a positive association between calcium and several basolateral subregions. LDs were also identified for amygdala RVFs (ranging from 30% to 82% variance explained), with PM and component co-exposure associated with increases in lateral, but decreases in medial and central, RVFs.
Fine particulate and its components are linked with distinct amygdala differences, potentially playing a role in risk for adolescent mental health problems.
室外空气污染与精神病理学风险增加有关。尽管神经机制尚不清楚,但空气污染物可能通过改变边缘脑区(如杏仁核)来影响心理健康。在此,我们研究了9至10岁儿童环境空气污染暴露与杏仁核亚区体积之间的关联。
利用来自4473名参与者(55.4%为男性)的横断面青少年大脑认知发展(ABCD)研究数据。估算了每位参与者主要居住地址的空气污染情况。使用概率CIT168图谱,我们从T1加权和T2加权图像中量化了杏仁核总体积和9个不同亚区的体积。首先,我们使用线性混合效应(LME)回归研究了标准污染物(即细颗粒物[PM]、二氧化氮、地面臭氧)和15种PM成分与杏仁核总体积的关系。接下来,实施偏最小二乘相关(PLSC)分析,以确定标准污染物以及PM成分共同暴露与杏仁核亚区体积之间的关系。我们还进行了补充分析,以使用杏仁核相对体积分数(RVF)评估亚区分配情况。
未检测到污染物与杏仁核总体积之间存在显著关联。使用PLSC,一个潜在维度(LD)(解释了52%的方差)显示钙与几个基底外侧亚区之间存在正相关。还确定了杏仁核RVF的LD(解释的方差范围为30%至82%),PM和成分共同暴露与外侧RVF增加相关,但与内侧和中央RVF减少相关。
细颗粒物及其成分与杏仁核的明显差异有关,可能在青少年心理健康问题风险中起作用。