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    J Int Neuropsychol Soc. 2010 Jul;16(4):721-9.

    Hierarchical cognitive and psychosocial predictors of amnestic mild cognitive impairment.

    Han SD, Suzuki H, Jak AJ, Chang YL, Salmon DP, Bondi MW.

    Source

    Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA. Duke_Han@rush.edu

    Abstract

    To identify neuropsychological and psychosocial factors predictive of amnestic Mild Cognitive Impairment (aMCI) among a group of 94 nondemented older adults, we employed a novel nonlinear multivariate classification statistical method called Optimal Data Analysis (ODA) in a dataset collected annually for 3 years. Performance on measures of memory and visuomotor processing speed or symptoms of depression in year 1 predicted aMCI status by year 2. Performance on a measure of learning at year 1 predicted aMCI status at year 3. No other measures significantly predicted incidence of aMCI at years 2 and 3. Results support the utility of multiple neuropsychological and psychosocial measures in the diagnosis of aMCI, and the present model may serve as a testable hypothesis for prospective investigations of the development of aMCI.

    PMID:
    20561399
    [PubMed - indexed for MEDLINE]
    PMCID:
    PMC3005198
    Free PMC Article

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