The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Exposure to severe urban air pollution influences cognitive outcomes, brain volume and systemic inflammation in clinically healthy children
Abstract
Exposure to severe air pollution produces neuroinflammation and structural brain alterations in children. We tested whether patterns of brain growth, cognitive deficits and white matter hyperintensities (WMH) are associated with exposures to severe air pollution. Baseline and 1 year follow-up measurements of global and regional brain MRI volumes, cognitive abilities (Wechsler Intelligence Scale for Children-Revised, WISC-R), and serum inflammatory mediators were collected in 20 Mexico City (MC) children (10 with white matter hyperintensities, WMH(+), and 10 without, WMH(-)) and 10 matched controls (CTL) from a low polluted city. There were significant differences in white matter volumes between CTL and MC children - both WMH(+) and WMH(-) - in right parietal and bilateral temporal areas. Both WMH(-) and WMH(+) MC children showed progressive deficits, compared to CTL children, on the WISC-R Vocabulary and Digit Span subtests. The cognitive deficits in highly exposed children match the localization of the volumetric differences detected over the 1 year follow-up, since the deficits observed are consistent with impairment of parietal and temporal lobe functions. Regardless of the presence of prefrontal WMH, Mexico City children performed more poorly across a variety of cognitive tests, compared to CTL children, thus WMH(+) is likely only partially identifying underlying white matter pathology. Together these findings reveal that exposure to air pollution may perturb the trajectory of cerebral development and result in cognitive deficits during childhood.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Some air pollutants are known to induce oxidative stress and cause a systemic inflammatory reaction, a proposed mechanism whereby air pollutant exposures may perturb neurodevelopment.66–68”
From Environmental Chemical Exposures and Autism Spectrum Disorders: A Review of the Epidemiological Evidence (2014) · cites this paper as [67]
Citations
Cites
The Blood-Brain Barrier in Health and Chronic Neurodegenerative Disorders
Zlokovic, B. V. (2008) · Neuron · doi:10.1016/j.neuron.2008.01.003 · Cited by 3,280
An improved Bonferroni procedure for multiple tests of significance
SIMES, R. J. (1986) · Biometrika · doi:10.1093/biomet/73.3.751 · Cited by 2,396
Debette, S., & Markus, H. S. (2010) · BMJ · doi:10.1136/bmj.c3666 · Cited by 2,328
Air pollution: mechanisms of neuroinflammation and CNS disease
Block, M. L., & Calderón‐Garcidueñas, L. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2009.05.009 · Cited by 1,676
Self-citationThe Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence
Jung, R. E., & Haier, R. J. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07001185 · Cited by 1,662
Calderón-Garcidueñas, L., Solt, A. C., Henríquez-Roldán, C., Torres-Jardón, R., Nuse, B., Herritt, L., Villarreal-Calderón, R., Osnaya, N., Stone, I., García, R., et al. (2008) · Toxicologic Pathology · doi:10.1177/0192623307313011 · Cited by 937
Self-citationCATTELL, J. M. (1923) · The Annals of the American Academy of Political and Social Science · doi:10.1177/000271622311000117 · Cited by 911
Unbiased diffeomorphic atlas construction for computational anatomy
Joshi, S. C., Davis, B. C., Jomier, M., & Gerig, G. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.068 · Cited by 881
Translocation and potential neurological effects of fine and ultrafine particles a critical update
Peters, A., Veronesi, B., Calderón‐Garcidueñas, L., Gehr, P., Chen, L., Geiser, M., Reed, W. R., Rothen‐Rutishauser, B., Schürch, S., & Schulz, H. (2006) · Particle and Fibre Toxicology · doi:10.1186/1743-8977-3-13 · Cited by 624
Self-citationBrain Inflammation and Alzheimer's-Like Pathology in Individuals Exposed to Severe Air Pollution
Calderón‐Garcidueñas, L., Reed, W., Maronpot, R. R., Henríquez-Roldán, C. F., Delgado‐Chávez, R., Calderón‐Garcidueñas, A. L., Valdez, I. Y. D., Franco-Lira, M., Aragón-Flores, M., Solt, A. C., et al. (2004) · Toxicologic Pathology · doi:10.1080/01926230490520232 · Cited by 602
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Calderón-Garcidueñas, 2011, Neuroinflammation, hyperphosphorilated tau, diffuse amyloid plaques and down-regulation of the cellular prion protein in air pollution exposed children and adults, Journal of Alzheimer Disease.
