Yujia Huang, Yinan Li, Tong Su, Hao Wang, Shuyu Xu, Jingzhou Xu, Siqi Zheng, Jing Du, Yajing Wang, Ruike Zhang, Yao Meng, Xin Guo, Lei Xiao, Yunxiang Tang
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In Study 1, FER ability was compared between good and poor sleepers. In Study 2, all participants were sleep-deprived for one night, and completed the FER task before and after sleep deprivation. After different interventions (ie, napping for one hour, or walking around for ten minutes), the participants completed the third FER task.</p><p><strong>Results: </strong>Study 1: Poor sleepers were able to recognize sad expressions more accurately compared with good sleepers. Study 2: 30-h sleep deprivation had no significant effect on the accuracy (ACC). Napping after sleep deprivation improved the FER ACC of upper-face expressions and marginally significantly improved the FER ACC of disgusted expressions.</p><p><strong>Conclusion: </strong>Better sleep quality was linked to lower FER accuracy, particularly in recognizing sad expressions, while no significant differences in recognition speed were observed. 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引用次数: 0
摘要
目的:研究睡眠质量、睡眠不足和午睡对面部情绪识别(FER)准确性和速度的影响:研究睡眠质量、睡眠剥夺和午睡对面部情绪识别(FER)准确性和速度的影响:本研究包括横断面研究(102 名合格参与者)和随机对照研究(午睡组 26 人,对照组 24 人)。FER任务的刺激来自中国面部表情图片系统(CFAPS)。使用了四种面部表情(恐惧、厌恶、悲伤和愤怒)。匹兹堡睡眠质量指数(PSQI)、焦虑自评量表和抑郁自评量表用于测量受试者的睡眠质量和心理状况。研究 1 比较了睡眠质量好和睡眠质量差的人的 FER 能力。在研究2中,所有参与者均被剥夺睡眠一晚,并在剥夺睡眠前后完成FER任务。经过不同的干预(即小睡一小时或走动十分钟)后,参与者完成了第三项FER任务:研究 1:与睡眠质量好的人相比,睡眠质量差的人能够更准确地识别悲伤的表情。研究 2:30 小时睡眠不足对准确性(ACC)没有明显影响。睡眠不足后的小睡提高了上脸表情的FER ACC,并在一定程度上显著提高了厌恶表情的FER ACC:结论:较好的睡眠质量与较低的 FER 准确率有关,尤其是在识别悲伤表情方面,而在识别速度方面没有观察到明显差异。此外,30 小时的睡眠不足不会影响 FER 的准确性,但睡眠不足后小睡会提高识别上面部表情的准确性,并略微提高识别厌恶表情的准确性。
Effects of Sleep Quality, Acute Sleep Deprivation, and Napping on Facial Emotion Recognition Accuracy and Speed.
Objective: To investigate the effects of sleep quality, sleep deprivation, and napping on facial emotion recognition (FER) accuracy and speed.
Methods: This research included a cross-sectional study (102 qualified participants) and a randomized controlled study (26 in the napping group and 24 in the control group). The stimuli for the FER task were obtained from the Chinese Facial Affective Picture System (CFAPS). Four facial expressions (fearful, disgusted, sad, and angry) were used. The Pittsburgh Sleep Quality Index (PSQI), Self-Rating Anxiety Scale, and Self-Rating Depression Scale were used to measure participants' sleep quality and psychological conditions. In Study 1, FER ability was compared between good and poor sleepers. In Study 2, all participants were sleep-deprived for one night, and completed the FER task before and after sleep deprivation. After different interventions (ie, napping for one hour, or walking around for ten minutes), the participants completed the third FER task.
Results: Study 1: Poor sleepers were able to recognize sad expressions more accurately compared with good sleepers. Study 2: 30-h sleep deprivation had no significant effect on the accuracy (ACC). Napping after sleep deprivation improved the FER ACC of upper-face expressions and marginally significantly improved the FER ACC of disgusted expressions.
Conclusion: Better sleep quality was linked to lower FER accuracy, particularly in recognizing sad expressions, while no significant differences in recognition speed were observed. Additionally, 30 hours of sleep deprivation did not affect FER accuracy, but napping after sleep deprivation improved accuracy for upper-face and marginally for disgusted expressions.
期刊介绍:
Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep.
Specific topics covered in the journal include:
The functions of sleep in humans and other animals
Physiological and neurophysiological changes with sleep
The genetics of sleep and sleep differences
The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness
Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness
Sleep changes with development and with age
Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause)
The science and nature of dreams
Sleep disorders
Impact of sleep and sleep disorders on health, daytime function and quality of life
Sleep problems secondary to clinical disorders
Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health)
The microbiome and sleep
Chronotherapy
Impact of circadian rhythms on sleep, physiology, cognition and health
Mechanisms controlling circadian rhythms, centrally and peripherally
Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health
Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption
Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms
Epigenetic markers of sleep or circadian disruption.