Braak neurofibrillary tangle staging prediction from in vivo MRI metrics.

ABSTRACT:

Introduction

Alzheimer's disease diagnosis requires postmortem visualization of amyloid and tau deposits. As brain atrophy can provide assessment of consequent neurodegeneration, our objective was to predict postmortem neurofibrillary tangles (NFT) from in vivo MRI measurements.

Methods

All participants with neuroimaging and neuropathological data from the Alzheimer's Disease Neuroimaging Initiative, the National Alzheimer's Coordinating Center and the Rush Memory and Aging Project were selected (n = 186). Two hundred and thirty two variables were extracted from last MRI before death using FreeSurfer. Nonparametric correlation analysis and multivariable support vector machine classification were performed to provide a predictive model of Braak NFT staging.

Results

We

SUBMITTER: Dallaire-Theroux C 

PROVIDER: S-EPMC6731211 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature