PREFRONTAL BRAIN ACTIVITY PREDICTS TEMPORALLY EXTENDED DECISION-MAKING BEHAVIOR
Corresponding Author
Tal Yarkoni
WASHINGTON UNIVERSITY AND YALE UNIVERSITY
Washington University
Washington University, Department of Psychology, Campus Box 1125, St. Louis, Missouri 63130 (e-mail: [email protected]).Search for more papers by this authorTodd S. Braver
WASHINGTON UNIVERSITY AND YALE UNIVERSITY
Washington University
Search for more papers by this authorJeremy R. Gray
WASHINGTON UNIVERSITY AND YALE UNIVERSITY
Yale University.
Search for more papers by this authorLeonard Green
WASHINGTON UNIVERSITY AND YALE UNIVERSITY
Washington University
Search for more papers by this authorCorresponding Author
Tal Yarkoni
WASHINGTON UNIVERSITY AND YALE UNIVERSITY
Washington University
Washington University, Department of Psychology, Campus Box 1125, St. Louis, Missouri 63130 (e-mail: [email protected]).Search for more papers by this authorTodd S. Braver
WASHINGTON UNIVERSITY AND YALE UNIVERSITY
Washington University
Search for more papers by this authorJeremy R. Gray
WASHINGTON UNIVERSITY AND YALE UNIVERSITY
Yale University.
Search for more papers by this authorLeonard Green
WASHINGTON UNIVERSITY AND YALE UNIVERSITY
Washington University
Search for more papers by this authorAbstract
Although functional neuroimaging studies of human decision-making processes are increasingly common, most of the research in this area has relied on passive tasks that generate little individual variability. Relatively little attention has been paid to the ability of brain activity to predict overt behavior. Using functional magnetic resonance imaging (fMRI), we investigated the neural mechanisms underlying behavior during a dynamic decision task that required subjects to select smaller, short-term monetary payoffs in order to receive larger, long-term gains. The number of trials over which the long-term gains accrued was manipulated experimentally (2 versus 12). Event-related neural activity in right lateral prefrontal cortex, a region associated with high-level cognitive processing, selectively predicted choice behavior in both conditions, whereas insular cortex responded to fluctuations in amount of reward but did not predict choice behavior. These results demonstrate the utility of a functional neuroimaging approach in behavioral psychology, showing that (a) highly circumscribed brain regions are capable of predicting complex choice behavior, and (b) fMRI has the ability to dissociate the contributions of different neural mechanisms to particular behavioral tasks.
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