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      Exposure to multiple ambient air pollutants changes white matter microstructure during early adolescence with sex-specific differences

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          Abstract

          Background

          Air pollution is ubiquitous, yet questions remain regarding its impact on the developing brain. Large changes occur in white matter microstructure across adolescence, with notable differences by sex.

          Methods

          We investigate sex-stratified effects of annual exposure to fine particulate matter (PM 2.5), nitrogen dioxide (NO 2), and ozone (O 3) at ages 9–10 years on longitudinal patterns of white matter microstructure over a 2-year period. Diffusion-weighted imaging was collected on 3T MRI scanners for 8182 participants (1–2 scans per subject; 45% with two scans) from the Adolescent Brain Cognitive Development (ABCD) Study®. Restriction spectrum imaging was performed to quantify intracellular isotropic (RNI) and directional (RND) diffusion. Ensemble-based air pollution concentrations were assigned to each child’s primary residential address. Multi-pollutant, sex-stratified linear mixed-effect models assessed associations between pollutants and RNI/RND with age over time, adjusting for sociodemographic factors.

          Results

          Here we show higher PM 2.5 exposure is associated with higher RND at age 9 in both sexes, with no significant effects of PM 2.5 on RNI/RND change over time. Higher NO 2 exposure is associated with higher RNI at age 9 in both sexes, as well as attenuating RNI over time in females. Higher O 3 exposure is associated with differences in RND and RNI at age 9, as well as changes in RND and RNI over time in both sexes.

          Conclusions

          Criteria air pollutants influence patterns of white matter maturation between 9–13 years old, with some sex-specific differences in the magnitude and anatomical locations of affected tracts. This occurs at concentrations that are below current U.S. standards, suggesting exposure to low-level pollution during adolescence may have long-term consequences.

          Plain language summary

          Air pollution is known to affect health, but it is unclear whether it affects the growing human brain. We investigated whether there were differences in the development of white matter connections, which allow for faster communication between different brain regions, in children aged 9-13 years living in areas with relatively low or high air pollution in the USA. In a large group of U.S. teens, we find that polluted air is linked to differences in white matter at ages 9-10 years old and over the next two years. In some cases, males and females showed differences in the part of the brain showing changes and the amount of white matter change. Our study suggests that air pollution levels that are deemed acceptable under current regulations in the USA could have long-term effects on how a child’s brain grows. Further studies are needed to better understand the impact of these changes.

          Abstract

          Cotter et al. investigate associations between low levels of ambient pollutant exposure and white matter microstructural development during the transition from childhood to adolescence. There are sex-stratified associations, with NO 2 primarily affecting females and O 3 affecting both sexes over time.

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          Most cited references88

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          Fitting Linear Mixed-Effects Models Usinglme4

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            The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites

            The ABCD study is recruiting and following the brain development and health of over 10,000 9–10 year olds through adolescence. The imaging component of the study was developed by the ABCD Data Analysis and Informatics Center (DAIC) and the ABCD Imaging Acquisition Workgroup. Imaging methods and assessments were selected, optimized and harmonized across all 21 sites to measure brain structure and function relevant to adolescent development and addiction. This article provides an overview of the imaging procedures of the ABCD study, the basis for their selection and preliminary quality assurance and results that provide evidence for the feasibility and age-appropriateness of procedures and generalizability of findings to the existent literature.
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              Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI.

              Parallel imaging in the form of multiband radiofrequency excitation, together with reduced k-space coverage in the phase-encode direction, was applied to human gradient echo functional MRI at 7 T for increased volumetric coverage and concurrent high spatial and temporal resolution. Echo planar imaging with simultaneous acquisition of four coronal slices separated by 44mm and simultaneous 4-fold phase-encoding undersampling, resulting in 16-fold acceleration and up to 16-fold maximal aliasing, was investigated. Task/stimulus-induced signal changes and temporal signal behavior under basal conditions were comparable for multiband and standard single-band excitation and longer pulse repetition times. Robust, whole-brain functional mapping at 7 T, with 2 x 2 x 2mm(3) (pulse repetition time 1.25 sec) and 1 x 1 x 2mm(3) (pulse repetition time 1.5 sec) resolutions, covering fields of view of 256 x 256 x 176 mm(3) and 192 x 172 x 176 mm(3), respectively, was demonstrated with current gradient performance. (c) 2010 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                herting@usc.edu
                Journal
                Commun Med (Lond)
                Commun Med (Lond)
                Communications Medicine
                Nature Publishing Group UK (London )
                2730-664X
                1 August 2024
                1 August 2024
                2024
                : 4
                : 155
                Affiliations
                [1 ]Neuroscience Graduate Program, University of Southern California, ( https://ror.org/03taz7m60) Los Angeles, CA USA
                [2 ]Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, ( https://ror.org/03taz7m60) Los Angeles, CA USA
                [3 ]Department of Psychology, Florida International University, ( https://ror.org/02gz6gg07) Miami, FL USA
                [4 ]Department of Biostatistics, Columbia University Mailman School of Public Health, ( https://ror.org/00hj8s172) New York, NY USA
                [5 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Environmental Health, , Harvard T.H. Chan School of Public Health, ; Boston, MA USA
                [6 ]USC Suzanne Dworak-Peck School of Social Work, University of Southern California, ( https://ror.org/03taz7m60) Los Angeles, CA USA
                [7 ]GRID grid.42505.36, ISNI 0000 0001 2156 6853, Department of Neurology, , Keck School of Medicine of University of Southern California, ; Los Angeles, CA USA
                [8 ]Children’s Hospital Los Angeles, ( https://ror.org/00412ts95) Los Angeles, CA USA
                Author information
                http://orcid.org/0000-0001-9955-7367
                http://orcid.org/0000-0002-6736-3020
                http://orcid.org/0000-0001-6168-378X
                http://orcid.org/0000-0002-6968-5701
                http://orcid.org/0000-0002-0840-4582
                Article
                576
                10.1038/s43856-024-00576-x
                11294340
                39090375
                9852eb85-280c-463c-85dc-67ac0591133a
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 9 August 2023
                : 9 July 2024
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000066, U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS);
                Award ID: P30ES007048-23S1
                Award ID: 3P30ES000002-55S1
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS)
                Funded by: U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS)
                Funded by: U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS)
                Funded by: FundRef https://doi.org/10.13039/100000139, U.S. Environmental Protection Agency (US Environmental Protection Agency);
                Award ID: RD 83587201
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100009633, U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD);
                Funded by: U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS)
                Funded by: FundRef https://doi.org/10.13039/100000910, Conrad N. Hilton Foundation (CNHF);
                Funded by: U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS)
                Funded by: FundRef https://doi.org/10.13039/100000049, U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging);
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                © Springer Nature Limited 2024

                cognitive neuroscience,nervous system,stress and resilience

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