Predicting dementia risk using neuroimaging and cognitive assessment.

ABSTRACT:

Introduction

Dementia affects over 55 million people globally, with numbers expected to double in the coming decades. Early detection is critical, yet traditional risk assessments relying on age, family history, and basic cognitive tests often fall short. This study explores whether combining structural brain imaging with brief cognitive assessments can more accurately predict dementia risk.

Method

Using data from 312 older adults enrolled in the KU Alzheimer's Disease Center cohort, researchers evaluated two modeling approaches: one based on a single clinic visit and another using longitudinal data across multiple visits. Participants underwent cognitive testing and MRI scans, including measures of hippocampal volume, gray matter, and Alzheimer's disease signature regions.

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12717778 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature