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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Clinical Evaluation of Brain Perfusion SPECT with Brodmann Areas Mapping in Early Diagnosis of Alzheimer’s Disease
Valotassiou, V. J., Papatriantafyllou, J. D., Sifakis, N., Tzavara, C. K., Tsougos, I., Psimadas, D., Fezoulidis, I. V., Kapsalaki, E. Z., Hadjigeorgiou, G. M., & Georgoulias, P. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150068 · Cited by 25
Omental Transposition in Treatment of Alzheimer Disease
Goldsmith, H. S. (2007) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2007.06.294 · Cited by 25
New approaches to diagnose and treat alzheimer's disease
Galasko, D. R. (2001) · Clinics in Geriatric Medicine · doi:10.1016/s0749-0690(05)70075-6 · Cited by 25
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke
Sridharan, R., Dalca, A. V., Fitzpatrick, K. M., Cloonan, L. K., Kanakis, A. S., Wu, O., Furie, K. L., Rosand, J. M., Rost, N. S., & Golland, P. (2013) · Lecture notes in computer science · doi:10.1007/978-3-319-02126-3_3 · Cited by 24
“For atlas-to-patient registration, we use the atlas constructed from 39 T1-weighted brain MRI scans and corresponding manual delineations that are part of the Freesurfer brain atlas [3,9,11].”
Hemoglobin binding to Aβ and HBG2 SNP association suggest a role in Alzheimer's disease
Perry, R. T., Gearhart, D. A., Wiener, H. W., Harrell, L. E., Barton, J. C., Kutlar, A., Kutlar, F., Ozcan, O., Go, R. C. P., & Hill, W. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.10.017 · Cited by 24
“Indeed, hypoperfusion may be an early pathogenic event in AD [38,45,93].”
Convolutional Neural Network based Alzheimer's Disease Prediction in MRI Images
Sudar, K. M., Nagaraj, P., Jeereddy, H. R., et al. (2022) · International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) · doi:10.1109/icscds53736.2022.9760792 · Cited by 23
Statins Prevent β-Amyloid Inhibition of Sympathetic α7-nAChR-Mediated Nitrergic Neurogenic Dilation in Porcine Basilar Arteries
Si, M.-L., Chen, L., Yang, D., Chen, M.-F., & Lee, T. J.-F. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600232 · Cited by 23
“Alzheimer’s disease (AD) is a primary neurodegenerative dementia featuring regional cerebral hypoperfusion in the early phase of disease progression (Kogure et al, 2000; Pavics et al, 1999; Johnson et al, 1998).”
Background
Evidence of Biochemical and Biomagnetic Interactions in Alzheimer’s Disease: An MEG and MR Spectroscopy Study
Maestú, F., García-Segura, J. M., Ortiz, T., Montoya, J., Fernández, A., Gil‐Gregorio, P., Campo, P., Fernández, S., Viano, J. C., & Portera, A. (2005) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000087062 · Cited by 23
“Other studies have shown a reduced blood perfusion in the temporoparietal cortex, hippocampus, amygdala, anterior thalamus and cingulate gyrus [ , , , ,”
Background
Effect of hypertension on the resting-state functional connectivity in patients with Alzheimer's disease (AD)
Son, S. J., Kim, J., Lee, E. M., Park, J. Y., Namkoong, K., Hong, C. H., Ku, J. H., Kim, E., & Oh, B. H. (2014) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2014.09.012 · Cited by 25
Multivariate Spatial Covariance Analysis of 99M Tc-Exametazime SPECT Images in Dementia with Lewy Bodies and Alzheimer'S Disease: Utility in Differential Diagnosis
Colloby, S. J., Taylor, J., Davison, C. M., Lloyd, J. J., Firbank, M., McKeith, I. G., & O'Brien, J. T. (2013) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2013.2 · Cited by 20
Covariance 99mTc-Exametazime SPECT Patterns in Alzheimer’s Disease and Dementia with Lewy Bodies: Utility in Differential Diagnosis
Colloby, S. J., Taylor, J., Firbank, M., McKeith, I. G., Williams, E. D., & O'Brien, J. T. (2009) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988709355272 · Cited by 21
“These procedures have been used in positron emission tomography (PET) and SPECT imaging studies of normal aging,(19-21) depression,(22) Parkinson disease (PD),(23-25) and AD.(18,26-28) The aim of the current study was to examine, using the SSM approach, the covariance pattern of Tc-exametazime SPECT images from semiau…”
Method
Increased midkine levels in sera from patients with Alzheimer's disease
Salama, R. H. M., Muramatsu, H., Shimizu, E., et al. (2005) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2005.01.018 · Cited by 22
Biomarkers for Evaluation of Clinical Efficacy of Multipotential Neuroprotective Drugs for Alzheimer's and Parkinson's Diseases
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Statistical maps of cerebral blood flow deficits in Alzheimer’s disease
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“These changes occur even in mildly affected patients, and have also been described in the pre-clinical stage (Kennedy et al., 1995; Johnson et al., 1998).”
