Journal
HUMAN BRAIN MAPPING
Volume 35, Issue 8, Pages 3738-3749Publisher
WILEY
DOI: 10.1002/hbm.22433
Keywords
decision-making; reward prediction errors; fictive learning; emotion regulation; reappraisal; insula; fMRI
Funding
- National Institute of Health [RC4 AG039067, R01 DA011723, R01 MH MH085496]
- Kane Family Foundation
- Principal Research Fellowship from The Wellcome Trust
Ask authors/readers for more resources
Computational models of reward processing suggest that foregone or fictive outcomes serve as important information sources for learning and augment those generated by experienced rewards (e. g. reward prediction errors). An outstanding question is how these learning signals interact with top-down cognitive influences, such as cognitive reappraisal strategies. Using a sequential investment task and functional magnetic resonance imaging, we show that the reappraisal strategy selectively attenuates the influence of fictive, but not reward prediction error signals on investment behavior; such behavioral effect is accompanied by changes in neural activity and connectivity in the anterior insular cortex, a brain region thought to integrate subjective feelings with high-order cognition. Furthermore, individuals differ in the extent to which their behaviors are driven by fictive errors versus reward prediction errors, and the reappraisal strategy interacts with such individual differences; a finding also accompanied by distinct underlying neural mechanisms. These findings suggest that the variable interaction of cognitive strategies with two important classes of computational learning signals (fictive, reward prediction error) represent one contributing substrate for the variable capacity of individuals to control their behavior based on foregone rewards. These findings also expose important possibilities for understanding the lack of control in addiction based on possibly foregone rewarding outcomes. (C) 2013 The Authors. Human Brain Mapping Published by Wiley Periodicals, Inc.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available