Predicting amyloid status using self‐report information from an online research and recruitment registry: The Brain Health Registry

Predicting amyloid status using self‐report information from an online research and recruitment registry: The Brain Health Registry

Abstract Introduction This study aimed to predict brain amyloid beta (Aβ) status in older adults using collected information from an online registry focused on cognitive aging. Methods Aβ positron emission tomography (PET) was obtained from multiple in‐clinic studies. Using logistic regression, we p...

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Bibliographic Details
Main Authors: Miriam T. Ashford, John Neuhaus, Chengshi Jin, Monica R. Camacho, Juliet Fockler, Diana Truran, R. Scott Mackin, Gil D. Rabinovici, Michael W. Weiner, Rachel L. Nosheny
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Subjects:
amyloid
Brain Health Registry
cognitively unimpaired
dementia
IDEAS study
Internet
Online Access:https://doi.org/10.1002/dad2.12102

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