White Matter Hyperintensity Volume and Location: Associations With WM Microstructure, Brain Iron, and Cerebral Perfusion

Cerebral white matter hyperintensities (WMHs) represent macrostructural brain damage associated with various etiologies. However, the relative contributions of various etiologies to WMH volume, as assessed via different neuroimaging measures, is not well-understood. Here, we explored associations be...

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Main Authors: Christopher E. Bauer, Valentinos Zachariou, Elayna Seago, Brian T. Gold
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2021.617947/full
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author Christopher E. Bauer
Valentinos Zachariou
Elayna Seago
Brian T. Gold
Brian T. Gold
author_facet Christopher E. Bauer
Valentinos Zachariou
Elayna Seago
Brian T. Gold
Brian T. Gold
author_sort Christopher E. Bauer
collection DOAJ
description Cerebral white matter hyperintensities (WMHs) represent macrostructural brain damage associated with various etiologies. However, the relative contributions of various etiologies to WMH volume, as assessed via different neuroimaging measures, is not well-understood. Here, we explored associations between three potential early markers of white matter hyperintensity volume. Specifically, the unique variance in total and regional WMH volumes accounted for by white matter microstructure, brain iron concentration and cerebral blood flow (CBF) was assessed. Regional volumes explored were periventricular and deep regions. Eighty healthy older adults (ages 60–86) were scanned at 3 Tesla MRI using fluid-attenuated inversion recovery, diffusion tensor imaging (DTI), multi-echo gradient-recalled echo and pseudo-continuous arterial spin labeling sequences. In a stepwise regression model, DTI-based radial diffusivity accounted for significant variance in total WMH volume (adjusted R2 change = 0.136). In contrast, iron concentration (adjusted R2 change = 0.043) and CBF (adjusted R2 change = 0.027) made more modest improvements to the variance accounted for in total WMH volume. However, there was an interaction between iron concentration and location on WMH volume such that iron concentration predicted deep (p = 0.034) but not periventricular (p = 0.414) WMH volume. Our results suggest that WM microstructure may be a better predictor of WMH volume than either brain iron or CBF but also draws attention to the possibility that some early WMH markers may be location-specific.
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spelling doaj.art-a3b20c91093c478c811777150a91cc762022-12-21T22:21:41ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652021-07-011310.3389/fnagi.2021.617947617947White Matter Hyperintensity Volume and Location: Associations With WM Microstructure, Brain Iron, and Cerebral PerfusionChristopher E. Bauer0Valentinos Zachariou1Elayna Seago2Brian T. Gold3Brian T. Gold4Department of Neuroscience, University of Kentucky, Lexington, KY, United StatesDepartment of Neuroscience, University of Kentucky, Lexington, KY, United StatesDepartment of Neuroscience, University of Kentucky, Lexington, KY, United StatesDepartment of Neuroscience, University of Kentucky, Lexington, KY, United StatesSanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United StatesCerebral white matter hyperintensities (WMHs) represent macrostructural brain damage associated with various etiologies. However, the relative contributions of various etiologies to WMH volume, as assessed via different neuroimaging measures, is not well-understood. Here, we explored associations between three potential early markers of white matter hyperintensity volume. Specifically, the unique variance in total and regional WMH volumes accounted for by white matter microstructure, brain iron concentration and cerebral blood flow (CBF) was assessed. Regional volumes explored were periventricular and deep regions. Eighty healthy older adults (ages 60–86) were scanned at 3 Tesla MRI using fluid-attenuated inversion recovery, diffusion tensor imaging (DTI), multi-echo gradient-recalled echo and pseudo-continuous arterial spin labeling sequences. In a stepwise regression model, DTI-based radial diffusivity accounted for significant variance in total WMH volume (adjusted R2 change = 0.136). In contrast, iron concentration (adjusted R2 change = 0.043) and CBF (adjusted R2 change = 0.027) made more modest improvements to the variance accounted for in total WMH volume. However, there was an interaction between iron concentration and location on WMH volume such that iron concentration predicted deep (p = 0.034) but not periventricular (p = 0.414) WMH volume. Our results suggest that WM microstructure may be a better predictor of WMH volume than either brain iron or CBF but also draws attention to the possibility that some early WMH markers may be location-specific.https://www.frontiersin.org/articles/10.3389/fnagi.2021.617947/fullcerebral small vessel diseaseDTIwhite matter hyperintensitiescerebral perfusionbrain ironQSM
spellingShingle Christopher E. Bauer
Valentinos Zachariou
Elayna Seago
Brian T. Gold
Brian T. Gold
White Matter Hyperintensity Volume and Location: Associations With WM Microstructure, Brain Iron, and Cerebral Perfusion
Frontiers in Aging Neuroscience
cerebral small vessel disease
DTI
white matter hyperintensities
cerebral perfusion
brain iron
QSM
title White Matter Hyperintensity Volume and Location: Associations With WM Microstructure, Brain Iron, and Cerebral Perfusion
title_full White Matter Hyperintensity Volume and Location: Associations With WM Microstructure, Brain Iron, and Cerebral Perfusion
title_fullStr White Matter Hyperintensity Volume and Location: Associations With WM Microstructure, Brain Iron, and Cerebral Perfusion
title_full_unstemmed White Matter Hyperintensity Volume and Location: Associations With WM Microstructure, Brain Iron, and Cerebral Perfusion
title_short White Matter Hyperintensity Volume and Location: Associations With WM Microstructure, Brain Iron, and Cerebral Perfusion
title_sort white matter hyperintensity volume and location associations with wm microstructure brain iron and cerebral perfusion
topic cerebral small vessel disease
DTI
white matter hyperintensities
cerebral perfusion
brain iron
QSM
url https://www.frontiersin.org/articles/10.3389/fnagi.2021.617947/full
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