{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T08:28:10Z","timestamp":1791361690078,"version":"4.3.1"},"reference-count":33,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T00:00:00Z","timestamp":1584057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Brain Sciences"],"abstract":"<jats:p>Total brain gray-matter and white-matter volumes can be indicators of overall brain health. Among the factors associated with gray-matter and white-matter volumes is exposure to air pollution. Using data from the UK Biobank, we sought to determine associations between several components of air pollution\u2014PM2.5, PM2.5\u201310, PM10, nitrogen dioxide, and nitrogen oxides\u2014and total gray-matter and total white-matter volumes in multivariable regression models in a large sample of adults. We found significant inverse associations between PM2.5 concentration and total white-matter volume and between PM2.5, PM2.5\u201310, PM10, nitrogen dioxide, and nitrogen oxide concentrations and total gray-matter volume in models adjusted for age, sex, body-mass index, self-assessment of overall health, frequency of alcohol use, smoking status, educational attainment, and income. These findings of pollutant-associated decreases in total gray-matter and total white-matter volumes are in the context of mean PM2.5 concentrations near the upper limit of the World Health Organization\u2019s recommendations. Similarly, mean PM10 concentrations were below the recommended upper limit, and nitrogen dioxide concentration was slightly above. Still, there are many areas in the world with much higher concentrations of these pollutants, which could be associated with larger effects. If replicated, these findings suggest that air pollution could be a risk factor for neurodegeneration.<\/jats:p>","DOI":"10.3390\/brainsci10030164","type":"journal-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T08:58:59Z","timestamp":1584089939000},"page":"164","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Association between Exposure to Air Pollution and Total Gray Matter and Total White Matter Volumes in Adults: A Cross-Sectional Study"],"prefix":"10.3390","volume":"10","author":[{"given":"Lance D.","family":"Erickson","sequence":"first","affiliation":[{"name":"Department of Sociology, Brigham Young University, Provo, UT 84602, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8989-0964","authenticated-orcid":false,"given":"Shawn D.","family":"Gale","sequence":"additional","affiliation":[{"name":"Department of Psychology, Brigham Young University, Provo, UT 84602, USA"},{"name":"The Neuroscience Center, Brigham Young University, Provo, UT 84602, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacqueline E.","family":"Anderson","sequence":"additional","affiliation":[{"name":"The Neuroscience Center, Brigham Young University, Provo, UT 84602, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruce L.","family":"Brown","sequence":"additional","affiliation":[{"name":"Department of Psychology, Brigham Young University, Provo, UT 84602, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dawson W.","family":"Hedges","sequence":"additional","affiliation":[{"name":"Department of Psychology, Brigham Young University, Provo, UT 84602, USA"},{"name":"The Neuroscience Center, Brigham Young University, Provo, UT 84602, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,3,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"95","DOI":"10.3389\/fpubh.2018.00095","article-title":"Severe Urban Outdoor Air Pollution and Children\u2019s Structural and Functional Brain Development, From Evidence to Precautionary Strategic Action","volume":"6","year":"2018","journal-title":"Front. Public Health"},{"key":"ref_2","unstructured":"WHO (2019, September 05). Ambient (Outdoor) Air Quality and Health. Available online: https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/ambient-(outdoor)-air-quality-and-health."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.envint.2014.10.005","article-title":"A review on the human health impact of airborne particulate matter","volume":"74","author":"Kim","year":"2015","journal-title":"Environ. Int."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1016\/j.acvd.2017.05.003","article-title":"Cardiovascular effects of air pollution","volume":"110","author":"Bourdrel","year":"2017","journal-title":"Arch. Cardiovasc. Dis."},{"key":"ref_5","first-page":"16","article-title":"Clinical effects of air pollution on the central nervous system; a review","volume":"43","author":"Babadjouni","year":"2017","journal-title":"J. Clin. Neurosci. Off. J. Neurosurg. Soc. Australas."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1080\/01926230490520232","article-title":"Brain inflammation and Alzheimer\u2019s-like pathology in individuals exposed to severe air pollution","volume":"32","author":"Reed","year":"2004","journal-title":"Toxicol. Pathol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.neuro.2015.11.008","article-title":"Neurotoxicity of traffic-related air pollution","volume":"59","author":"Costa","year":"2017","journal-title":"Neurotoxicology"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.biopsych.2018.01.016","article-title":"Air Pollution Exposure During Fetal Life, Brain Morphology, and Cognitive Function in School-Age Children","volume":"84","author":"Guxens","year":"2018","journal-title":"Biol. Psychiatry"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.neuro.2019.06.005","article-title":"Association between exposure to air pollution and hippocampal volume in adults in the UK Biobank","volume":"74","author":"Hedges","year":"2019","journal-title":"Neurotoxicology"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1002\/ana.24460","article-title":"Ambient air pollution and neurotoxicity on brain structure: Evidence from women\u2019s health initiative memory study","volume":"78","author":"Chen","year":"2015","journal-title":"Ann. Neurol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1007\/s40572-018-0209-9","article-title":"The Effects of Air Pollution on the Brain: A Review of Studies Interfacing Environmental Epidemiology and Neuroimaging","volume":"5","author":"Mercader","year":"2018","journal-title":"Curr. Environ. Health Rep."},{"key":"ref_12","first-page":"389","article-title":"The impact of air pollution to central nervous system in children and adults","volume":"38","author":"Sram","year":"2017","journal-title":"Neuro Endocrinol. Lett."