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帕金森病中的面部情绪识别与表达:一种情绪镜像机制?

Facial Emotion Recognition and Expression in Parkinson's Disease: An Emotional Mirror Mechanism?

作者信息

Ricciardi Lucia, Visco-Comandini Federica, Erro Roberto, Morgante Francesca, Bologna Matteo, Fasano Alfonso, Ricciardi Diego, Edwards Mark J, Kilner James

机构信息

Neurosciences Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's University of London, London, United Kingdom.

Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, University College London, London, United Kingdom.

出版信息

PLoS One. 2017 Jan 9;12(1):e0169110. doi: 10.1371/journal.pone.0169110. eCollection 2017.

Abstract

BACKGROUND AND AIM

Parkinson's disease (PD) patients have impairment of facial expressivity (hypomimia) and difficulties in interpreting the emotional facial expressions produced by others, especially for aversive emotions. We aimed to evaluate the ability to produce facial emotional expressions and to recognize facial emotional expressions produced by others in a group of PD patients and a group of healthy participants in order to explore the relationship between these two abilities and any differences between the two groups of participants.

METHODS

Twenty non-demented, non-depressed PD patients and twenty healthy participants (HC) matched for demographic characteristics were studied. The ability of recognizing emotional facial expressions was assessed with the Ekman 60-faces test (Emotion recognition task). Participants were video-recorded while posing facial expressions of 6 primary emotions (happiness, sadness, surprise, disgust, fear and anger). The most expressive pictures for each emotion were derived from the videos. Ten healthy raters were asked to look at the pictures displayed on a computer-screen in pseudo-random fashion and to identify the emotional label in a six-forced-choice response format (Emotion expressivity task). Reaction time (RT) and accuracy of responses were recorded. At the end of each trial the participant was asked to rate his/her confidence in his/her perceived accuracy of response.

RESULTS

For emotion recognition, PD reported lower score than HC for Ekman total score (p<0.001), and for single emotions sub-scores happiness, fear, anger, sadness (p<0.01) and surprise (p = 0.02). In the facial emotion expressivity task, PD and HC significantly differed in the total score (p = 0.05) and in the sub-scores for happiness, sadness, anger (all p<0.001). RT and the level of confidence showed significant differences between PD and HC for the same emotions. There was a significant positive correlation between the emotion facial recognition and expressivity in both groups; the correlation was even stronger when ranking emotions from the best recognized to the worst (R = 0.75, p = 0.004).

CONCLUSIONS

PD patients showed difficulties in recognizing emotional facial expressions produced by others and in posing facial emotional expressions compared to healthy subjects. The linear correlation between recognition and expression in both experimental groups suggests that the two mechanisms share a common system, which could be deteriorated in patients with PD. These results open new clinical and rehabilitation perspectives.

摘要

背景与目的

帕金森病(PD)患者存在面部表情能力受损(表情减少),且难以解读他人的面部表情,尤其是厌恶情绪的表情。我们旨在评估一组PD患者和一组健康参与者产生面部表情及识别他人面部表情的能力,以探究这两种能力之间的关系以及两组参与者之间的差异。

方法

研究了20名无痴呆、无抑郁的PD患者以及20名在人口统计学特征上相匹配的健康参与者(HC)。使用艾克曼60张面孔测试(情绪识别任务)评估识别面部表情的能力。参与者在摆出6种基本情绪(快乐、悲伤、惊讶、厌恶、恐惧和愤怒)的面部表情时进行录像。每种情绪最具表现力的图片来自录像。10名健康评分者被要求以伪随机方式查看电脑屏幕上显示的图片,并以六选一的强制选择反应格式识别情绪标签(情绪表达任务)。记录反应时间(RT)和反应准确性。在每次试验结束时,要求参与者对其对自己反应准确性的感知进行评分。

结果

在情绪识别方面,PD患者在艾克曼总分上的得分低于HC(p<0.001),在单一情绪子得分方面,快乐、恐惧、愤怒、悲伤(p<0.01)和惊讶(p = 0.02)也是如此。在面部情绪表达任务中,PD患者和HC在总分(p = 0.05)以及快乐、悲伤、愤怒的子得分上(均p<0.001)存在显著差异。对于相同情绪,PD患者和HC在RT和自信水平上也存在显著差异。两组中情绪面部识别与表达之间均存在显著正相关;当按照识别程度从最佳到最差对情绪进行排序时,这种相关性更强(R = 0.75,p = 0.004)。

结论

与健康受试者相比,PD患者在识别他人面部表情和摆出面部表情方面存在困难。两个实验组中识别与表达之间的线性相关性表明这两种机制共享一个共同系统,而该系统在PD患者中可能已退化。这些结果为临床和康复带来了新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2ec/5221788/77958736ff35/pone.0169110.g001.jpg

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