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Assessing the effectiveness of online emotion recognition training in healthy volunteers

Facial emotion recognition (ER) difficulties are associated with mental health and neurodevelopmental conditions, including autism and poorer social functioning. ER interventions may therefore have clinical potential. We investigated the efficacy of ER training (ERT). We conducted three online studi...

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Autores principales: Reed, Zoe E., Suddell, Steph, Eastwood, Andy, Thomas, Lilian, Dwyer, Imogen, Penton-Voak, Ian S., Jarrold, Christopher, Munafò, Marcus R., Attwood, Angela S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523077/
https://www.ncbi.nlm.nih.gov/pubmed/37771966
http://dx.doi.org/10.1098/rsos.230372
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author Reed, Zoe E.
Suddell, Steph
Eastwood, Andy
Thomas, Lilian
Dwyer, Imogen
Penton-Voak, Ian S.
Jarrold, Christopher
Munafò, Marcus R.
Attwood, Angela S.
author_facet Reed, Zoe E.
Suddell, Steph
Eastwood, Andy
Thomas, Lilian
Dwyer, Imogen
Penton-Voak, Ian S.
Jarrold, Christopher
Munafò, Marcus R.
Attwood, Angela S.
author_sort Reed, Zoe E.
collection PubMed
description Facial emotion recognition (ER) difficulties are associated with mental health and neurodevelopmental conditions, including autism and poorer social functioning. ER interventions may therefore have clinical potential. We investigated the efficacy of ER training (ERT). We conducted three online studies with healthy volunteers completing one ERT session. Studies 1 and 2 included active and control/sham training groups and tested the efficacy of (i) four-emotion ERT (angry, happy, sad and scared) (n = 101), and (ii) six-emotion ERT (adding disgusted and surprised) (n = 109). Study 3 tested generalizability of ERT to non-trained stimuli with groups trained and tested on the same stimuli, or different stimuli (n = 120). Training effects on total correct hits were estimated using linear mixed effects models. We did not observe clear evidence of improvement in study 1 but note the effect was in the direction of improvement (b = 0.02, 95% confidence interval (CI) = −0.02 to 0.07). Study 2 indicated greater total hits following training (b = 0.07, 95% CI = 0.03–0.12). Study 3 demonstrated similar improvement across groups (b = −0.01, 95% CI = −0.05 to 0.02). Our results indicate improved ER (as measured by our task), which generalizes to different facial stimulus sets. Future studies should further explore generalizability, longer-term effects and ERT in populations with known ER difficulties.
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spelling pubmed-105230772023-09-28 Assessing the effectiveness of online emotion recognition training in healthy volunteers Reed, Zoe E. Suddell, Steph Eastwood, Andy Thomas, Lilian Dwyer, Imogen Penton-Voak, Ian S. Jarrold, Christopher Munafò, Marcus R. Attwood, Angela S. R Soc Open Sci Psychology and Cognitive Neuroscience Facial emotion recognition (ER) difficulties are associated with mental health and neurodevelopmental conditions, including autism and poorer social functioning. ER interventions may therefore have clinical potential. We investigated the efficacy of ER training (ERT). We conducted three online studies with healthy volunteers completing one ERT session. Studies 1 and 2 included active and control/sham training groups and tested the efficacy of (i) four-emotion ERT (angry, happy, sad and scared) (n = 101), and (ii) six-emotion ERT (adding disgusted and surprised) (n = 109). Study 3 tested generalizability of ERT to non-trained stimuli with groups trained and tested on the same stimuli, or different stimuli (n = 120). Training effects on total correct hits were estimated using linear mixed effects models. We did not observe clear evidence of improvement in study 1 but note the effect was in the direction of improvement (b = 0.02, 95% confidence interval (CI) = −0.02 to 0.07). Study 2 indicated greater total hits following training (b = 0.07, 95% CI = 0.03–0.12). Study 3 demonstrated similar improvement across groups (b = −0.01, 95% CI = −0.05 to 0.02). Our results indicate improved ER (as measured by our task), which generalizes to different facial stimulus sets. Future studies should further explore generalizability, longer-term effects and ERT in populations with known ER difficulties. The Royal Society 2023-09-27 /pmc/articles/PMC10523077/ /pubmed/37771966 http://dx.doi.org/10.1098/rsos.230372 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Psychology and Cognitive Neuroscience
Reed, Zoe E.
Suddell, Steph
Eastwood, Andy
Thomas, Lilian
Dwyer, Imogen
Penton-Voak, Ian S.
Jarrold, Christopher
Munafò, Marcus R.
Attwood, Angela S.
Assessing the effectiveness of online emotion recognition training in healthy volunteers
title Assessing the effectiveness of online emotion recognition training in healthy volunteers
title_full Assessing the effectiveness of online emotion recognition training in healthy volunteers
title_fullStr Assessing the effectiveness of online emotion recognition training in healthy volunteers
title_full_unstemmed Assessing the effectiveness of online emotion recognition training in healthy volunteers
title_short Assessing the effectiveness of online emotion recognition training in healthy volunteers
title_sort assessing the effectiveness of online emotion recognition training in healthy volunteers
topic Psychology and Cognitive Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523077/
https://www.ncbi.nlm.nih.gov/pubmed/37771966
http://dx.doi.org/10.1098/rsos.230372
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