Empirically Derived Composite Cognitive Test Scores to Predict Preclinical and Clinical Stages of Alzheimer’s Disease

Alzheimer’s disease (AD) clinical trials require cognitive test scores that assess change in cognitive function accurately. Here, we propose new composite cognitive test scores to detect earlier stages of AD accurately by using the full neuropsychological testing battery (in ADNI) and a manifold learning dimension reduction technique namely UMAP.