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- W2897907188 abstract "Hypothetical models of the evolution of Alzheimer's disease (AD) biomarkers predict a non-linear, sigmoid model. However, it is still unclear whether sigmoid is better fit model than linear models for progression of amyloid, tau, and neurodegeneration across the AD spectrum. [11C]PiB-, [18F]AV1451-PET, and 3T T1-weighted MRI were obtained for 110 subjects, including 49 cognitively normal controls (33 PiB-, and 16 PiB+), and 61 PiB+ patients (12 MCI, and 49 AD) (Table1). PiB 35-90min DVR and AV1451 80-100min SUVR images were created using cerebellar gray matter for PiB (PiB+=cortical DVR>1.065), and inferior cerebellar gray matter for AV1451. MRIs were processed with CIVET-pipeline to extract surfaces and measure the cortical thickness. Each measure was mapped onto the cortical surfaces, then surface-registered, and smoothed. Global measures were calculated by averaging imaging values across the cortex. We modeled global measures of each modality using both linear and logistic models. Disease evolution was estimated by applying a tiered evolution that ranks subject first by clinical stage, and then ranks subjects within each stage by. Akaike Information Criterion was used to determine the relative likelihood that biomarker progression best fit logistic or linear models. Finally, each estimated model of biomarker was normalized to facilitate comparisons between modalities. Modeled data shown in Figure 1 were with lines simulating linear and sigmoid curves. AIC determined a high probability for a sigmoid model for PiB (probability=100%) and AV1451 (97%), but probabilities of sigmoid vs. linear models were similar for cortical thickness (52% and 48%) (Table2). Figure 2 compares progression. PiB appeared to reach saturation at the early MCI phase, while AV1451 plateaued at mid-AD and cortical thickness appeared more dynamic through later stages of AD." @default.
- W2897907188 created "2018-10-26" @default.
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- W2897907188 date "2018-07-01" @default.
- W2897907188 modified "2023-10-12" @default.
- W2897907188 title "IC‐P‐136: MODELING AMYLOID, TAU, AND NEURODEGENERATION ACROSS THE ALZHEIMER'S DISEASE SPECTRUM: CROSS‐SECTIONAL STUDY" @default.
- W2897907188 doi "https://doi.org/10.1016/j.jalz.2018.06.2202" @default.
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