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Regional tract-specific white matter hyperintensities are associated with patterns of aging-related brain atrophy via vascular risk factors, but also independently

INTRODUCTION: We sought to investigate associations of regional white matter hyperintensities (WMHs) within white matter (WM) tracts with cardiovascular risk and brain aging-related atrophy throughout adulthood in the general population, leveraging state of the art pattern analysis methods. METHODS:...

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Autores principales: Habes, Mohamad, Erus, Guray, Toledo, Jon B., Bryan, Nick, Janowitz, Deborah, Doshi, Jimit, Völzke, Henry, Schminke, Ulf, Hoffmann, Wolfgang, Grabe, Hans J., Wolk, David A., Davatzikos, Christos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5889709/
https://www.ncbi.nlm.nih.gov/pubmed/29644327
http://dx.doi.org/10.1016/j.dadm.2018.02.002
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author Habes, Mohamad
Erus, Guray
Toledo, Jon B.
Bryan, Nick
Janowitz, Deborah
Doshi, Jimit
Völzke, Henry
Schminke, Ulf
Hoffmann, Wolfgang
Grabe, Hans J.
Wolk, David A.
Davatzikos, Christos
author_facet Habes, Mohamad
Erus, Guray
Toledo, Jon B.
Bryan, Nick
Janowitz, Deborah
Doshi, Jimit
Völzke, Henry
Schminke, Ulf
Hoffmann, Wolfgang
Grabe, Hans J.
Wolk, David A.
Davatzikos, Christos
author_sort Habes, Mohamad
collection PubMed
description INTRODUCTION: We sought to investigate associations of regional white matter hyperintensities (WMHs) within white matter (WM) tracts with cardiovascular risk and brain aging-related atrophy throughout adulthood in the general population, leveraging state of the art pattern analysis methods. METHODS: We analyzed a large sample (n = 2367) from the Study of Health in Pomerania, Germany (range 20–90 years). WMHs were automatically segmented on T1-weighted and fluid-attenuated inversion recovery magnetic resonance images, and WMH volumes were calculated in WM regions defined using the John Hopkins University WM tractography atlas. Regions with the highest average WMH volume were selected. We calculated a subject-specific index, Spatial Pattern of Alteration for Recognition of Brain Aging, to measure age-related atrophy patterns. The Framingham cardiovascular disease risk score summarized the individual cardiovascular risk profile. We used structural equation models, independently for each region, using Spatial Pattern of Alteration for Recognition of Brain Aging as a dependent variable, age as an independent variable, and cardiovascular disease risk score and regional WMH volumes as mediators. RESULTS: Selected 12 WM regions included 75% of the total WMH burden in average. Structural equation models showed that the age effect on Spatial Pattern of Alteration for Recognition of Brain Aging was mediated by WMHs to a different extent in the superior frontal WM, anterior corona radiata, inferior frontal WM, superior corona radiata, superior longitudinal fasciculus, middle temporal WM, posterior corona radiata, superior parietal WM, splenium of corpus callosum, posterior thalamic radiation, and middle occipital WM (variance explained between 2.8% and 10.3%, P < .0001 Bonferroni corrected), but not in precentral WM. CONCLUSIONS: Our results indicate that WMHs, in most WM tracts, might accelerate the brain aging process throughout adulthood in the general population as a result of vascular risk factors, but also independent of them. Preventive strategies against WMHs (such as controlling vascular risk factors or microglia depletion) could delay brain aging.
