ArticleNeuropsychiatric disease and treatment2023
The Neural Correlates of the Recognition of Emotional Intensity Deficits in Major Depression: An ERP Study.
Article in Neuropsychiatric disease and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 16 citations in OpenAlex.
- Emotional Responses (Intensity/Valence) Fulfill RDoC Criteria but Remain Excluded From Diagnostic Classifications of Mood Disorders.Bipolar disorders · 2026Review
- Development and Validation of a Multimodal Emotion Recognition Ability Test Based on the Chinese Cultural Context.Journal of Intelligence · 2026Article
- The Socio-emotional preference task in major depressive disorder: ERP evidence of social appraisal dysfunction.BMC psychiatry · 2025Article
- Differences in resting state and task-based EEG measures between patients with major depressive disorder and healthy controls.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025Article
- Knowledge of COVID-19 and the psychological status of parents: a retrospective survey in Wuhan, Hubei.BMJ open · 2025Article
- Association of vitamin D with depression prevalence in U.S. adults: a cross-sectional analysis from NHANES 2021 to 2023.Frontiers in nutrition · 2025Article
- The Deteriorated Center-Surround Suppression in Patients With First-Episode and Drug-Naïve Major Depressive Disorder.Depression and anxiety · 2025Article
- Relevance of pre-stimulus oscillatory activity for the perceived valence of emotional facial expressions.Scientific reports · 2024Article
- Effects of peer victimization on cortical processing of social-evaluative stress in patients with major depressive disorder.Social cognitive and affective neuroscience · 2024Article
- Disrupted properties of functional brain networks in major depressive disorder during emotional face recognition: an EEG study via graph theory analysis.Frontiers in human neuroscience · 2024Article
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8 authors at 4 institutions in 1 country.
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Abstract
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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