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重度抑郁症患者对情绪面孔进行分类的积极分类优势

Positive Classification Advantage of Categorizing Emotional Faces in Patients With Major Depressive Disorder.

作者信息

Zhao Lun, Wang Xiaoyu, Sun Gang

机构信息

School of Education Science, Liaocheng University, Liaocheng, China.

The Department of Medical Imaging, The 960th Hospital of Joint Logistics Support Force of PLA, Jinan, China.

出版信息

Front Psychol. 2022 Jul 1;13:734405. doi: 10.3389/fpsyg.2022.734405. eCollection 2022.

Abstract

This study investigated whether patients with MDD (major depressive disorder) have deficits in emotional face classification as well as the perceptual mechanism. We found that, compared with the control group, MDD patients exhibited slower speed and lower accuracy in emotional face classification. In normal controls, happy faces were classified faster than sad faces, i.e., positive classification advantage (PCA), which disappeared under the inverted condition. MDD patients showed PCA similar to the control group, although the inversion effects of happy and sad faces were more evident. These data suggest that the dysfunction of categorizing emotional faces in MDD patients could be due to general impairment in decoding facial expressions, reflecting the more common perceptual motion defects in face expression classification.

摘要

本研究调查了重度抑郁症(MDD)患者在情绪面孔分类以及感知机制方面是否存在缺陷。我们发现,与对照组相比,MDD患者在情绪面孔分类中表现出速度较慢和准确性较低的情况。在正常对照组中,快乐面孔的分类速度比悲伤面孔快,即存在正性分类优势(PCA),而在面孔倒置条件下这种优势消失。MDD患者表现出与对照组相似的PCA,尽管快乐和悲伤面孔的倒置效应更为明显。这些数据表明,MDD患者在情绪面孔分类方面的功能障碍可能是由于解码面部表情的一般损伤所致,这反映了面部表情分类中更常见的感知运动缺陷。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e48/9284029/5a7a2a2458d9/fpsyg-13-734405-g0001.jpg

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