Functional MRI and ApoE4 genotype for predicting cognitive decline in amyloid-positive individuals.

ABSTRACT:

Background

In light of advancements in machine learning techniques, many studies have implemented machine learning approaches combined with data measures to predict and classify Alzheimer's disease. Studies that predicted cognitive status with longitudinal follow-up of amyloid-positive individuals remain scarce, however.

Objective

We developed models based on voxel-wise functional connectivity (FC) density mapping and the presence of the ApoE4 genotype to predict whether amyloid-positive individuals would experience cognitive decline after 1 year.

Methods

We divided 122 participants into cognitive decline and stable cognition groups based on the participants' change rates in Mini-Mental State Examination scores. In addition, we included 68 participants from Alz

SUBMITTER: Zhu JD 

PROVIDER: S-EPMC9677312 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature