1. Exposure to traffic-related air pollution and noise during pregnancy and childhood, and functional brain connectivity in preadolescents
- Author
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Laura, Pérez-Crespo, Michelle S W, Kusters, Mónica, López-Vicente, Małgorzata J, Lubczyńska, Maria, Foraster, Tonya, White, Gerard, Hoek, Henning, Tiemeier, Ryan L, Muetzel, Mònica, Guxens, Child and Adolescent Psychiatry / Psychology, and Radiology & Nuclear Medicine
- Subjects
Transportation noise ,Air Pollutants ,Child neurodevelopment ,Brain ,Environmental Exposure ,Brain development ,Environmental pollution ,Noise, Transportation ,Pregnancy ,Air Pollution ,Humans ,Female ,Particulate Matter ,Child ,Functional MRI ,SDG 15 - Life on Land ,General Environmental Science - Abstract
Background: The amount of people affected by traffic-related air pollution and noise is continuously increasing, but limited research has been conducted on the association between these environmental exposures and functional brain connectivity in children. Objective: This exploratory study aimed to analyze the associations between the exposure to traffic-related air pollution and noise during pregnancy and childhood, and functional brain connectivity amongst a wide-swath of brain areas in preadolescents from 9 to 12 years of age. Methods: We used data of 2,197 children from the Generation R Study. Land use regression models were applied to estimate nitrogen oxides and particulate matter levels at participant's homes for several time periods: pregnancy, birth to 3 years, 3 to 6 years, and 6 years of age to the age at magnetic resonance imaging (MRI) assessment. Existing noise maps were used to estimate road traffic noise exposure at participant's homes for the same time periods. Resting-state functional MRI was obtained at 9-12 years of age. Pair-wise correlation coefficients of the blood-oxygen-level-dependent signals between 380 brain areas were calculated. Linear regressions were run and corrected for multiple testing. Results: Preadolescents exposed to higher levels of NO2, NOx, and PM2.5 absorbance, from birth to 3 years, and from 3 to 6 years of age showed higher correlation coefficients among several brain regions (e.g. from 0.16 to 0.19 higher correlation coefficient related to PM2.5 absorbance exposure, depending on the brain connection). Overall, most identified associations were between brain regions of the task positive and task negative networks, and were mainly inter-network (20 of 26). Slightly more than half of the connections were intra-hemispheric (14 of 26), predominantly in the right hemisphere. Road traffic noise was not associated with functional brain connectivity. Conclusions: This exploratory study found that exposure to traffic-related air pollution during the first years of life was related to higher functional brain connectivity predominantly in brain areas located in the task positive and task negative networks, in preadolescents from 9 to 12 years of age. These results could be an indicator of differential functional connectivity in children exposed to higher levels of air pollution. Air pollution exposure assessment was possible by funding from the European Community’s Seventh Framework Program (GA#211250, GA#243406). In addition, the study was made possible by financial support from the Netherlands Organization for Health Research and Development (ZonMW Geestkracht Program 10.000.1003 & ZonMw TOP 40–00812-98–11021). The neuroimaging and neuroimaging infrastructure was funded via TOP project number 91,211,021 to Tonya White and and Sophia Foundation S18-20 awarded to Ryan Muetzel. Supercomputing computations for imaging processing were supported by the NWO Physical Sciences Division (Exacte Wetenschappen) and SURFsara (Cartesius compute cluster, https://www.surfsara.nl). Mònica Guxens received funding from the Spanish Institute of Health Carlos III (CPII18/00018, PI17/01340). Henning Tiemeier received funding from the Netherlands Organization for Health Research and Development (NWO-grant 016.VICI.170.200). Maria Foraster is a beneficiary of an AXA Research Fund grant. Mónica López-Vicente was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 707404.
- Published
- 2022