In Alzheimer's & dementia : the journal of the Alzheimer's Association
INTRODUCTION : A data-driven index of dementia risk based on magnetic resonance imaging (MRI), the Alzheimer's Disease Pattern Similarity (AD-PS) score, was estimated for participants in the Atherosclerosis Risk in Communities (ARIC) study.
METHODS : AD-PS scores were generated for 839 cognitively non-impaired individuals with a mean follow-up of 4.86 years. The scores and a hypothesis-driven volumetric measure based on several brain regions susceptible to AD were compared as predictors of incident cognitive impairment in different settings.
RESULTS : Logistic regression analyses suggest the data-driven AD-PS scores to be more predictive of incident cognitive impairment than its counterpart. Both biomarkers were more predictive of incident cognitive impairment in participants who were White, female, and apolipoprotein E gene (APOE) ε4 carriers. Random forest analyses including predictors from different domains ranked the AD-PS scores as the most relevant MRI predictor of cognitive impairment.
CONCLUSIONS : Overall, the AD-PS scores were the stronger MRI-derived predictors of incident cognitive impairment in cognitively non-impaired individuals.
Casanova Ramon, Hsu Fang-Chi, Barnard Ryan T, Anderson Andrea M, Talluri Rajesh, Whitlow Christopher T, Hughes Timothy M, Griswold Michael, Hayden Kathleen M, Gottesman Rebecca F, Wagenknecht Lynne E
AD-PS, ARIC, “Alzheimers disease”, MRI, machine learning, random forest