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

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

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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Crossref · 10.1212/wnl.50.6.1563

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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)
Venue
Neurology
Published
1998-06
Volume
50
Issue
6
Pages
1563-1571
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
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
  • Health Sciences › Medicine › Physiology › 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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