Prediction of Alzheimer's disease pathophysiology based on cortical thickness patterns.

ABSTRACT:

Introduction

Recent studies have shown that pathologically defined subtypes of Alzheimer's disease (AD) represent distinctive atrophy patterns and clinical characteristics. We investigated whether a cortical thickness-based clustering method can reflect such findings.

Methods

A total of 77 AD subjects from the Alzheimer's Disease Neuroimaging Initiative 2 data set who underwent 3-T magnetic resonance imaging, [(18)F]-fluorodeoxyglucose-positron emission tomography (PET), [(18)F]-Florbetapir PET, and cerebrospinal fluid (CSF) tests were enrolled. After clustering based on cortical thickness, diverse imaging and biofluid biomarkers were compared between these groups.

Results

Three cortical thinning patterns were noted: medial temporal (MT; 19.5%), diffuse (55.8%), and p

SUBMITTER: Hwang J 

PROVIDER: S-EPMC4879518 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature