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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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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