The DOI matches its Crossref record; 50 of the 51 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Román, G. C., Tatemichi, T. K., Erkinjuntti, T., Cummings, J. L., Masdeu, J. C., Garcia, J. H., Amaducci, L., Orgogozo, J.-M., Brun, A., Hofman, A., et al. (1993) · Neurology · doi:10.1212/wnl.43.2.250 · Cited by 4,921
A User's Guide to Principal Components
Leigh, S. D., & Jackson, J. E. (1993) · Technometrics · doi:10.2307/1269292 · Cited by 3,346
A Use's Guide to Principal Components
Jackson, J. E. (1991) · Wiley series in probability and statistics · doi:10.1002/0471725331 · Cited by 2,523
Brain Infarction and the Clinical Expression of Alzheimer Disease<subtitle>The Nun Study</subtitle>
Snowdon, D. A. (1997) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1997.03540340047031 · Cited by 1,590
The Generalization of Student's Ratio
Hotelling, H. (1931) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177732979 · Cited by 1,561
de Leeuw, F.-E. (2001) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.70.1.9 · Cited by 1,291
The prevalence of frontotemporal dementia
Ratnavalli, E., Brayne, C., Dawson, K. E., & Hodges, J. R. (2002) · Neurology · doi:10.1212/wnl.58.11.1615 · Cited by 1,182
O'Brien, J. T., Erkinjuntti, T., Reisberg, ., Román, G. C., Pantoni, L., Bowler, J., Ballard, C., DeCarli, C., Gorelick, P., Rockwood, K., et al. (2014) · International Journal of Stroke · doi:10.1111/ijs.12374_18 · Cited by 1,165
O'Brien, J. T., Erkinjuntti, T., Reisberg, B., Roman, G., Sawada, T., Pantoni, L., Bowler, J. V., Ballard, C., DeCarli, C., Gorelick, P. B., et al. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00305-3 · Cited by 1,139
Research works printed but not linked: 4
- Baron JC, 1998, Rev Neurol, 154, 122
- Graham NL, 2004, J Neurol Neurosurg Psychiatry, 75, 61
- Herholz K, 1990, Dementia, 1, 156
- Salmon E, 1994, J Nucl Med, 35, 391
Cited by
Sorted by citations
Brain PET in Suspected Dementia: Patterns of Altered FDG Metabolism
Brown, R. K. J., Bohnen, N. I., Wong, K. K., Minoshima, S., & Frey, K. A. (2014) · RadioGraphics · doi:10.1148/rg.343135065 · Cited by 256
Brain FDG PET and the Diagnosis of Dementia
Shivamurthy, V. K. N., Tahari, A. K., Marcus, C., & Subramaniam, R. M. (2015) · American Journal of Roentgenology · doi:10.2214/ajr.13.12363 · Cited by 227
Nobili, F. M., Arbizu, J., Bouwman, F. H., Drzezga, A. E., Agosta, F., Nestor, P. J., Walker, Z., Boccardi, M., & the EANM‐EAN Task Force for the Prescription of FDG‐PET for Dementing Neurodegenerative Disorders (2018) · European Journal of Neurology · doi:10.1111/ene.13728 · Cited by 220
Cognitive and Behavioral Neurology
Finger, E. C., & Daffner, K. R. (2011) · Springer eBooks · doi:10.1007/978-0-387-88555-1_8 · Cited by 201
The use of neuroimaging techniques in the early and differential diagnosis of dementia
Chouliaras, L., & O’Brien, J. T. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02215-8 · Cited by 221
“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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