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spelling pubmed-58897092018-04-11 Regional tract-specific white matter hyperintensities are associated with patterns of aging-related brain atrophy via vascular risk factors, but also independently Habes, Mohamad Erus, Guray Toledo, Jon B. Bryan, Nick Janowitz, Deborah Doshi, Jimit Völzke, Henry Schminke, Ulf Hoffmann, Wolfgang Grabe, Hans J. Wolk, David A. Davatzikos, Christos Alzheimers Dement (Amst) Special Section: State of the Field: Advances in Neuroimaging from the 2017 Alzheimer’s Imaging Consortium. (Guest Editors: Drs. David Wolk, Victor Villemagne & Bradford Dickerson) INTRODUCTION: We sought to investigate associations of regional white matter hyperintensities (WMHs) within white matter (WM) tracts with cardiovascular risk and brain aging-related atrophy throughout adulthood in the general population, leveraging state of the art pattern analysis methods. METHODS: We analyzed a large sample (n = 2367) from the Study of Health in Pomerania, Germany (range 20–90 years). WMHs were automatically segmented on T1-weighted and fluid-attenuated inversion recovery magnetic resonance images, and WMH volumes were calculated in WM regions defined using the John Hopkins University WM tractography atlas. Regions with the highest average WMH volume were selected. We calculated a subject-specific index, Spatial Pattern of Alteration for Recognition of Brain Aging, to measure age-related atrophy patterns. The Framingham cardiovascular disease risk score summarized the individual cardiovascular risk profile. We used structural equation models, independently for each region, using Spatial Pattern of Alteration for Recognition of Brain Aging as a dependent variable, age as an independent variable, and cardiovascular disease risk score and regional WMH volumes as mediators. RESULTS: Selected 12 WM regions included 75% of the total WMH burden in average. Structural equation models showed that the age effect on Spatial Pattern of Alteration for Recognition of Brain Aging was mediated by WMHs to a different extent in the superior frontal WM, anterior corona radiata, inferior frontal WM, superior corona radiata, superior longitudinal fasciculus, middle temporal WM, posterior corona radiata, superior parietal WM, splenium of corpus callosum, posterior thalamic radiation, and middle occipital WM (variance explained between 2.8% and 10.3%, P < .0001 Bonferroni corrected), but not in precentral WM. CONCLUSIONS: Our results indicate that WMHs, in most WM tracts, might accelerate the brain aging process throughout adulthood in the general population as a result of vascular risk factors, but also independent of them. Preventive strategies against WMHs (such as controlling vascular risk factors or microglia depletion) could delay brain aging. Elsevier 2018-03-05 /pmc/articles/PMC5889709/ /pubmed/29644327 http://dx.doi.org/10.1016/j.dadm.2018.02.002 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Special Section: State of the Field: Advances in Neuroimaging from the 2017 Alzheimer’s Imaging Consortium. (Guest Editors: Drs. David Wolk, Victor Villemagne & Bradford Dickerson)
Habes, Mohamad
Erus, Guray
Toledo, Jon B.
Bryan, Nick
Janowitz, Deborah
Doshi, Jimit
Völzke, Henry
Schminke, Ulf
Hoffmann, Wolfgang
Grabe, Hans J.
Wolk, David A.
Davatzikos, Christos
Regional tract-specific white matter hyperintensities are associated with patterns of aging-related brain atrophy via vascular risk factors, but also independently
title Regional tract-specific white matter hyperintensities are associated with patterns of aging-related brain atrophy via vascular risk factors, but also independently
title_full Regional tract-specific white matter hyperintensities are associated with patterns of aging-related brain atrophy via vascular risk factors, but also independently
title_fullStr Regional tract-specific white matter hyperintensities are associated with patterns of aging-related brain atrophy via vascular risk factors, but also independently
title_full_unstemmed Regional tract-specific white matter hyperintensities are associated with patterns of aging-related brain atrophy via vascular risk factors, but also independently
title_short Regional tract-specific white matter hyperintensities are associated with patterns of aging-related brain atrophy via vascular risk factors, but also independently
title_sort regional tract-specific white matter hyperintensities are associated with patterns of aging-related brain atrophy via vascular risk factors, but also independently
topic Special Section: State of the Field: Advances in Neuroimaging from the 2017 Alzheimer’s Imaging Consortium. (Guest Editors: Drs. David Wolk, Victor Villemagne & Bradford Dickerson)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5889709/
https://www.ncbi.nlm.nih.gov/pubmed/29644327
http://dx.doi.org/10.1016/j.dadm.2018.02.002
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