Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI

By Susan M. Landau, D. Harvey, Cindee M. Madison, Robert A. Koeppe, Eric M. Reiman, N. Foster, Michael W. Weiner, William J. Jagust. Neurobiology of Aging, 2009

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The Functional Activities Questionnaire (FAQ) and Alzheimer’s Disease Assessment Scale – cognitive subscale (ADAS-cog) are frequently-used indices of cognitive decline in Alzheimer’s disease (AD). The goal of this study was to compare FDG-PET and clinical measurements in a large sample of elderly subjects with memory disturbance. We examined relationships between glucose metabolism in FDG-PET regions of interest (FDG-ROIs), and ADAS-cog and FAQ scores in AD and mild cognitive impairment (MCI) patients enrolled in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Low glucose metabolism at baseline predicted subsequent ADAS-cog and FAQ decline. In addition, longitudinal glucose metabolism decline was associated with concurrent ADAS-cog and FAQ decline. Additionally, a power analysis revealed that FDG-ROI values have greater statistical power than ADAS-cog to detect attenuation of cognitive decline in AD and MCI patients. Glucose metabolism is a sensitive measure of change in cognition and functional ability in AD and MCI, and has value in predicting future cognitive decline.

Subfields: Cognitive Neuroscience, Physiology, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/0a72eedb89dd8e9f1ee8756efbf540f4453e8a47

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Citations in the corpus

Amyloid Deposition, Hypometabolism, and Longitudinal Cognitive Decline (2012, positive): “We determined mean FDG uptake for each subject within a set of predefined and previously validated(3,18) regions of interest (metaROIs) based on a literature review as described elsewhere in detail.(19) Each subject’s summary FDG index was the mean of the 5 metaROIs (right and left inferior temporal”
Vascular dysfunction – the disregarded partner of Alzheimer’s disease (2019, positive): “Diminished glucose uptake in the hippocampus, parieto-temporal cortex, and/or posterior cingulate cortex has been repeatedly shown by FDG-PET in early AD [85] and also in individuals at genetic risk for AD [86,87], with a positive family history of AD [88], and/or MCI or no cognitive impairment befo”
Defining imaging biomarker cut points for brain aging and Alzheimer's disease (2017, neutral): “or “meta-ROI” was formed from the voxel-number weighted average of the median uptake in the angular gyrus, posterior cingulate, and inferior temporal cortical ROIs and normalized to the pons and vermis median [41].”
Different Partial Volume Correction Methods Lead to Different Conclusions: an 18F-FDG PET Study of Aging (2016, background): “For example de Leon et al., 1987; Hawkins et al., 1983; Kuhl et al., 1982 found no changes with age while Herholz et al., 2002; Loessner et al., 1995; Moeller et al., 1996; PetitTaboue et al., 1998; Yoshizawa et al., 2014 found change with age.”
The Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception (2011, positive): “A degree of agreement with these results was found by Landau et al [173], who studied a range of predictors of conversion to AD and cognitive decline, including FDG-PET measures, CSF biomarkers, APOE 34 status, and hippocampal atrophy, that were defined dichotomously according to their ability to se”