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Recognition of Facial Emotion Expressions in Patients with Depressive Disorders: A Prospective, Observational Study

INTRODUCTION: Processing of emotional stimuli is altered in patients with depression. The present feasibility study investigated the features of emotional information recognition in people with depressive disorders and how these differ from individuals without depression to determine whether respons...

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Autores principales: Akhapkin, Roman Vitalievich, Volel, Beatrisa Albertovna, Shishorin, Rodion Mikhailovich, Ustyuzhanin, Dmitry Vladimirovich, Petelin, Dmitry Sergeevich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140166/
https://www.ncbi.nlm.nih.gov/pubmed/33558996
http://dx.doi.org/10.1007/s40120-021-00231-w
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author Akhapkin, Roman Vitalievich
Volel, Beatrisa Albertovna
Shishorin, Rodion Mikhailovich
Ustyuzhanin, Dmitry Vladimirovich
Petelin, Dmitry Sergeevich
author_facet Akhapkin, Roman Vitalievich
Volel, Beatrisa Albertovna
Shishorin, Rodion Mikhailovich
Ustyuzhanin, Dmitry Vladimirovich
Petelin, Dmitry Sergeevich
author_sort Akhapkin, Roman Vitalievich
collection PubMed
description INTRODUCTION: Processing of emotional stimuli is altered in patients with depression. The present feasibility study investigated the features of emotional information recognition in people with depressive disorders and how these differ from individuals without depression to determine whether response times could potentially be used as a diagnostic marker to identify individuals at high risk of depression and as an indicator of antidepressant medication response. METHODS: The study recruited 32 individuals, 16 with single or recurrent depressive episodes and 16 control subjects without depression. Patients with depression received 8 weeks of antidepressant therapy. The severity of depressive symptoms at baseline and their changes on prescribed therapy were assessed using the Montgomery-Åsberg Depression Rating Scale (MADRS). The processing of emotional information was assessed using the computerized Penn Emotion Recognition Task (ER-40). RESULTS: The two groups were well matched in terms of age and gender. There was no difference between the groups in their ability to correctly recognize happy or sad emotional facial expressions, but the average time patients with depression took to recognize a happy face was significantly longer than controls. In addition, they were more likely to misinterpret facial expressions as non-emotional. In patients with depression, the mean MADRS total score decreased from 26.3 ± 4.4 at baseline to 11.1 ± 8.9 at 8 weeks, a reduction of 57.8%. The proportion of responders with greater than 50% reduction in their baseline MADRS total score was 64.3%. Antidepressive treatment was associated with a reduction in the mean time required for recognition of a happy face (P < 0.05). CONCLUSIONS: Patients with depression are slower to identify positive emotions but have a similar time to recognition of negative emotions as patients without depression. The greater time required for recognition of happiness distinguished the patients with depression from control subjects, and was also the only parameter that showed an improvement with antidepressant therapy, suggesting a specific relationship of this parameter with the depressive state.
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spelling pubmed-81401662021-06-07 Recognition of Facial Emotion Expressions in Patients with Depressive Disorders: A Prospective, Observational Study Akhapkin, Roman Vitalievich Volel, Beatrisa Albertovna Shishorin, Rodion Mikhailovich Ustyuzhanin, Dmitry Vladimirovich Petelin, Dmitry Sergeevich Neurol Ther Original Research INTRODUCTION: Processing of emotional stimuli is altered in patients with depression. The present feasibility study investigated the features of emotional information recognition in people with depressive disorders and how these differ from individuals without depression to determine whether response times could potentially be used as a diagnostic marker to identify individuals at high risk of depression and as an indicator of antidepressant medication response. METHODS: The study recruited 32 individuals, 16 with single or recurrent depressive episodes and 16 control subjects without depression. Patients with depression received 8 weeks of antidepressant therapy. The severity of depressive symptoms at baseline and their changes on prescribed therapy were assessed using the Montgomery-Åsberg Depression Rating Scale (MADRS). The processing of emotional information was assessed using the computerized Penn Emotion Recognition Task (ER-40). RESULTS: The two groups were well matched in terms of age and gender. There was no difference between the groups in their ability to correctly recognize happy or sad emotional facial expressions, but the average time patients with depression took to recognize a happy face was significantly longer than controls. In addition, they were more likely to misinterpret facial expressions as non-emotional. In patients with depression, the mean MADRS total score decreased from 26.3 ± 4.4 at baseline to 11.1 ± 8.9 at 8 weeks, a reduction of 57.8%. The proportion of responders with greater than 50% reduction in their baseline MADRS total score was 64.3%. Antidepressive treatment was associated with a reduction in the mean time required for recognition of a happy face (P < 0.05). CONCLUSIONS: Patients with depression are slower to identify positive emotions but have a similar time to recognition of negative emotions as patients without depression. The greater time required for recognition of happiness distinguished the patients with depression from control subjects, and was also the only parameter that showed an improvement with antidepressant therapy, suggesting a specific relationship of this parameter with the depressive state. Springer Healthcare 2021-02-08 /pmc/articles/PMC8140166/ /pubmed/33558996 http://dx.doi.org/10.1007/s40120-021-00231-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Akhapkin, Roman Vitalievich
Volel, Beatrisa Albertovna
Shishorin, Rodion Mikhailovich
Ustyuzhanin, Dmitry Vladimirovich
Petelin, Dmitry Sergeevich
Recognition of Facial Emotion Expressions in Patients with Depressive Disorders: A Prospective, Observational Study
title Recognition of Facial Emotion Expressions in Patients with Depressive Disorders: A Prospective, Observational Study
title_full Recognition of Facial Emotion Expressions in Patients with Depressive Disorders: A Prospective, Observational Study
title_fullStr Recognition of Facial Emotion Expressions in Patients with Depressive Disorders: A Prospective, Observational Study
title_full_unstemmed Recognition of Facial Emotion Expressions in Patients with Depressive Disorders: A Prospective, Observational Study
title_short Recognition of Facial Emotion Expressions in Patients with Depressive Disorders: A Prospective, Observational Study
title_sort recognition of facial emotion expressions in patients with depressive disorders: a prospective, observational study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140166/
https://www.ncbi.nlm.nih.gov/pubmed/33558996
http://dx.doi.org/10.1007/s40120-021-00231-w
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