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Hierarchical cognitive and psychosocial predictors of amnestic mild cognitive impairment

Published online by Cambridge University Press:  21 June 2010

S. DUKE HAN ,
HIDEO SUZUKI ,
AMY J. JAK ,
YU-LING CHANG ,
DAVID P. SALMON  and
MARK W. BONDI
S. DUKE HAN*
Affiliation:
Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois
HIDEO SUZUKI
Affiliation:
Department of Biology, Loyola University Chicago, Chicago, Illinois
AMY J. JAK
Affiliation:
Department of Psychiatry, University of California San Diego School of Medicine, San Diego, California Psychology Service, VA San Diego Healthcare System, San Diego, California
YU-LING CHANG
Affiliation:
Department of Psychiatry, University of California San Diego School of Medicine, San Diego, California
DAVID P. SALMON
Affiliation:
Department of Neuroscience, University of California San Diego School of Medicine, San Diego, California
MARK W. BONDI
Affiliation:
Department of Psychiatry, University of California San Diego School of Medicine, San Diego, California Psychology Service, VA San Diego Healthcare System, San Diego, California
*
*Correspondence and reprint requests to: S. Duke Han, Ph.D., Department of Behavioral Sciences, Rush University Medical Center, 1653 West Congress Parkway, Chicago, IL 60612-3833. E-mail: Duke_Han@rush.edu
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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. (JINS, 2010, 16, 721–729.)

Keywords

Amnestic mild cognitive impairmentaMCIMCINeuropsychologyMemoryVisuomotor processing speedD-KEFSDepressionOptimal data analysis
Type
Brief Communications
Information
Journal of the International Neuropsychological Society , Volume 16 , Issue 4 , July 2010 , pp. 721 - 729
Copyright
Copyright © The International Neuropsychological Society 2010

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