Ecological micro-expression recognition characteristics of young adults with subthreshold depression.

The micro-expression (ME) processing characteristics of patients with depression has been studied but has not been investigated in people with subthreshold depression. Based on this, by adopting the ecological MEs recognition paradigm, this study aimed to explore ME recognition in people with subthr...

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Main Authors: Chuanlin Zhu, Ming Yin, Xinyun Chen, Jianxin Zhang, Dianzhi Liu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0216334
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author Chuanlin Zhu
Ming Yin
Xinyun Chen
Jianxin Zhang
Dianzhi Liu
author_facet Chuanlin Zhu
Ming Yin
Xinyun Chen
Jianxin Zhang
Dianzhi Liu
author_sort Chuanlin Zhu
collection DOAJ
description The micro-expression (ME) processing characteristics of patients with depression has been studied but has not been investigated in people with subthreshold depression. Based on this, by adopting the ecological MEs recognition paradigm, this study aimed to explore ME recognition in people with subthreshold depression. A 4 (background expression: happy, neutral, sad and fearful) × 4 (ME: happy, neutral, sad, and fearful) study was designed; two groups of participants (experimental group with subthreshold depression vs. healthy control group, 32 participants in each group) were asked to complete the ecological ME recognition task, and the corresponding accuracy (ACC) and reaction time (RT) were analyzed. Results: (1) Under different background conditions, recognizing happy MEs had the highest ACC and shortest RT. (2) There was no significant difference in the ACC and RT between experimental and control groups. (3)In different contexts, individuals with subthreshold depression tended to misjudge neutral, sad, and fearful MEs as happy, while neutral MEs were misjudged as sad and fearful. (4) The performance of individuals with subthreshold depression in the ecological ME recognition task were influenced by the type of ME; they showed highest ACC and shortest RT when recognizing happy MEs (vs. the other MEs). Conclusions: (1) The performance of individuals' ecological ME recognition were influenced by the background expression, and this embodied the need for ecological ME recognition. (2) Individuals with subthreshold depression showed normal ecological ME recognition ability. (3) In terms of misjudgment, individuals with subthreshold depression showed both positive and negative bias, when completing the ecological ME recognition task. (4) Compared with the other MEs, happy MEs showed an advantage recognition effect for individuals with subthreshold depression who completed the ecological ME recognition task.
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spelling doaj.art-e5424507b7db49a78c8b215f83575c792022-12-21T22:36:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01145e021633410.1371/journal.pone.0216334Ecological micro-expression recognition characteristics of young adults with subthreshold depression.Chuanlin ZhuMing YinXinyun ChenJianxin ZhangDianzhi LiuThe micro-expression (ME) processing characteristics of patients with depression has been studied but has not been investigated in people with subthreshold depression. Based on this, by adopting the ecological MEs recognition paradigm, this study aimed to explore ME recognition in people with subthreshold depression. A 4 (background expression: happy, neutral, sad and fearful) × 4 (ME: happy, neutral, sad, and fearful) study was designed; two groups of participants (experimental group with subthreshold depression vs. healthy control group, 32 participants in each group) were asked to complete the ecological ME recognition task, and the corresponding accuracy (ACC) and reaction time (RT) were analyzed. Results: (1) Under different background conditions, recognizing happy MEs had the highest ACC and shortest RT. (2) There was no significant difference in the ACC and RT between experimental and control groups. (3)In different contexts, individuals with subthreshold depression tended to misjudge neutral, sad, and fearful MEs as happy, while neutral MEs were misjudged as sad and fearful. (4) The performance of individuals with subthreshold depression in the ecological ME recognition task were influenced by the type of ME; they showed highest ACC and shortest RT when recognizing happy MEs (vs. the other MEs). Conclusions: (1) The performance of individuals' ecological ME recognition were influenced by the background expression, and this embodied the need for ecological ME recognition. (2) Individuals with subthreshold depression showed normal ecological ME recognition ability. (3) In terms of misjudgment, individuals with subthreshold depression showed both positive and negative bias, when completing the ecological ME recognition task. (4) Compared with the other MEs, happy MEs showed an advantage recognition effect for individuals with subthreshold depression who completed the ecological ME recognition task.https://doi.org/10.1371/journal.pone.0216334
spellingShingle Chuanlin Zhu
Ming Yin
Xinyun Chen
Jianxin Zhang
Dianzhi Liu
Ecological micro-expression recognition characteristics of young adults with subthreshold depression.
PLoS ONE
title Ecological micro-expression recognition characteristics of young adults with subthreshold depression.
title_full Ecological micro-expression recognition characteristics of young adults with subthreshold depression.
title_fullStr Ecological micro-expression recognition characteristics of young adults with subthreshold depression.
title_full_unstemmed Ecological micro-expression recognition characteristics of young adults with subthreshold depression.
title_short Ecological micro-expression recognition characteristics of young adults with subthreshold depression.
title_sort ecological micro expression recognition characteristics of young adults with subthreshold depression
url https://doi.org/10.1371/journal.pone.0216334
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