Hostname: page-component-76fb5796d-qxdb6 Total loading time: 0 Render date: 2024-04-26T14:34:22.575Z Has data issue: false hasContentIssue false

The Influence of Cognitive Reserve on Strategy Selection in Normal Aging

Published online by Cambridge University Press:  29 May 2013

Daniel J. Barulli
Affiliation:
Cognitive Neuroscience Division of the Department of Neurology, and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, New York
Brian C. Rakitin
Affiliation:
Cognitive Neuroscience Division of the Department of Neurology, and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, New York
Patrick Lemaire
Affiliation:
Université de Provence, Centre National de la Recherche Scientifique, and Institut Universitaire de France, Marseille, France
Yaakov Stern*
Affiliation:
Cognitive Neuroscience Division of the Department of Neurology, and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, New York
*
Correspondence and reprint requests to: Yaakov Stern, Taub Institute, Columbia University, 630 West 168th St, P&S Box 16, PH Building 18-322, New York, NY 10032. E-mail: ys11@columbia.edu

Abstract

Cognitive reserve (CR) has been proposed as a latent variable that can account for the frequent discrepancy between an individual's underlying level of brain pathology and their observed clinical outcome. A possible behavioral manifestation of CR is best strategy choice. Older adults have been shown to choose sub-optimal strategies for performing various tasks. The present study attempted to investigate whether greater levels of CR could predict greater strategy selection, particularly in older adults. A computational estimation task was administered to 20 healthy young adults (mean age = 24.7 ± 3.6; 20–31 years) and 18 healthy older adults (68.2 ± 4.5; 62–77 years) wherein participants needed to estimate the product of two two-digit numbers by using one of two strategies. The results revealed an effect of age group on strategy choice and supported the hypothesis that CR is associated with increased strategy selection abilities. (JINS, 2013, 19, 1–4)

Type
Brief Communication
Copyright
Copyright © The International Neuropsychological Society 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Duverne, S., Lemaire, P. (2004). Age-related differences in arithmetic problem-verification strategies. Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 59, 135142.CrossRefGoogle ScholarPubMed
E-Prime (2004). PSTNet [Computer software].Google Scholar
Grober, E., Sliwinsky, M. (1991). Development and validation of a model for estimating premorbid verbal intelligence in the elderly. Journal of Clinical and Experimental Neuropsychology, 13, 933949.CrossRefGoogle Scholar
Hodzik, S., Lemaire, P. (2011). Inhibition and shifting capacities mediate adults’ age-related differences in strategy selection and repertoire. Acta Psychologica, 137, 335344.CrossRefGoogle ScholarPubMed
Kumar, A., Rakitin, B.C., Nambisan, R., Habeck, C., Stern, Y. (2008). The response-signal method reveals age-related changes in object working-memory. Psychology and Aging, 23, 315329.CrossRefGoogle ScholarPubMed
Lemaire, P. (2010). Cognitive strategy variations during aging. Current Directions in Psychological Science, 19, 363369.CrossRefGoogle Scholar
Lemaire, P., Arnaud, L., Lecacheur, M. (2004). Adults’ age-related differences in adaptivity of strategy choices: Evidence from computational estimation. Psychology and Aging, 10, 467481.CrossRefGoogle Scholar
Mattis, S. (1988). Dementia Rating Scale: Professional Manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Siegel, S. (1956). Nonparametric statistics for the behavioral sciences. New York: McGraw Hill.Google Scholar
Stern, Y. (2009). Cognitive reserve. Neuropsychologica, 47, 20152028.CrossRefGoogle ScholarPubMed