Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions.
Author
Kern, Kyle CWright, Clinton B
Bergfield, Kaitlin L
Fitzhugh, Megan C
Chen, Kewei
Moeller, James R
Nabizadeh, Nooshin
Elkind, Mitchell S V
Sacco, Ralph L
Stern, Yaakov
DeCarli, Charles S
Alexander, Gene E
Affiliation
Univ Arizona, Neurosci Grad Interdisciplinary ProgramUniv Arizona, Physiol Sci Grad Interdisciplinary Programs
Univ Arizona, Dept Psychol
Univ Arizona, Evelyn F McKnight Brain Inst
Univ Arizona, Dept Psychiat
Univ Arizona, Inst BIO5
Issue Date
2017Keywords
white matter hyperintensitiesbrain atrophy
hypertension
cerebrovascular disease
cognition
aging
scaled subprofile model
voxel-based morphometry
Metadata
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FRONTIERS MEDIA SACitation
Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions. 2017, 9:132 Front Aging NeurosciJournal
Frontiers in aging neuroscienceRights
© 2017 Kern, Wright, Bergfield, Fitzhugh, Chen, Moeller, Nabizadeh, Elkind, Sacco, Stern, DeCarli and Alexander. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Cerebral small-vessel damage manifests as white matter hyperintensities and cerebral atrophy on brain MRI and is associated with aging, cognitive decline and dementia. We sought to examine the interrelationship of these imaging biomarkers and the influence of hypertension in older individuals. We used a multivariate spatial covariance neuroimaging technique to localize the effects of white matter lesion load on regional gray matter volume and assessed the role of blood pressure control, age and education on this relationship. Using a case-control design matching for age, gender, and educational attainment we selected 64 participants with normal blood pressure, controlled hypertension or uncontrolled hypertension from the Northern Manhattan Study cohort. We applied gray matter voxel-based morphometry with the scaled subprofile model to (1) identify regional covariance patterns of gray matter volume differences associated with white matter lesion load, (2) compare this relationship across blood pressure groups, and (3) relate it to cognitive performance. In this group of participants aged 60-86 years, we identified a pattern of reduced gray matter volume associated with white matter lesion load in bilateral temporal-parietal regions with relative preservation of volume in the basal forebrain, thalami and cingulate cortex. This pattern was expressed most in the uncontrolled hypertension group and least in the normotensives, but was also more evident in older and more educated individuals. Expression of this pattern was associated with worse performance in executive function and memory. In summary, white matter lesions from small-vessel disease are associated with a regional pattern of gray matter atrophy that is mitigated by blood pressure control, exacerbated by aging, and associated with cognitive performance.Note
Open Access JournalISSN
1663-4365PubMed ID
28555103Version
Final published versionSponsors
American Heart Association Bugher Center [14BFSC17690003]; diaDexus Inc.; Bristol- Myers Squibb/Sanoti Pharmaceuticals Partnership; NIH/NINDS; National Institute on Aging [R01 AG049464, P30 AGO19610]; State of Arizona; ADHS; Advanced Research Institute for Biomedical Imaging; McKnight Brain Research Foundation; [K02 NS 059729]; [R01 IIL 108623]; [SPRINT MRI WFUHS 330214]; [R01 NS 29993]Additional Links
http://journal.frontiersin.org/article/10.3389/fnagi.2017.00132/fullae974a485f413a2113503eed53cd6c53
10.3389/fnagi.2017.00132
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Except where otherwise noted, this item's license is described as © 2017 Kern, Wright, Bergfield, Fitzhugh, Chen, Moeller, Nabizadeh, Elkind, Sacco, Stern, DeCarli and Alexander. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
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