Neuropsychological Subgroups in Non-Demented Parkinson's Disease: A Latent Class Analysis.

ABSTRACT:

Background

Methods to detect early cognitive decline and account for heterogeneity of deficits in Parkinson's disease (PD) are needed. Quantitative methods such as latent class analysis (LCA) offer an objective approach to delineate discrete phenotypes of impairment.

Objective

To identify discrete neurocognitive phenotypes in PD patients without dementia.

Methods

LCA was applied to a battery of 8 neuropsychological measures to identify cognitive subtypes in a cohort of 199 non-demented PD patients. Two measures were analyzed from each of four domains: executive functioning, memory, visuospatial abilities, and language. Additional analyses compared groups on clinical characteristics and cognitive diagnosis.

Results

LCA identified 3 distinct groups of PD patients

SUBMITTER: Brennan L 

PROVIDER: S-EPMC5548408 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature