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

摘要

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