Literature DB >> 24564998

Joint effect of alexithymia and mood on the categorization of nonverbal emotional vocalizations.

Marie Bayot1, Gordy Pleyers2, Ilios Kotsou2, Nathalie Lefèvre3, Disa A Sauter4, Nicolas Vermeulen5.   

Abstract

The role of stable factors, such as alexithymia (i.e., difficulties identifying and expressing feelings, externally oriented cognitive style), or temporary factors, such as affective states (mood), on emotion perception has been widely investigated in the literature. However, little is known about the separate or joint effect of the alexithymia level and affective states (positive affectivity, negative affectivity) on the recognition of nonverbal emotional vocalizations (NEV) (e.g., laughs, cries, or sighs). In this study, participants had to categorize NEV communicating 10 emotions by selecting the correct verbal emotional label. Results show that the level of alexithymia is negatively correlated to the capacity to accurately categorize negative vocalizations, and more particularly sad NEV. On the other hand, negative affectivity appeared negatively correlated with the ability to accurately categorize NEV in general, and negative vocalizations in particular. After splitting the results by the alexithymia level (high vs. low scorers), significant associations between mood and accuracy rates were found in the group of high alexithymia scorers only. These findings support the idea that alexithymic features act across sensory modalities and suggest a mood-interference effect that would be stronger in those individuals.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Interference effect; Negative affectivity; Positive affectivity

Mesh:

Year:  2013        PMID: 24564998     DOI: 10.1016/j.psychres.2013.12.007

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  1 in total

1.  Alexithymia and automatic processing of facial emotions: behavioral and neural findings.

Authors:  Nicole Rosenberg; Klas Ihme; Vladimir Lichev; Julia Sacher; Michael Rufer; Hans Jörgen Grabe; Harald Kugel; André Pampel; Jöran Lepsien; Anette Kersting; Arno Villringer; Thomas Suslow
Journal:  BMC Neurosci       Date:  2020-05-29       Impact factor: 3.288

  1 in total

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