Paul, Katharina and Angus, Douglas J. and Bublatzky, Florian and Wullhorst, Raoul and Endrass, Tanja and Greenwood, Lisa-Marie and Hajcak, Greg and Jack, Bradley N. and Korinth, Sebastian P. and Kroczek, Leon O. H. and Lucero, Boris and Mundorf, Annakarina and Nolden, Sophie and Peterburs, Jutta and Pfabigan, Daniela M. and Schettino, Antonio and Severo, Mario Carlo and Shing, Yee Lee and Turan, Gozem and van der Molen, Melle J. W. and Wieser, Matthias J. and Willscheid, Niclas and Mushtaq, Faisal and Pavlov, Yuri G. and Pourtois, Gilles (2025) Revisiting the electrophysiological correlates of valence and expectancy in reward processing- A multi-lab replication. CORTEX, 184. pp. 150-171. ISSN 0010-9452, 1973-8102
Full text not available from this repository.Abstract
Two event-related brain potential (ERP) components, the frontocentral feedback-related negativity (FRN) and the posterior P300, are key in feedback processing. The FRN typically exhibits greater amplitude in response to negative and unexpected outcomes, whereas the P300 is generally more pronounced for positive outcomes. In an influential ERP study, Hajcak et al., (2005) manipulated outcome valence and expectancy in a guessing task. They found the FRN was larger for negative outcomes regardless of expectancy, and the P300 larger for unexpected outcomes regardless of valence. These findings challenged the dominant Reinforcement Learning Theory of the ERN. We aimed to replicate these results within the #EEGManyLabs project (Pavlov et al., 2021) across thirteen labs. Our replication, including robustness tests, a PCA and Bayesian models, found that both FRN and P300 were significantly modulated by outcome valence and expectancy: FRN amplitudes (no-reward- reward) were largest for unexpected outcomes, and P300 amplitudes were largest for reward outcomes. These results were consistent across different methods and analyses. Although our findings only partially replicate the original study, they underscore the complexity of feedback processing and demonstrate how aspects of Reinforcement Learning Theory may apply to the P300 component, reinforcing the need for rigorous ERP research methodologies. (c) 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | EVENT-RELATED POTENTIALS; MEDIAL FRONTAL-CORTEX; PREDICTION ERROR; FEEDBACK NEGATIVITY; RESPONSES; FRN; P3; MECHANISMS; COMPONENTS; RELEVANCE; Replication; EEGManyLabs; Reward; FRN; RewP; EEG; ERP |
| Subjects: | 100 Philosophy & psychology > 150 Psychology 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 31 Mar 2026 05:56 |
| Last Modified: | 31 Mar 2026 05:56 |
| URI: | https://pred.uni-regensburg.de/id/eprint/67894 |
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