阻塞性睡眠呼吸暂停患者面部表情分类任务的表现
Performance of facial expression classification tasks in patients with obstructive sleep apnea.
作者信息
Guo Junfeng, Ma Yingjuan, Liu Zhenhua, Wang Fumin, Hou Xunyao, Chen Jian, Hong Yan, Xu Song, Liu Xueping
机构信息
Department of Senile Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong, China.
Department of Rehabilitation, Weihai Municipal Hospital, Shandong University, Shandong, China.
出版信息
J Clin Sleep Med. 2020 Apr 15;16(4):523-530. doi: 10.5664/jcsm.8256.
STUDY OBJECTIVES
People show a facial recognition speed advantage, termed positive classification advantage (PCA), when judging whether a facial expression is happy compared to angry or sad. This study investigated emotional face recognition by patients with obstructive sleep apnea (OSA) with impaired neurocognition.
METHODS
Thirty-four patients with OSA and 26 healthy control patients who underwent 1 night of polysomnographic evaluation before recruitment were asked to complete an emotion recognition task. Accuracy rates and reaction times were recorded and analyzed using repeated-measures analysis of variance.
RESULTS
When participants were asked to classify positive (happy) versus negative (sad) emotional expressions, the phenomenon of PCA disappeared. Importantly, however, compared with the control patients who showed PCA, patients with OSA identified sad faces faster but were similar in processing happy faces.
CONCLUSIONS
In accordance with previous studies that showed depressive emotion in patients with OSA, our results indicate that patients with OSA show negative bias in facial expression recognition, which might lead to decline in ability of social communication.
研究目的
与判断愤怒或悲伤表情相比，人们在判断面部表情是否为高兴时表现出面部识别速度优势，称为正性分类优势（PCA）。本研究调查了神经认知受损的阻塞性睡眠呼吸暂停（OSA）患者的情绪面孔识别情况。
方法
34例OSA患者和26例健康对照患者在招募前接受了1晚的多导睡眠图评估，要求他们完成一项情绪识别任务。使用重复测量方差分析记录并分析准确率和反应时间。
结果
当要求参与者对正性（高兴）与负性（悲伤）情绪表情进行分类时，PCA现象消失。然而，重要的是，与表现出PCA的对照患者相比，OSA患者识别悲伤面孔更快，但在处理高兴面孔方面相似。
结论
与之前显示OSA患者存在抑郁情绪的研究一致，我们的结果表明，OSA患者在面部表情识别中表现出负性偏差，这可能导致社交沟通能力下降。
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