The interactive effects of reward expectation and emotional interference on cognitive conflict control: An ERP study.


Journal

Physiology & behavior
ISSN: 1873-507X
Titre abrégé: Physiol Behav
Pays: United States
ID NLM: 0151504

Informations de publication

Date de publication:
15 05 2021
Historique:
received: 09 10 2020
revised: 24 01 2021
accepted: 25 01 2021
pubmed: 27 2 2021
medline: 29 6 2021
entrez: 26 2 2021
Statut: ppublish

Résumé

The effects of reward expectation and task-irrelevant emotional content on performance and event-related potential (ERP) recordings in a cognitive conflict control task were investigated using the face-word Stroop paradigm. A precue indicating additional monetary rewards for fast and accurate responses during the upcoming trial (incentive condition; relative to a cue indicating no additional reward, i.e., nonincentive condition) was followed by the presentation of target Chinese words (male vs. female) superimposed on background emotional faces (happy vs. fearful). The face's gender was congruent or incongruent with the target Chinese words. ERP results revealed that incentive cues elicited larger P1, P3, and CNV responses compared to nonincentive cues. There was a significant three-way interaction of reward expectation, emotional content, and congruency during the target processing stage such that emotionality and congruency interacted to affect the N170 and N2 component responses during the nonincentive condition but not during the incentive condition. These results indicate that reward-induced motivation reduces the interference effect of task-irrelevant emotional information, leading to better conflict resolution.

Identifiants

pubmed: 33636632
pii: S0031-9384(21)00061-5
doi: 10.1016/j.physbeh.2021.113369
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

113369

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Auteurs

Yujie Jia (Y)

Beijing Key Laboratory of Learning and Cognition and School of Psychology, Capital Normal University, Beijing 100048, China.

Lidan Cui (L)

Beijing Key Laboratory of Learning and Cognition and School of Psychology, Capital Normal University, Beijing 100048, China; College of Computer Science, Zhejiang University, Hangzhou 310027, China.

Stefan Pollmann (S)

Beijing Key Laboratory of Learning and Cognition and School of Psychology, Capital Normal University, Beijing 100048, China; Department of Experimental Psychology and Center for Behavioral Brain Sciences, Otto-von-Guericke-University, Magdeburg, Germany.

Ping Wei (P)

Beijing Key Laboratory of Learning and Cognition and School of Psychology, Capital Normal University, Beijing 100048, China. Electronic address: aweiping@gmail.com.

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Classifications MeSH