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Vascular and Alzheimer's disease markers independently predict brain atrophy rate in Alzheimer's Disease Neuroimaging Initiative controls.
- Source :
-
Neurobiology of aging [Neurobiol Aging] 2013 Aug; Vol. 34 (8), pp. 1996-2002. Date of Electronic Publication: 2013 Mar 21. - Publication Year :
- 2013
-
Abstract
- This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with serial volumetric 1.5-T MRI. CSF Aβ1-42 (n = 351) and tau (n = 346) were measured. Brain volume change was quantified using the boundary shift integral (BSI). We assessed the association between baseline WMH volume and annualized BSI, adjusting for intracranial volume. We also performed multiple regression analyses in the CSF subset, assessing the relationships of WMH and Aβ1-42 and/or tau with BSI. WMH burden was positively associated with BSI in controls (p = 0.02) but not MCI or AD. In multivariable models, WMH (p = 0.003) and Aβ1-42 (p = 0.001) were independently associated with BSI in controls; in MCI Aβ1-42 (p < 0.001) and tau (p = 0.04) were associated with BSI. There was no evidence of independent effects of WMH or CSF measures on BSI in AD. These data support findings that vascular damage is associated with increased brain atrophy in the context of AD pathology in pre-dementia stages.<br /> (Copyright © 2013 Elsevier Inc. All rights reserved.)
- Subjects :
- Aged
Alzheimer Disease cerebrospinal fluid
Amyloid beta-Peptides cerebrospinal fluid
Atrophy
Biomarkers cerebrospinal fluid
Brain metabolism
Cognitive Dysfunction cerebrospinal fluid
Cognitive Dysfunction pathology
Disease Progression
Female
Humans
Magnetic Resonance Imaging
Male
Peptide Fragments cerebrospinal fluid
tau Proteins cerebrospinal fluid
Alzheimer Disease pathology
Brain pathology
Cerebral Arteries pathology
Functional Neuroimaging
Subjects
Details
- Language :
- English
- ISSN :
- 1558-1497
- Volume :
- 34
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Neurobiology of aging
- Publication Type :
- Academic Journal
- Accession number :
- 23522844
- Full Text :
- https://doi.org/10.1016/j.neurobiolaging.2013.02.003