The effect of feedback novelty on neural correlates of feedback processing.

Decision making FRN Feedback Novelty P3 novelty-P3

Journal

Brain and cognition
ISSN: 1090-2147
Titre abrégé: Brain Cogn
Pays: United States
ID NLM: 8218014

Informations de publication

Date de publication:
07 Aug 2020
Historique:
received: 03 02 2020
revised: 02 07 2020
accepted: 24 07 2020
pubmed: 11 8 2020
medline: 11 8 2020
entrez: 11 8 2020
Statut: aheadofprint

Résumé

It has been suggested that stimulus novelty itself can be rewarding and recent evidence suggests that novelty processing and reward processing share common neural mechanisms. For feedback processing, this can be beneficial as well as detrimental: If novelty lends a rewarding characteristic to a stimulus, then this should particularly decrease the impact of negative feedback. The present study investigated whether such an effect of feedback novelty on feedback processing is reflected in electrophysiological markers of reinforcement learning (feedback-related negativity, FRN) and feedback processing (feedback-P300) in a simple decision-making task. In this task, participants had to chose between two stimuli in a learning trial followed by a novel or a familiar feedback stimulus. Learning from feedback allowed them to optimize their payoff in a later test trial. As expected, we found that the FRN effect, i.e. the difference between the FRN amplitudes after negative and positive feedback, was reduced for novel compared to familiar feedback stimuli. In addition, the amplitude of the feedback-P300 was decreased by feedback novelty, both for the anterior P3a and the posterior P3b. Together, these results indicate that feedback novelty can affect feedback processing as reflected by feedback-related brain activity.

Identifiants

pubmed: 32777688
pii: S0278-2626(20)30213-X
doi: 10.1016/j.bandc.2020.105610
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105610

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Benjamin Ernst (B)

Catholic University of Eichstätt-Ingolstadt, Germany. Electronic address: Benjamin.Ernst@ku.de.

Marco Steinhauser (M)

Catholic University of Eichstätt-Ingolstadt, Germany.

Classifications MeSH