Modeling the heterogeneity in risk of progression to Alzheimer's disease across cognitive profiles in mild cognitive impairment.

ABSTRACT:

Introduction

Heterogeneity in risk of conversion to Alzheimer's disease (AD) among individuals with mild cognitive impairment (MCI) is well known. Novel statistical methods that are based on partially ordered set (poset) models can be used to create models that provide detailed and accurate information about performance with specific cognitive functions. This approach allows for the study of direct links between specific cognitive functions and risk of conversion to AD from MCI. It also allows for further delineation of multi-domain amnestic MCI, in relation to specific non-amnestic cognitive deficits, and the modeling of a range of episodic memory functioning levels.

Methods

From the Alzheimer's Disease Neuroimaging Initiative (ADNI) study, conversion at 24 months of 268 MC

SUBMITTER: Tatsuoka C 

PROVIDER: S-EPMC3707057 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature