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Dataset Information

Establishing robust cognitive dimensions for characterization and differentiation of patients with Alzheimer's disease, mild cognitive impairment, frontotemporal dementia and depression.


ABSTRACT:

Objective

The diagnosis of mild cognitive impairment (MCI) and dementia requires detailed neuropsychological examinations. These examinations typically yield a large number of outcome variables, which may complicate the interpretation and communication of results. The purposes of this study were the following: (i) to reduce a large data set of interrelated neuropsychological variables to a smaller number of cognitive dimensions; (ii) to create a common metric for these dimensions (z-scores); and (iii) to study the ability of the cognitive dimensions to distinguish between groups of patients with different types of cognitive impairment.

Methods

We tested 1646 patients with different forms of dementia or with a major depression with a standard (n = 632) or, if cognitively less

SUBMITTER: Beck IR 

PROVIDER: S-EPMC4265200 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature