The role of sex and emotion on emotion perception in artificial faces: An ERP study.

Emotion recognition Event-related potentials (ERPs) FaceGen faces Facial expressions Late Positive Potential (LPP) Sex effect

Journal

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

Informations de publication

Date de publication:
06 2022
Historique:
received: 10 11 2021
revised: 08 02 2022
accepted: 10 03 2022
pubmed: 28 3 2022
medline: 20 4 2022
entrez: 27 3 2022
Statut: ppublish

Résumé

Sex has a significant impact on the perception of emotional expressions. However, it remains unclear whether sex influences the perception of emotions in artificial faces, which are becoming popular in emotion research. We used an emotion recognition task with FaceGen faces portraying six basic emotions aiming to investigate the effect of sex and emotion on behavioural and electrophysiological parameters. 71 participants performed the task while EEG was recorded. The recognition of sadness was the poorest, however, females recognized sadness better than males. ERP results indicated that fear, disgust, and anger evoked higher amplitudes of late positive potential over the left parietal region compared to neutral expression. Females demonstrated higher values of global field power as compared to males. The interaction between sex and emotion on ERPs was not significant. The results of our study may be valuable for future therapies and research, as it emphasizes possibly distinct processing of emotions and potential sex differences in the recognition of emotional expressions in FaceGen faces.

Identifiants

pubmed: 35339916
pii: S0278-2626(22)00018-5
doi: 10.1016/j.bandc.2022.105860
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105860

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Livija Sarauskyte (L)

Vilnius University, Life Sciences Center, Institute of Biosciences, Vilnius, Lithuania. Electronic address: livija.sarauskyte@gmail.com.

Rasa Monciunskaite (R)

Vilnius University, Life Sciences Center, Institute of Biosciences, Vilnius, Lithuania.

Ramune Griksiene (R)

Vilnius University, Life Sciences Center, Institute of Biosciences, Vilnius, Lithuania.

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Classifications MeSH