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The Neural Correlates of the Recognition of Emotional Intensity Deficits in Major Depression: An ERP Study

PURPOSE: Deficits in facial emotional intensity recognition have been associated with social cognition in patients with major depression. The study examined multiple event-related potential (ERP) components in patients with major depression and investigated the relationships between ERPs, social cog...

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Autores principales: Li, Miao, Zhang, Jiazhao, Jiang, Chenguang, Wang, Jun, Sun, Ruhong, Jin, Shayu, Zhang, Ning, Zhou, Zhenhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842523/
https://www.ncbi.nlm.nih.gov/pubmed/36660318
http://dx.doi.org/10.2147/NDT.S393264
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author Li, Miao
Zhang, Jiazhao
Jiang, Chenguang
Wang, Jun
Sun, Ruhong
Jin, Shayu
Zhang, Ning
Zhou, Zhenhe
author_facet Li, Miao
Zhang, Jiazhao
Jiang, Chenguang
Wang, Jun
Sun, Ruhong
Jin, Shayu
Zhang, Ning
Zhou, Zhenhe
author_sort Li, Miao
collection PubMed
description PURPOSE: Deficits in facial emotional intensity recognition have been associated with social cognition in patients with major depression. The study examined multiple event-related potential (ERP) components in patients with major depression and investigated the relationships between ERPs, social cognition, and clinical features. PARTICIPANTS AND METHODS: Thirty-one patients met DSM-IV diagnosis of depression and 31 healthy participants completed the emotion intensity recognition task (EIRT), while ERPs were recorded. Data on ERP components (P100, N170, P200, and P300) were analyzed. RESULTS: The behavioral results showed that patients with major depression performed worse on EIRT, including all six categories of emotions (sadness, disgust, happiness, surprise, anger, and fear), compared to healthy participants. The ERP results showed that patients with major depression exhibited higher P100 amplitudes for sad and happy faces than healthy participants; P300 amplitudes induced by sad and surprise faces were also higher than in healthy participants, mainly in the central and temporal lobes. A positive correlation was found between sadness intensity scores and P100 amplitudes in patients with major depression. CONCLUSION: Patients with major depression are biased in their identification of facial expressions indicating emotional intensity. Specifically, they have emotional biases in the early and late stages of cognitive processing, mainly in the form of sensitivity to sad stimuli. It may lead to a persistent rumination of sadness that is detrimental to the remission of depression. Additionally, patients with major depression devote different amounts of cognitive resources for different intensities of sad faces during the preconscious stage of cognitive processing. The more intense their perception of sadness, the more cognitive resources they devote. Therefore, the assessment of the intensity of facial expressions is an important research topic, with clinical implications on social cognitive function in patients with major depression.
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spelling pubmed-98425232023-01-18 The Neural Correlates of the Recognition of Emotional Intensity Deficits in Major Depression: An ERP Study Li, Miao Zhang, Jiazhao Jiang, Chenguang Wang, Jun Sun, Ruhong Jin, Shayu Zhang, Ning Zhou, Zhenhe Neuropsychiatr Dis Treat Original Research PURPOSE: Deficits in facial emotional intensity recognition have been associated with social cognition in patients with major depression. The study examined multiple event-related potential (ERP) components in patients with major depression and investigated the relationships between ERPs, social cognition, and clinical features. PARTICIPANTS AND METHODS: Thirty-one patients met DSM-IV diagnosis of depression and 31 healthy participants completed the emotion intensity recognition task (EIRT), while ERPs were recorded. Data on ERP components (P100, N170, P200, and P300) were analyzed. RESULTS: The behavioral results showed that patients with major depression performed worse on EIRT, including all six categories of emotions (sadness, disgust, happiness, surprise, anger, and fear), compared to healthy participants. The ERP results showed that patients with major depression exhibited higher P100 amplitudes for sad and happy faces than healthy participants; P300 amplitudes induced by sad and surprise faces were also higher than in healthy participants, mainly in the central and temporal lobes. A positive correlation was found between sadness intensity scores and P100 amplitudes in patients with major depression. CONCLUSION: Patients with major depression are biased in their identification of facial expressions indicating emotional intensity. Specifically, they have emotional biases in the early and late stages of cognitive processing, mainly in the form of sensitivity to sad stimuli. It may lead to a persistent rumination of sadness that is detrimental to the remission of depression. Additionally, patients with major depression devote different amounts of cognitive resources for different intensities of sad faces during the preconscious stage of cognitive processing. The more intense their perception of sadness, the more cognitive resources they devote. Therefore, the assessment of the intensity of facial expressions is an important research topic, with clinical implications on social cognitive function in patients with major depression. Dove 2023-01-12 /pmc/articles/PMC9842523/ /pubmed/36660318 http://dx.doi.org/10.2147/NDT.S393264 Text en © 2023 Li et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Li, Miao
Zhang, Jiazhao
Jiang, Chenguang
Wang, Jun
Sun, Ruhong
Jin, Shayu
Zhang, Ning
Zhou, Zhenhe
The Neural Correlates of the Recognition of Emotional Intensity Deficits in Major Depression: An ERP Study
title The Neural Correlates of the Recognition of Emotional Intensity Deficits in Major Depression: An ERP Study
title_full The Neural Correlates of the Recognition of Emotional Intensity Deficits in Major Depression: An ERP Study
title_fullStr The Neural Correlates of the Recognition of Emotional Intensity Deficits in Major Depression: An ERP Study
title_full_unstemmed The Neural Correlates of the Recognition of Emotional Intensity Deficits in Major Depression: An ERP Study
title_short The Neural Correlates of the Recognition of Emotional Intensity Deficits in Major Depression: An ERP Study
title_sort neural correlates of the recognition of emotional intensity deficits in major depression: an erp study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842523/
https://www.ncbi.nlm.nih.gov/pubmed/36660318
http://dx.doi.org/10.2147/NDT.S393264
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