Asymmetric Modulation of Frn by the Probability and Value of Outcomes in Auditory Mid Task

Elena Krugliakova (), Alexey Gorin (), Anna Shestakova (), Tommaso Fedele (), Aleksandra Kuznetsova () and Vasily Klucharev ()
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Elena Krugliakova: National Research University Higher School of Economics
Alexey Gorin: National Research University Higher School of Economics
Anna Shestakova: National Research University Higher School of Economics
Tommaso Fedele: National Research University Higher School of Economics
Aleksandra Kuznetsova: National Research University Higher School of Economics
Vasily Klucharev: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: Reward prediction error (RPE) reflects the discrepancy between received and predicted outcomes and therefore plays an important role in learning in a dynamic environment. Using electroencephalographic measures of response to obtained and expected outcomes, previous studies have suggested that feedback-related negativity (FRN) could code RPE. It has further been hypothesized that FRN should be sensitive to both the likelihood and magnitude of behavioral outcomes. Previous studies consistently demonstrated that FRN is sensitive to the probability of outcomes, while the evidence of its sensitivity to the magnitude of outcomes is less consistent. In neuroimaging studies, a monetary incentive delay (MID) task is often used to evaluate the dependence of feedback processing on the RPE’s sign and size. In this article, for the first time, we studied FRN’s sensitivity to the valence, likelihood, and magnitude of outcomes during a novel auditory version of an MID task. FRN demonstrated sensitivity to both the valence of an outcome (gain vs. omission of a gain) and its probability (high vs. low). However, we did not observe a modulation of FRN amplitude by the magnitude of the outcomes. We also found that subjects’ behavior was more susceptible to changes in the probability than to the magnitude of the outcomes. Overall, FRN seems to be a promising tool to study the learning mechanisms of decision making

Keywords: feedback-related negativity; monetary incentive delay task; expected value; electroencephalography (search for similar items in EconPapers)
JEL-codes: Z (search for similar items in EconPapers)
Pages: 18 pages
Date: 2016
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Published in WP BRP Series: Science, Psychology / PSY, December 2016, pages 1-18

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