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

Miao Li; Jiazhao Zhang; Chenguang Jiang; Jun Wang; Ruhong Sun; Shayu Jin; Ning Zhang; Zhenhe Zhou

doi:10.2147/NDT.S393264

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

Neuropsychiatr Dis Treat. 2023 Jan 12:19:117-131. doi: 10.2147/NDT.S393264. eCollection 2023.

Authors

Miao Li^{1

2}, Jiazhao Zhang³, Chenguang Jiang^{2

4}, Jun Wang², Ruhong Sun⁵, Shayu Jin⁵, Ning Zhang^#¹, Zhenhe Zhou^#²

Affiliations

¹ Department of Psychology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, People's Republic of China.
² Department of Psychiatry, The Affiliated Wuxi Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, People's Republic of China.
³ Grade 2019 Class 6, Basic Medicine College of Jinzhou Medical University, Jinzhou, People's Republic of China.
⁴ Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.
⁵ Department of Psychiatry, Nanjing Medical University Graduate School, Nanjing, People's Republic of China.

^# Contributed equally.

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.

Keywords: emotional intensity recognition; emotional tasks; event-related potentials; major depression; social cognition.

Grants and funding

This study is supported by the Wuxi Medical and Public Health Technology Innovation Application Project (N20192034).