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Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account

BACKGROUND: Alexithymic and psychopathic traits are closely associated, but distinct constructs. Both have been associated with facial emotion processing deficits reflecting empathy deficits, however the underlying mechanism contributing to these deficits is not well-understood. METHODS: This study...

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Autores principales: Kyranides, Melina Nicole, Christofides, Demetris, Çetin, Melis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615175/
https://www.ncbi.nlm.nih.gov/pubmed/36303236
http://dx.doi.org/10.1186/s40359-022-00946-x
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author Kyranides, Melina Nicole
Christofides, Demetris
Çetin, Melis
author_facet Kyranides, Melina Nicole
Christofides, Demetris
Çetin, Melis
author_sort Kyranides, Melina Nicole
collection PubMed
description BACKGROUND: Alexithymic and psychopathic traits are closely associated, but distinct constructs. Both have been associated with facial emotion processing deficits reflecting empathy deficits, however the underlying mechanism contributing to these deficits is not well-understood. METHODS: This study investigated facial emotion recognition performance in a non-clinical sample (N = 110) including both male and female participants, with varying levels of psychopathic and alexithymic traits. Facial emotion recognition was assessed using a computerized task, that presented different expressions depicting five emotional states (pain, fear, sadness, anger, happiness) and neutral expressions. RESULTS: Results suggest that the high psychopathic traits group reported lower accuracy compared to the low psychopathic traits group, indicating a more generalized deficit in facial affect recognition, across all emotions. The alexithymic groups (high vs. low) on the other hand did not differ in their performance on the task for any of the emotions presented. CONCLUSION: These findings add to the current body of research regarding face processing categorization deficits in relation to psychopathic and alexithymic traits and can inform prevention and intervention efforts that aim to facilitate facial emotion recognition in individuals with these personality traits.
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spelling pubmed-96151752022-10-29 Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account Kyranides, Melina Nicole Christofides, Demetris Çetin, Melis BMC Psychol Research BACKGROUND: Alexithymic and psychopathic traits are closely associated, but distinct constructs. Both have been associated with facial emotion processing deficits reflecting empathy deficits, however the underlying mechanism contributing to these deficits is not well-understood. METHODS: This study investigated facial emotion recognition performance in a non-clinical sample (N = 110) including both male and female participants, with varying levels of psychopathic and alexithymic traits. Facial emotion recognition was assessed using a computerized task, that presented different expressions depicting five emotional states (pain, fear, sadness, anger, happiness) and neutral expressions. RESULTS: Results suggest that the high psychopathic traits group reported lower accuracy compared to the low psychopathic traits group, indicating a more generalized deficit in facial affect recognition, across all emotions. The alexithymic groups (high vs. low) on the other hand did not differ in their performance on the task for any of the emotions presented. CONCLUSION: These findings add to the current body of research regarding face processing categorization deficits in relation to psychopathic and alexithymic traits and can inform prevention and intervention efforts that aim to facilitate facial emotion recognition in individuals with these personality traits. BioMed Central 2022-10-27 /pmc/articles/PMC9615175/ /pubmed/36303236 http://dx.doi.org/10.1186/s40359-022-00946-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kyranides, Melina Nicole
Christofides, Demetris
Çetin, Melis
Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account
title Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account
title_full Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account
title_fullStr Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account
title_full_unstemmed Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account
title_short Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account
title_sort difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615175/
https://www.ncbi.nlm.nih.gov/pubmed/36303236
http://dx.doi.org/10.1186/s40359-022-00946-x
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