- Calderón-Garcidueñas, 2009, Immunotoxicity and environment: Immunodysregulation and systemic inflammation in children, Toxicologic Pathology, 37, 161, 10.1177/0192623308329340 · DOI
Cited by
Sorted by citations
Clifford, A., Lang, L., Chen, R., Anstey, K. J., & Seaton, A. (2016) · Environmental Research · doi:10.1016/j.envres.2016.01.018 · Cited by 522
Costa, L. G., Cole, T. B., Dao, K., Chang, Y. C., Coburn, J. L., & Garrick, J. M. (2020) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2020.107523 · Cited by 511
Perera, F. P. (2016) · Environmental Health Perspectives · doi:10.1289/ehp299 · Cited by 454
Nanomaterials Versus Ambient Ultrafine Particles: An Opportunity to Exchange Toxicology Knowledge
Stone, V., Miller, M. R., Clift, M. J. D., Elder, A. C. P., Mills, N. L., Møller, P., Schins, R. P. F., Vogel, U. B., Kreyling, W. G., Jensen, K. A., et al. (2016) · Environmental Health Perspectives · doi:10.1289/ehp424 · Cited by 428
Neurotoxicity of traffic-related air pollution
Costa, L. G., Cole, T. B., Coburn, J. L., Chang, Y., Dao, K., & Roqué, P. J. (2015) · NeuroToxicology · doi:10.1016/j.neuro.2015.11.008 · Cited by 416
Metadata
- Authors
- Calderón-Garcidueñas, L., Engle, R., Mora-Tiscareño, A., Styner, M., Gómez-Garza, G., Zhu, H., Jewells, V., Torres-Jardón, R., Romero, L., Monroy-Acosta, M. E., Bryant, C., González-González, L. O., Medina-Cortina, H., & D’Angiulli, A.
- Affiliations
- Georgia Institute of Technology (US)
- Instituto Nacional de Pediatria (MX)
- University of North Carolina at Chapel Hill (US)
- Carleton University (CA)
- Corresponding author
- D’Angiulli, Amedeo
- ORCID
- Venue
- Brain and Cognition
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 77
- Issue
- 3
- Pages
- 345-355
- ISSN
- 0278-2626 (ISSN-L)
- OpenAlex
- W2117738566
- Cited by
- 323
- References
- 67
- Citations by year
- 2026: 15 · 2025: 25 · 2024: 18 · 2023: 19 · 2022: 41 · 2021: 34 · 2020: 30 · 2019: 23 · 2018: 24 · 2017: 25 · 2016: 19 · 2015: 15 · 2014: 10 · 2013: 15 · 2012: 9
- FWCI
- 7.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain and Cognition (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Center for Research Resources (UL1RR025014, P20RR015583)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Social Sciences › Sociology and Political Science › Environmental Justice and Health Disparities
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
- Keywords
- urban air pollution, child cognitive development, white matter hyperintensities, brain volume, systemic inflammation, neuroinflammation, cognitive impairment, parietal lobe, temporal lobe, brain development, serum inflammatory mediators
- MeSH terms
- Air Pollution, Brain, Child, Cognition, Cognition Disorders, Female, Humans, Inflammation, Intelligence Tests, Magnetic Resonance Imaging, Male, Mexico, Nerve Fibers, Myelinated, Neuropsychological Tests, Organ Size, Prospective Studies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review