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White matter hyperintensities mediate the association between blood-brain barrier leakage and information processing speed.
- Source :
-
Neurobiology of aging [Neurobiol Aging] 2020 Jan; Vol. 85, pp. 113-122. Date of Electronic Publication: 2019 Sep 27. - Publication Year :
- 2020
-
Abstract
- Blood-brain barrier (BBB) leakage is considered an important underlying process in both cerebral small vessel disease (cSVD) and Alzheimer's disease (AD). The objective of this study was to examine associations between BBB leakage, cSVD, neurodegeneration, and cognitive performance across the spectrum from normal cognition to dementia. Leakage was measured with dynamic contrast-enhanced magnetic resonance imaging in 80 older participants (normal cognition, n = 32; mild cognitive impairment, n = 34; clinical AD-type dementia, n = 14). Associations between leakage and white matter hyperintensity (WMH) volume, hippocampal volume, and cognition (information processing speed and memory performance) were examined with multivariable linear regression and mediation analyses. Leakage within the gray and white matter was positively associated with WMH volume (gray matter, p = 0.03; white matter, p = 0.01). A negative association was found between white matter BBB leakage and information processing speed performance, which was mediated by WMH volume. Leakage was not associated with hippocampal volume. WMH pathology is suggested to form a link between leakage and decline of information processing speed in older individuals with and without cognitive impairment.<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)
- Subjects :
- Aged
Aged, 80 and over
Blood-Brain Barrier diagnostic imaging
Cognitive Dysfunction etiology
Dementia etiology
Female
Hippocampus diagnostic imaging
Hippocampus pathology
Humans
Magnetic Resonance Imaging
Male
White Matter diagnostic imaging
Blood-Brain Barrier pathology
Blood-Brain Barrier physiopathology
Mental Processes physiology
Reaction Time
White Matter pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1558-1497
- Volume :
- 85
- Database :
- MEDLINE
- Journal :
- Neurobiology of aging
- Publication Type :
- Academic Journal
- Accession number :
- 31718926
- Full Text :
- https://doi.org/10.1016/j.neurobiolaging.2019.09.017