Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Anxiety and Depression Research Center (ADRC), Department of Psychology, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.
Q J Exp Psychol (Hove). 2020 Jul;73(7):1066-1081. doi: 10.1177/1747021819890289. Epub 2019 Dec 3.
Evaluation of facial and vocal emotional cues is vital in social interactions but can be highly influenced by characteristics of the observer, such as sex, age, and symptoms of affective disorders. Our evaluations of others' emotional expressions are likely to change as we get to know them and anticipate how they are likely to behave. However, the role of associative learning in the evaluation of social cues remains poorly understood. In this study, we investigated whether emotional ratings (valence and arousal) and reward valuation ("liking" and "wanting" measures) of neutral facial expressions can be altered through associative learning. We also examined whether emotional ratings and reward valuation varied with symptoms of anxiety and depression, disorders known to impair socio-affective functioning. Participants ( = 324) were young adults, ranging in scores across dimensions of depression and anxiety symptoms: "general distress" (common to depression and anxiety), "anhedonia-apprehension" (more specific to depression), and "fears" (more specific to anxiety). They rated neutral faces and completed a probabilistic learning task that paired images of neutral faces with positive or negative social feedback. Results demonstrated that pairing neutral faces with positive social feedback increased ratings of arousal, valence, and reward valuation (both "liking" and "wanting"). Pairing neutral faces with negative feedback reduced valence ratings and reduced "wanting," but did not impact arousal ratings or "liking." Symptoms of general distress were associated with negative bias in valence ratings, symptoms of anhedonia-apprehension were associated with reduced "wanting," and symptoms of fears were associated with altered accuracy over trials. Notably, the association between general distress and negative bias was reduced following the associative learning task. This suggests that disrupted evaluation of social cues can be improved through brief training.
评估面部和声音情绪线索对于社交互动至关重要,但观察者的特征(如性别、年龄和情感障碍症状)会对其产生极大影响。随着我们对他人的了解和预测他们可能的行为,我们对他人情绪表达的评估可能会发生变化。然而,联想学习在评估社会线索中的作用仍知之甚少。在这项研究中,我们调查了中性面部表情的情绪评价(愉悦度和唤醒度)和奖励估值(“喜欢”和“想要”测量)是否可以通过联想学习来改变。我们还研究了情绪评价和奖励估值是否因焦虑和抑郁症状的不同而不同,这些障碍已知会损害社会情感功能。参与者(n=324)是年轻成年人,他们的抑郁和焦虑症状得分在不同维度上有所差异:“一般困扰”(常见于抑郁和焦虑)、“快感缺失-担忧”(更特定于抑郁)和“恐惧”(更特定于焦虑)。他们对中性面孔进行评分,并完成了一项概率学习任务,该任务将中性面孔的图像与积极或消极的社会反馈进行配对。结果表明,将中性面孔与积极的社会反馈配对会增加唤醒度、愉悦度和奖励估值(“喜欢”和“想要”)。将中性面孔与消极反馈配对会降低愉悦度评分并降低“想要”,但不会影响唤醒度评分或“喜欢”。一般困扰症状与愉悦度评分的负性偏倚有关,快感缺失-担忧症状与“想要”减少有关,恐惧症状与试验过程中的准确性改变有关。值得注意的是,联想学习任务后,一般困扰与负性偏倚之间的关联减弱。这表明,通过短暂的训练可以改善对社会线索的评估障碍。