Literature DB >> 23658166

The feedback-related negativity signals salience prediction errors, not reward prediction errors.

Deborah Talmi1, Ryan Atkinson, Wael El-Deredy.   

Abstract

Modulations of the feedback-related negativity (FRN) event-related potential (ERP) have been suggested as a potential biomarker in psychopathology. A dominant theory about this signal contends that it reflects the operation of the neural system underlying reinforcement learning in humans. The theory suggests that this frontocentral negative deflection in the ERP 230-270 ms after the delivery of a probabilistic reward expresses a prediction error signal derived from midbrain dopaminergic projections to the anterior cingulate cortex. We tested this theory by investigating whether FRN will also be observed for an inherently aversive outcome: physical pain. In another session, the outcome was monetary reward instead of pain. As predicted, unexpected reward omissions (a negative reward prediction error) yielded a more negative deflection relative to unexpected reward delivery. Surprisingly, unexpected pain omission (a positive reward prediction error) also yielded a negative deflection relative to unexpected pain delivery. Our data challenge the theory by showing that the FRN expresses aversive prediction errors with the same sign as reward prediction errors. Both FRNs were spatiotemporally and functionally equivalent. We suggest that FRN expresses salience prediction errors rather than reward prediction errors.

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Year:  2013        PMID: 23658166      PMCID: PMC6619637          DOI: 10.1523/JNEUROSCI.5695-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  54 in total

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Authors:  Muhammad A Parvaz; Anna B Konova; Greg H Proudfit; Jonathan P Dunning; Pias Malaker; Scott J Moeller; Tom Maloney; Nelly Alia-Klein; Rita Z Goldstein
Journal:  J Neurosci       Date:  2015-02-04       Impact factor: 6.167

5.  Converging electrophysiological evidence for a processing advantage of social over nonsocial feedback.

Authors:  Daniela M Pfabigan; Shihui Han
Journal:  Cogn Affect Behav Neurosci       Date:  2019-10       Impact factor: 3.282

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Journal:  Cogn Affect Behav Neurosci       Date:  2017-04       Impact factor: 3.282

7.  Common mechanisms in error monitoring and action effect monitoring.

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Journal:  Cogn Affect Behav Neurosci       Date:  2018-12       Impact factor: 3.282

8.  Performance monitoring during a minimal group manipulation.

Authors:  Daniela M Pfabigan; Marie-Theres Holzner; Claus Lamm
Journal:  Soc Cogn Affect Neurosci       Date:  2016-05-20       Impact factor: 3.436

9.  Correlation of cue-locked FRN and feedback-locked FRN in the auditory monetary incentive delay task.

Authors:  Elena Krugliakova; Vasily Klucharev; Tommaso Fedele; Alexey Gorin; Aleksandra Kuznetsova; Anna Shestakova
Journal:  Exp Brain Res       Date:  2017-12-01       Impact factor: 1.972

10.  Response-based outcome predictions and confidence regulate feedback processing and learning.

Authors:  Romy Frömer; Matthew R Nassar; Rasmus Bruckner; Birgit Stürmer; Werner Sommer; Nick Yeung
Journal:  Elife       Date:  2021-04-30       Impact factor: 8.140

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