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Development of an AI-driven, FDG-PET based approach to track disease progression and evolution to phenoconversion in progranulin mutation carriers
Rochester, Minn.
The purpose of this study is to develop an AI-driven biomarker based on FDG-PET images to track longitudinal brain changes in asymptomatic (n = 10) and symptomatic (n = 10) GRN mutation carriers.
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Longitudinal Early-onset Alzheimer's Disease Study Protocol (LEADS)
Rochester, Minn.,
Jacksonville, Fla.
The purpose of this Longitudinal Early-onset Alzheimer's Disease Study (LEADS) is designed to look at disease progression in individuals with early onset cognitive impairment . Clinical/cognitive, imaging, biomarker, and genetic characteristics will be assessed across three cohorts: (1) early onset Alzheimer's Disease (EOAD) participants, (2) early onset non-Alzheimer's Disease (EO-nonAD) participants,and (3) cognitively normal (CN) control participants.
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