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1161\/STROKEAHA.114.008348","article-title":"Long-term exposure to fine particulate matter, residential proximity to major roads and measures of brain structure","volume":"46","author":"Wilker","year":"2015","journal-title":"Stroke"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.neubiorev.2015.09.017","article-title":"Meta-analysis of associations between human brain volume and intelligence differences: How strong are they and what do they mean?","volume":"57","author":"Pietschnig","year":"2015","journal-title":"Neurosci. Biobehav. Rev."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1093\/aje\/kwu155","article-title":"Fine particulate matter air pollution and cognitive function among older US adults","volume":"180","author":"Ailshire","year":"2014","journal-title":"Am. J. Epidemiol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3473","DOI":"10.1210\/en.2015-1403","article-title":"Air Pollution and Neuropsychological Development: A Review of the Latest Evidence","volume":"156","author":"Gascon","year":"2015","journal-title":"Endocrinology"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1001\/archinternmed.2011.683","article-title":"Exposure to particulate air pollution and cognitive decline in older women","volume":"172","author":"Weuve","year":"2012","journal-title":"Arch. Intern. Med."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.envint.2017.08.020","article-title":"Exposure to ambient air pollution and the incidence of dementia: A population-based cohort study","volume":"108","author":"Chen","year":"2017","journal-title":"Environ. Int."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.neuroimage.2017.10.034","article-title":"Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank","volume":"166","author":"Jenkinson","year":"2018","journal-title":"Neuroimage"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1523","DOI":"10.1038\/nn.4393","article-title":"Multimodal population brain imaging in the UK Biobank prospective epidemiological study","volume":"19","author":"Miller","year":"2016","journal-title":"Nat. Neurosci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"11195","DOI":"10.1021\/es301948k","article-title":"Development of Land Use Regression models for PM(2.5), PM(2.5) absorbance, PM(10) and PM(coarse) in 20 European study areas; results of the ESCAPE project","volume":"46","author":"Eeftens","year":"2012","journal-title":"Environ. Sci. Technol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.atmosenv.2013.02.037","article-title":"Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe\u2014The ESCAPE project","volume":"72","author":"Beelen","year":"2013","journal-title":"Atmos. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1016\/j.jalz.2015.05.016","article-title":"Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective","volume":"11","author":"Baumgart","year":"2015","journal-title":"Alzheimer\u2019s Dement. J. Alzheimer\u2019s Assoc."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1093\/aje\/kwx155","article-title":"Contribution of Socioeconomic Status at 3 Life-Course Periods to Late-Life Memory Function and Decline: Early and Late Predictors of Dementia Risk","volume":"186","author":"Marden","year":"2017","journal-title":"Am. J. Epidemiol."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Rzezak, P., Squarzoni, P., Duran, F.L., de Toledo Ferraz Alves, T., Tamashiro-Duran, J., Bottino, C.M., Ribeiz, S., Lotufo, P.A., Menezes, P.R., and Scazufca, M. (2015). Relationship between Brain Age-Related Reduction in Gray Matter and Educational Attainment. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0140945"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.drugalcdep.2015.05.030","article-title":"Regional gray matter deficits in alcohol dependence: A meta-analysis of voxel-based morphometry studies","volume":"153","author":"Xiao","year":"2015","journal-title":"Drug Alcohol Depend."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1987","DOI":"10.1002\/hbm.21334","article-title":"Human brain changes across the life span: A review of 56 longitudinal magnetic resonance imaging studies","volume":"33","author":"Hedman","year":"2012","journal-title":"Hum. Brain Mapp."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"495","DOI":"10.3389\/fnhum.2016.00495","article-title":"A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women","volume":"10","author":"Casanova","year":"2016","journal-title":"Front. Hum. Neurosci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"027009","DOI":"10.1289\/EHP2152","article-title":"The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study","volume":"126","author":"Power","year":"2018","journal-title":"Environ. Health Perspect."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/j.bandc.2011.09.006","article-title":"Exposure to severe urban air pollution influences cognitive outcomes, brain volume and systemic inflammation in clinically healthy children","volume":"77","author":"Engle","year":"2011","journal-title":"Brain Cogn."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"12089","DOI":"10.1038\/s41598-018-30568-6","article-title":"Cross-sectional and longitudinal analyses of outdoor air pollution exposure and cognitive function in UK Biobank","volume":"8","author":"Cullen","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.neuro.2016.11.001","article-title":"Exposure to ambient ultrafine particulate matter alters the expression of genes in primary human neurons","volume":"58","author":"Solaimani","year":"2017","journal-title":"Neurotoxicology"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.tins.2009.05.009","article-title":"Air pollution: Mechanisms of neuroinflammation and CNS disease","volume":"32","author":"Block","year":"2009","journal-title":"Trends Neurosci."}],"container-title":["Brain Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-3425\/10\/3\/164\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:06:31Z","timestamp":1760173591000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-3425\/10\/3\/164"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,13]]},"references-count":33,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2020,3]]}},"alternative-id":["brainsci10030164"],"URL":"https:\/\/doi.org\/10.3390\/brainsci10030164","relation":{},"ISSN":["2076-3425"],"issn-type":[{"value":"2076-3425","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,13]]}}}