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The transmission of Alzheimer’s disease (AD) related pathology along neural pathways
is supported by cell, animal, and emerging neuroimaging evidence. However, the pattern
of spread of pathology in the preclinical stage of AD is not well known. In this study,
we developed a data-driven method for deriving propagation dynamics of networks of
amyloid pathology using longitudinal PET images and estimated disease progression
in a preclinical cohort.
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