Differences in Facial Expression Recognition Between Unipolar and Bipolar Depression

Overview

Journal Front Psychol

Date 2021 Aug 2

PMID 34335353

Citations 2

Authors

Ma Ruihua

Zhao Meng

Chen Nan

Liu Panqi

Guo Hua

Liu Sijia

Shi Jing

Zhao Ke

Tan Yunlong

Tan Shuping

Yang Fude

Tian Li

Wang Zhiren

Affiliations

Soon will be listed here.

Abstract

Purpose: To explore the differences in facial emotion recognition among patients with unipolar depression (UD), bipolar depression (BD), and normal controls.

Methods: Thirty patients with UD and 30 patients with BD, respectively, were recruited in Zhumadian Second People's Hospital from July 2018 to August 2019. Fifteen groups of facial expressions including happiness, sadness, anger, surprise, fear, and disgust were identified.

Results: A single-factor ANOVA was used to analyze the facial expression recognition results of the three groups, and the differences were found in the happy-sad ( = 0.009), happy-angry ( = 0.001), happy-surprised ( = 0.034), and disgust-surprised ( = 0.038) facial expression groups. The independent sample -test analysis showed that compared with the normal control group, there were differences in the happy-sad ( = 0.009) and happy-angry ( = 0.009) groups in patients with BD, and the accuracy of facial expression recognition was lower than the normal control group. Compared with patients with UD, there were differences between the happy-sad ( = 0.005) and happy-angry ( = 0.002) groups, and the identification accuracy of patients with UD was higher than that of patients with BD. The time of facial expression recognition in the normal control group was shorter than that in the patient group. Using happiness-sadness to distinguish unipolar and BDs, the area under the ROC curve (AUC) is 0.933, the specificity is 0.889, and the sensitivity is 0.667. Using happiness-anger to distinguish unipolar and BD, the AUC was 0.733, the specificity was 0.778, and the sensitivity was 0.600.

Conclusion: Patients with UD had lower performance in recognizing negative expressions and had longer recognition times. Those with BD had lower accuracy in recognizing positive expressions and longer recognition times. Rapid facial expression recognition performance may be as a potential endophenotype for early identification of unipolar and BD.

Citing Articles

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Working memory updating in individuals with bipolar and unipolar depression: fMRI study.

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