Cited by 471Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsMedical Imaging Techniques and Applications

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Preclinical prediction of Alzheimer's disease using SPECT

Johnson, K. A., Jones, K., Holman, B. L., Becker, J. A., Spiers, P. A., Satlin, A., Albert, M. S.·1998·Neurology

DOI 10.1212/wnl.50.6.1563

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Abstract

BACKGROUND: Regional cerebral perfusion measured by single photon emission computed tomography (SPECT) was examined as a preclinical predictor of the development of Alzheimer's disease (AD). METHODS: Singular value decomposition was used to produce 20 SPECT factors (known as vectors) (n=152). Vector scores were then computed for four groups (n=136), differing in cognitive status: Group 1--normal controls at both baseline and follow-up; Group 2--subjects with "questionable" AD at both baseline and follow-up; Group 3--subjects with questionable AD at baseline who converted to AD on follow-up (Converters); Group 4--subjects with AD at baseline. All SPECT data in the analyses were gathered at baseline. RESULTS: The four groups could be distinguished on the basis of their baseline SPECT data (p < or = 0.00005; hit rate=83%). Regional decreases in perfusion were most prominent among Converters in the hippocampal-amygdaloid complex, the posterior cingulate, the anterior thalamus, and the anterior cingulate. Inclusion of apolipoprotein E status did not significantly improve the discrimination. CONCLUSIONS: SPECT data gathered and analyzed in this manner may be useful as one aspect of the preclinical prediction of AD. Three of the four brain regions important for discriminating Converters from normal controls involve a distributed brain network pertaining to memory, suggesting that this network may be selectively affected in the earliest stages of AD.

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“Greatest gray matter loss in temporo-parietal cortex may underlie the prominent temporal-parietal hypometabolism found consistently at this stage of AD, often asymmetrically (with great impairments in the left hemisphere; Friedland and Luxenberg, 1988; Johnson et al., 1998).”
Perfusion Imaging and Inflammation Biomarkers Provide Complementary Information in Alzheimer’s Disease
Michopoulou, S. K., Prosser, A. M. J., Dickson, J. C., Guy, M., Teeling, J. L., & Kipps, C. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230726 · Cited by 3
“Reduction of brain perfusion results in suboptimal delivery of energy, promoting neuronal disfunction [9], and perfusion SPECT is particularly valuable in the early stages of Alzheimer’s disease (AD) [10].”
BackgroundResult
AUTOMATIC CLASSIFICATION OF STRUCTURAL MRI FOR DIAGNOSIS OF NEURODEGENERATIVE DISEASES
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Endothelin-Converting Enzyme-2
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SPECT and Alzheimer's Disease
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NEUROIMAGING IN DEMENTIA
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Self-citation
The Design and Manufacture of an Annular Variable-Focusing Collimator for Highsensitivity Brain SPECT
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“Perfusion imaging of central structures can be useful in early diagnosis of Alzheimer disease [1].”
Background
Characterizing Cerebral Perfusion Changes in Subjective Cognitive Decline Using Single Photon Emission Computed Tomography: A Case-Control Study
Lin, Y., Lin, L., Kao, C.-H., Chen, I.-J., Cheng, C., Tsai, C.-L., Lee, J., Sung, Y., Chou, C.-H., Yen, S.-Y., et al. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13226855 · Cited by 2
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Mild cognitive impairment
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Cluster Analysis and Decision Trees of MR Imaging in Patients Suffering Alzheimer’s
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“The rate of progression from MCI to dementia is considerable according to estimates from several longitudinal studies: 12% per year for 4 years [1], 40% over 2 years [ 2 ], 53% over 3 years [3], 34%–100% over 4–5 years [4,5], and 100% over 9.5 years [6].”
MethodInfluential
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Posterior cingulate cortex atrophy across the Alzheimer's disease spectrum: A cross-sectional MRI study linking volumetrics to cognitive decline
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“28,43,44 The underlying pathophysiological mechanisms involve amyloid accumulation and brain atrophy, following a spatial pattern that is very similar to that of DMN. 45 A study by Greicius demonstrated that, in the early phase of AD, reduced functional connectivity within the DMN disrupts the…”

Authors: Johnson, K. A., Jones, K., Holman, B. L., Becker, J. A., Spiers, P. A., Satlin, A., & Albert, M. S.
Affiliations: Brigham and Women's Hospital (US)
ORCID: Johnson, K. A.
Jones, K.
Becker, J. A.
Satlin, A.
Albert, M. S.
Venue: Neurology
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 1998-06
Volume: 50
Issue: 6
Pages: 1563-1571
ISSN: 0028-3878 (ISSN-L)
1526-632X
DOI: 10.1212/wnl.50.6.1563
OpenAlex: W1964965688
Cited by: 471
References: 0
Citations by year: 2026: 3 · 2025: 5 · 2024: 4 · 2023: 8 · 2022: 9 · 2021: 6 · 2020: 7 · 2019: 4 · 2018: 4 · 2017: 11 · 2016: 12 · 2015: 17 · 2014: 13 · 2013: 15 · 2012: 12
FWCI: 15.27
Type: journal article
Language: en
Open access: closed
Locations: Neurology (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health (5r01ag009301-08)
National Institute on Aging (R01-AG09301, P01AG004953)
National Center for Research Resources (M01RR000088)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
Keywords: Alzheimer's disease, single photon emission computed tomography, regional cerebral blood flow, singular value decomposition, posterior cingulate cortex, anterior thalamic nuclei, anterior cingulate cortex, apolipoprotein E, memory networks, cognitive decline
MeSH terms: Aged, Alzheimer Disease, Brain, Cerebrovascular Circulation, Female, Forecasting, Humans, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Tomography, Emission-Computed, Single-Photon, Discriminant Analysis, Disease Progression

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Preclinical prediction of Alzheimer's disease using SPECT

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