Predicting amyloid risk by machine learning algorithms based on the A4 screen data: Application to the Japanese Trial-Ready Cohort study
Background Selecting cognitively normal elderly individuals with higher risk of brain amyloid deposition is critical to the success of prevention trials for Alzheimer’s disease (AD). Methods Based on the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Disease study […]
Associations between Performance on an Abbreviated CogState Battery, Other Measures of Cognitive Function, and Biomarkers in People at Risk for Alzheimer’s Disease
It is not known whether computerized cognitive assessments, like the CogState battery, are sensitive to preclinical cognitive changes or pathology in people at risk for Alzheimer’s disease(AD). In 469 late middle-aged participants from the Wisconsin Registry […]
APOE ε4 moderates amyloid-related memory decline in preclinical Alzheimer’s disease
The apolipoprotein E (APOE) ɛ4 allele and high levels of beta-amyloid (Aβ) are associated with episodic memory decline and risk for Alzheimer’s disease. However, there is debate about independent or interactive effects of ɛ4 on Aβ-related […]