Background
Deciphering the Interacting Mechanisms of Circadian Disruption and Alzheimer’s Disease
Uddin, M. S., Sumsuzzman, D. M., Jeandet, P., Behl, T., Rauf, A., Amran, M. S., & Ashraf, G. M. (2021) · Neurochemical Research · doi:10.1007/s11064-021-03325-x · Cited by 23
Regional contribution of vascular dysfunction in white matter dementia: clinical and neuropathological insights
Pansieri, J., Hadley, G., Lockhart, A., Pisa, M., & DeLuca, G. C. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1199491 · Cited by 21
Usefulness of visual evaluation of the anterior thalamic radiation by diffusion tensor tractography for differentiating between Alzheimer’s disease and elderly major depressive disorder patients
Niida, A., Kuniyoshi, Motomura, Uechi, & Niida (2013) · International Journal of General Medicine · doi:10.2147/ijgm.s42953 · Cited by 21
Three-dimensional stereotactic surface projection of brain perfusion SPECT improves diagnosis of Alzheimer’s disease
Honda, N., Machida, K., Matsumoto, T., et al. (2003) · Annals of Nuclear Medicine · doi:10.1007/bf02984969 · Cited by 20
Temporal Lobe Hypoperfusion in Isolated Amnesia with Slow Onset: A Single Photon Emission Computer Tomography Study
Høgh, P., Sjö, N. M., Gade, A., & Waldemar, G. (2004) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000077730 · Cited by 20
The Erythrocytic Hypothesis of Brain Energy Crisis in Sporadic Alzheimer Disease: Possible Consequences and Supporting Evidence
Kosenko, E. A., Tikhonova, L. A., Alilova, G. A., Urios, A., & Montoliu, C. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9010206 · Cited by 19
Cognitive dysfunction and cerebral volumetric deficits in individuals with Alzheimer's disease, alcohol use disorder, and dual diagnosis
Zhornitsky, S., Chaudhary, S., Le, T. M., Chen, Y. S., Zhang, S., Potvin, S., Chao, H. H., van Dyck, C. H., & Li, C. R. (2021) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2021.111380 · Cited by 19
Metabolic correlates of clinical heterogeneity in questionable Alzheimer's disease
Salmon, É., Lekeu, F., Garraux, G., Guillaume, B., Magis, D., Luxen, A., Moonen, G., & Collette, F. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.04.016 · Cited by 18
Rhinal hypometabolism on FDG PET in healthy APO-E4 carriers: impact on memory function and metabolic networks
Didic, M., Félician, O., Gour, N., Bernard, R., Pécheux, C., MUNDLER, O., Ceccaldi, M. P., & Guedj, É. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-015-3057-y · Cited by 19
“A further possibility is that this asymmetry could reflect, at the preclinical stage, predominantly left hemisphere structural and metabolic changes previously reported in AD [53–55].”
Background
Toward the Validation of Functional Neuroimaging as a Potential Biomarker for Alzheimer?s Disease: Implications for Drug Development
Pupi, A., Mosconi, L., Nobili, F. M., & Sorbi, S. (2004) · Molecular Imaging and Biology · doi:10.1007/s11307-005-0953-8 · Cited by 19
“[33].”
Neurosonological Examination: A Non-Invasive Approach for the Detection of Cerebrovascular Impairment in AD
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Relevance of functional neuroimaging in the progression of mild cognitive impairment
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Functional brain imaging applications to differential diagnosis in the dementias
Salmon, É. (2002) · Current Opinion in Neurology · doi:10.1097/00019052-200208000-00006 · Cited by 18
Brain Mapping in Dementia
Mega, M. S., Thompson, P. M., Toga, A. W., & Cummings, J. L. (2000) · Elsevier eBooks · doi:10.1016/b978-012481460-8/50012-3 · Cited by 19
Facile and rapid one-step radiosynthesis of [18F]BAY94-9172 with a new precursor
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“Radiolabeled imaging agents for direct mapping of Aβ in vivo with noninvasive techniques such as positron emission tomography (PET) and single-photon emission computed tomography would facilitate presymptomatic identification of this disorder and evaluation of therapies [2,3].”
Method
Tc-99m HMPAO brain SPECT findings in mild and moderate Alzheimer's disease: Correlation with event related potentials
Güngör, H. A., Yıldız, A., Aydın, F., Güngör, F., Boz, A., & Özkaynak, S. (2005) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2005.03.034 · Cited by 17
“There are some SPECT and PET studies that showed decreased perfusion and glucose metabolism in the posterior cingulate gyrus and precuneus [32–35].”
Background

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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