期刊
NEUROIMAGE
卷 51, 期 3, 页码 1194-1204出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2010.03.031
关键词
fERN; Pe; P200; Reward prediction error; Reinforcement learning; ERP; Neuroeconomics; Expected value
资金
- CONICET
- Diego Portales University [CG090325006]
Feedback error-related negativity (fERN) has been referred to as a negative deflection in the event related potential (ERP), which distinguishes between wins and losses in terms of expected and unexpected outcomes. Some studies refer to the expected outcome as the probability to win vs. to lose, and others as expected size of rewards. We still do not know much about whether these alternative interpretations of expected outcome affect the fERN in a different manner, nor do we know the effect of their interaction in an expected value fashion. We set a gambling task with four game categories; two had the same expected value, while the other two categories were equivalent to the first ones, but alternatively in the size or probability of the offered rewards. Results show that fERN preceded by a P200, and followed by a Pe-like wave differentiates between losing in the category with a higher expected value and the rest of the experimental conditions. fERN differentiates between wins and losses, but changes in the size and probability of rewards impact the fERN amplitude only in win conditions. Results also show greater positivity following win feedback when the size and/or probability of the outcome rewards were higher, so that the higher the expected value the greater the positivity following win feedback. Our findings support the notion that both the probability and size of the offered rewards modulate the motivational value for the win feedback, this being also true for their interaction in an expected value fashion. (C) 2010 Elsevier Inc. All rights reserved.
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