Profiling and predicting distinct tau progression patterns: An unsupervised data‐driven approach to flortaucipir positron emission tomography
Duygu Tosun,
Pamela Thropp,
Sudeepti Southekal
et al.
Abstract:INTRODUCTIONHow to detect patterns of greater tau burden and accumulation is still an open question.METHODSAn unsupervised data‐driven whole‐brain pattern analysis of longitudinal tau positron emission tomography (PET) was used first to identify distinct tau accumulation profiles and then to build baseline models predictive of tau‐accumulation type.RESULTSThe data‐driven analysis of longitudinal flortaucipir PET from studies done by the Alzheimer's Disease Neuroimaging Initiative, Avid Pharmaceuticals, and Har… Show more
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