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A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women
Objective: Exposure to ambient fine particulate matter (PM(2.5): PM with aerodynamic diameters < 2.5 μm) has been linked with cognitive deficits in older adults. Using fine-grained voxel-wise analyses, we examined whether PM(2.5) exposure also affects brain structure. Methods: Brain MRI data were...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061768/ https://www.ncbi.nlm.nih.gov/pubmed/27790103 http://dx.doi.org/10.3389/fnhum.2016.00495 |
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author | Casanova, Ramon Wang, Xinhui Reyes, Jeanette Akita, Yasuyuki Serre, Marc L. Vizuete, William Chui, Helena C. Driscoll, Ira Resnick, Susan M. Espeland, Mark A. Chen, Jiu-Chiuan |
author_facet | Casanova, Ramon Wang, Xinhui Reyes, Jeanette Akita, Yasuyuki Serre, Marc L. Vizuete, William Chui, Helena C. Driscoll, Ira Resnick, Susan M. Espeland, Mark A. Chen, Jiu-Chiuan |
author_sort | Casanova, Ramon |
collection | PubMed |
description | Objective: Exposure to ambient fine particulate matter (PM(2.5): PM with aerodynamic diameters < 2.5 μm) has been linked with cognitive deficits in older adults. Using fine-grained voxel-wise analyses, we examined whether PM(2.5) exposure also affects brain structure. Methods: Brain MRI data were obtained from 1365 women (aged 71–89) in the Women's Health Initiative Memory Study and local brain volumes were estimated using RAVENS (regional analysis of volumes in normalized space). Based on geocoded residential locations and air monitoring data from the U.S. Environmental Protection Agency, we employed a spatiotemporal model to estimate long-term (3-year average) exposure to ambient PM(2.5) preceding MRI scans. Voxel-wise linear regression models were fit separately to gray matter (GM) and white matter (WM) maps to analyze associations between brain structure and PM(2.5) exposure, with adjustment for potential confounders. Results: Increased PM(2.5) exposure was associated with smaller volumes in both cortical GM and subcortical WM areas. For GM, associations were clustered in the bilateral superior, middle, and medial frontal gyri. For WM, the largest clusters were in the frontal lobe, with smaller clusters in the temporal, parietal, and occipital lobes. No statistically significant associations were observed between PM(2.5) exposure and hippocampal volumes. Conclusions: Long-term PM(2.5) exposures may accelerate loss of both GM and WM in older women. While our previous work linked smaller WM volumes to PM(2.5), this is the first neuroimaging study reporting associations between air pollution exposure and smaller volumes of cortical GM. Our data support the hypothesized synaptic neurotoxicity of airborne particles. |
format | Online Article Text |
id | pubmed-5061768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50617682016-10-27 A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women Casanova, Ramon Wang, Xinhui Reyes, Jeanette Akita, Yasuyuki Serre, Marc L. Vizuete, William Chui, Helena C. Driscoll, Ira Resnick, Susan M. Espeland, Mark A. Chen, Jiu-Chiuan Front Hum Neurosci Neuroscience Objective: Exposure to ambient fine particulate matter (PM(2.5): PM with aerodynamic diameters < 2.5 μm) has been linked with cognitive deficits in older adults. Using fine-grained voxel-wise analyses, we examined whether PM(2.5) exposure also affects brain structure. Methods: Brain MRI data were obtained from 1365 women (aged 71–89) in the Women's Health Initiative Memory Study and local brain volumes were estimated using RAVENS (regional analysis of volumes in normalized space). Based on geocoded residential locations and air monitoring data from the U.S. Environmental Protection Agency, we employed a spatiotemporal model to estimate long-term (3-year average) exposure to ambient PM(2.5) preceding MRI scans. Voxel-wise linear regression models were fit separately to gray matter (GM) and white matter (WM) maps to analyze associations between brain structure and PM(2.5) exposure, with adjustment for potential confounders. Results: Increased PM(2.5) exposure was associated with smaller volumes in both cortical GM and subcortical WM areas. For GM, associations were clustered in the bilateral superior, middle, and medial frontal gyri. For WM, the largest clusters were in the frontal lobe, with smaller clusters in the temporal, parietal, and occipital lobes. No statistically significant associations were observed between PM(2.5) exposure and hippocampal volumes. Conclusions: Long-term PM(2.5) exposures may accelerate loss of both GM and WM in older women. While our previous work linked smaller WM volumes to PM(2.5), this is the first neuroimaging study reporting associations between air pollution exposure and smaller volumes of cortical GM. Our data support the hypothesized synaptic neurotoxicity of airborne particles. Frontiers Media S.A. 2016-10-13 /pmc/articles/PMC5061768/ /pubmed/27790103 http://dx.doi.org/10.3389/fnhum.2016.00495 Text en Copyright © 2016 Casanova, Wang, Reyes, Akita, Serre, Vizuete, Chui, Driscoll, Resnick, Espeland, Chen for the WHIMS-MRI Study Group. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Casanova, Ramon Wang, Xinhui Reyes, Jeanette Akita, Yasuyuki Serre, Marc L. Vizuete, William Chui, Helena C. Driscoll, Ira Resnick, Susan M. Espeland, Mark A. Chen, Jiu-Chiuan A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women |
title | A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women |
title_full | A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women |
title_fullStr | A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women |
title_full_unstemmed | A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women |
title_short | A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women |
title_sort | voxel-based morphometry study reveals local brain structural alterations associated with ambient fine particles in older women |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061768/ https://www.ncbi.nlm.nih.gov/pubmed/27790103 http://dx.doi.org/10.3389/fnhum.2016.00495 |
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