Use of brain MRI atlases to determine boundaries of age-related pathology: the importance of statistical method.

ABSTRACT:

Introduction

Neurodegenerative disease diagnoses may be supported by the comparison of an individual patient's brain magnetic resonance image (MRI) with a voxel-based atlas of normal brain MRI. Most current brain MRI atlases are of young to middle-aged adults and parametric, e.g., mean ± standard deviation (SD); these atlases require data to be Gaussian. Brain MRI data, e.g., grey matter (GM) proportion images, from normal older subjects are apparently not Gaussian. We created a nonparametric and a parametric atlas of the normal limits of GM proportions in older subjects and compared their classifications of GM proportions in Alzheimer's disease (AD) patients.

Methods

Using publicly available brain MRI from 138 normal subjects and 138 subjects diagnosed with AD (all 55-90 ye

SUBMITTER: Dickie DA 

PROVIDER: S-EPMC4449178 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature