Comparing Data-driven and Hypothesis-driven MRI-based Predictors of Cognitive Impairment in Individuals from the Atherosclerosis Risk in Communities (ARIC) Study

Overview

Journal Alzheimers Dement

Specialties Neurology
Psychiatry

Date 2021 Jul 26

PMID 34310039

Citations 4

Authors

Ramon Casanova

Fang-Chi Hsu

Ryan T Barnard

Andrea M Anderson

Rajesh Talluri

Christopher T Whitlow

Timothy M Hughes

Michael Griswold

Kathleen M Hayden

Rebecca F Gottesman

Lynne E Wagenknecht

Affiliations

Soon will be listed here.

Abstract

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.

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