Temporospatial components of brain ERPs as biomarkers for Alzheimer's disease.

ABSTRACT:

Introduction

Developing biomarkers that distinguish individuals with Alzheimer's disease (AD) from those with normal cognition remains a crucial goal for improving the health of older adults. We investigated adding brain spatial information to temporal event-related potentials (ERPs) to increase AD identification accuracy over temporal ERPs alone.

Methods

With two-step principal components analysis, we applied multivariate analyses that incorporated temporal and spatial ERP information from a cognitive task. Discriminant analysis used temporospatial ERP scores to classify participants as belonging to either the AD or healthy control group.

Results

Temporospatial ERPs produced a cross-validated area under the curve of 0.84. Adding spatial information through a formal p

SUBMITTER: Chapman RM 

PROVIDER: S-EPMC6215980 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature