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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Frontiers Media S.A.
2021-07-01
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Series: | Frontiers in Aging Neuroscience |
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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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issn | 1663-4365 |
language | English |
last_indexed | 2024-12-16T18:16:11Z |
publishDate | 2021-07-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Aging Neuroscience |
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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