Novel verbal fluency scores and structural brain imaging for prediction of cognitive outcome in mild cognitive impairment.

ABSTRACT:

Introduction

The objective of this study was to assess the utility of novel verbal fluency scores for predicting conversion from mild cognitive impairment (MCI) to clinical Alzheimer's disease (AD).

Method

Verbal fluency lists (animals, vegetables, F, A, and S) from 107 MCI patients and 51 cognitively normal controls were transcribed into electronic text files and automatically scored with traditional raw scores and five types of novel scores computed using methods from machine learning and natural language processing. Additional scores were derived from structural MRI scans: region of interest measures of hippocampal and ventricular volumes and gray matter scores derived from performing ICA on measures of cortical thickness. Over 4 years of follow-up, 24 MCI patients conver

SUBMITTER: Clark DG 

PROVIDER: S-EPMC4879664 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature