Principal-Component Analysis-Based Measures of PET Data Closely Reflect Neuropathologic Staging Schemes.

ABSTRACT: Voxel-based principal-component analysis allows for an identification of patterns of glucose metabolism and amyloid deposition related to the conversion from mild cognitive impairment (MCI) to Alzheimer disease (AD). The present study aimed to validate these AD conversion-related patterns (ADCRPs) against neuropathologic findings. Methods: We included patients from the Alzheimer's Disease Neuroimaging Initiative who underwent autopsy and for whom ¹⁸F-FDG PET (30 AD, 6 MCI, 2 cognitively normal) and amyloid-β (Aβ) PET (17 AD, 3 MCI, 2 cognitively normal) were available. Pattern expression scores (PESs) of the ¹⁸F-FDG- and Aβ-ADCRP were compared with Braak tangle stage and Thal amyloid phase, respectively. Mean ¹⁸F-FDG uptake and mean ¹⁸F-AV

SUBMITTER: Blazhenets G 

PROVIDER: S-EPMC8729867 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature