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18FDG PET in Vascular Dementia: Differentiation from Alzheimer's Disease Using Voxel-Based Multivariate Analysis
Abstract
The brain metabolic pattern of vascular dementia (VaD) remains poorly characterized. Univariate voxel-based analysis ignores the functional correlations among structures and may lack sensitivity and specificity. Here, we applied a novel voxel-based multivariate technique to a large (18 F)2-fluoro-2-deoxy-D-glucose positron emission tomography data set. The sample consisted of 153 subjects, one-third each being probable subcortical VaD, probable Alzheimer disease (AD) (matched for Mini-Mental-State examination (MMSE) and age), and normal controls (NCs). We first applied principal component (PC) analysis and removed PCs significantly correlated to age. The remainders were used as feature vectors in a canonical variate analysis to generate canonical variates (CVs), that is, linear combinations of PC-scores. The first two CVs efficiently separated the groups. CV 1 separated VaD from AD with 100% accuracy, whereas CV2 separated NC from demented subjects with 72% sensitivity and 96% specificity. Images depicting CV 1 and CV 2 showed that lower metabolism differentiating VaD from AD mainly concerned the deep gray nuclei, cerebellum, primary cortices, middle temporal gyrus, and anterior cingulate gyrus, whereas lower metabolism in AD versus VaD concerned mainly the hippocampal region and orbitofrontal, posterior cingulate, and posterior parietal cortices. The hypometabolic pattern common to VaD and AD mainly concerned the posterior parietal, precuneus, posterior cingulate, prefrontal, and anterior hippocampal regions, and linearly correlated with the MMSE. This study shows the potential of voxel-based multivariate methods to highlight independent functional networks in dementing diseases. By maximizing the separation between groups, this method extracted a metabolic pattern that efficiently differentiated VaD and AD.
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“FDG-PET in VaD showed reduced uptake in deep grey structures, the cerebellum, the middle temporal gyrus and the anterior cingulate compared to AD [125].”
From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [125]
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“FDG-PET in VaD showed reduced uptake in deep grey structures, the cerebellum, the middle temporal gyrus and the anterior cingulate compared to AD [125].”
Result
Metadata
- Authors
- Kerrouche, N., Herholz, K., Mielke, R., Holthoff, V., & Baron, J.-C.
- Affiliations
- Inserm (FR)
- University of Cologne (DE)
- Department of Psychiatry and Psychotherapy, Dresden University of Technology, Dresden, Germany
- Corresponding author
- Baron, Jean-Claude
- Venue
- Journal of Cerebral Blood Flow & Metabolism
- Publisher
- SAGE Publications
- Published
- 2006-09
- Volume
- 26
- Issue
- 9
- Pages
- 1213-1221
- ISSN
- 0271-678X (ISSN-L)
- 1559-7016
- OpenAlex
- W2101670636
- Cited by
- 120
- References
- 51
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 8 · 2023: 6 · 2022: 3 · 2021: 4 · 2020: 7 · 2019: 6 · 2018: 5 · 2017: 3 · 2016: 3 · 2015: 4 · 2014: 9 · 2013: 7 · 2012: 10
- FWCI
- 5.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Cerebral Blood Flow & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- Kölner Universitäts PublikationsServer (Universität zu Köln) (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- vascular dementia, Alzheimer's disease, 18F-FDG PET, canonical variate analysis, brain glucose metabolism, differential diagnosis of dementia, functional brain networks, cognitive impairment
- MeSH terms
- Aged, Alzheimer Disease, Basal Ganglia, Cerebellum, Cerebral Cortex, Data Interpretation, Statistical, Diagnosis, Differential, Female, Gyrus Cinguli, Humans, Image Interpretation, Computer-Assisted, Male, Middle Aged, Neuropsychological Tests, Dementia, Vascular, Multivariate Analysis, Radiopharmaceuticals, Fluorodeoxyglucose F18, Principal Component Analysis, Positron-Emission Tomography
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