ArticlePloS one2019
Ecological micro-expression recognition characteristics of young adults with subthreshold depression.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- ASYM: multimodal depression recognition via mamba-enhanced attentive feature fusion.Frontiers in psychiatry · 2026Article
- Low mood, not anxiety, connected with micro facial expression recognition.Scientific reports · 2025Article
- An open label pilot study of micro expression recognition training as an intervention for low mood.Scientific reports · 2025Article
- The establishment of dynamic microexpression training tool.Frontiers in psychology · 2025Article
- Relationship between low mood and micro-expression processing: evidence of negative bias in interpreting fleeting facial expressions.Royal Society open science · 2024Article
- Evaluation of comorbid psychological disorders in functional gastrointestinal disorders patients by vibraimage technology: protocol of a prospective, single-center trial.Frontiers in medicine · 2024Article
- Oxytocin Impairs the Recognition of Micro-Expressions of Surprise and Disgust.Frontiers in psychology · 2022Article
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Authors and funding
5 authors.
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Abstract
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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