Journals of Gerontology Series B: Psychological Sciences and Social Sciences
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The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 63:P84-P91 (2008)
© 2008 The Gerontological Society of America


RESEARCH ARTICLE

Storage and Executive Components of Working Memory: Integrating Cognitive Psychology and Behavior Genetics in the Study of Aging

William S. Kremen, Hong Xian, Kristen C. Jacobson, Lindon J. Eaves, Carol E. Franz, Matthew S. Panizzon, Seth A. Eisen, Andrew Crider and Michael J. Lyons

1 Department of Psychiatry and 2 Center for Behavioral Genomics, University of California, San Diego, La Jolla.
Departments of 3 Veterans Affairs and 4 Internal Medicine, Washington University, St. Louis, Missouri.
5 Department of Psychiatry, University of Chicago, Illinois.
6 Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond.
7 Department of Psychiatry, Washington University, St. Louis, Missouri.
8 Department of Psychology, Williams College, Williamstown, Massachusetts.
9 Department of Psychology, Boston University, Massachusetts.

Address correspondence to William S. Kremen, PhD, Department of Psychiatry, Center for Behavioral Genomics, University of California–San Diego, 9500 Gilman Drive (MC 0738), La Jolla, CA. E-mail: wkremen{at}ucsd.edu

We combined experimental cognitive and behavior genetic methods to investigate storage and executive components of working memory in 663 middle-aged male twins. A single latent factor model indicated that digits forward (storage) and two-digit transformation (executive + storage) scores were influenced by the same genes. Additional executive demands in digit transformation appeared to increase the variance of individual genetic differences from 25% for digits forward to 48% and 53% for the digit transformation scores. Although it was not the best model, a two-factor model also provided a good fit to the data. This model suggested the possibility of a second set of genes specifically influencing the executive component. We discuss the findings in the context of research suggesting that new genetic influences come into play if demand continues to increase beyond a certain threshold, a threshold that may change with task difficulty and with age.

Key Words: Cognitive psychology • Twin–behavior genetic methods • Working memory







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