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Previously, we have developed an in-vivo staging model of regional amyloid progression
based on the frequency of regional amyloid-positivity across cross-sectional Florbetapir-PET
scans of older individuals. Here we refine the assessment of amyloid spread by incorporating
regionally varying positivity thresholds into our staging model and assess its consistency
in longitudinal PET data.
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