基本情绪的电生理活动：来自ERP的证据

基本情绪理论认为人类的情绪是由有限的几种基本的情绪组成,如快乐、愤怒、恐惧、悲伤等。使用脑功能成像技术来探讨基本情绪的独特神经结构所得出的结果很复杂,不能支持基本情绪理论;原因之一可能是情绪具有短暂性和易变性的特点,而EEG因高时间分辨率或许有助于解决该问题。本文探讨了基本情绪及其诱发方法、EEG的应用价值,对基本情绪相关的几种ERP成分及其特征进行归纳,提出用EEG结合人工智能来为基本情绪理论研究提供新思路。     

不同情绪模式的图片刺激启动效应

探讨了不同情绪模式的图片启动效应。选取大学生被试240名,将其分成4组,一个实验组和一个控制组,实验组组分别施加愉快、悲伤和恐惧情绪刺激,控制组施加中性刺激,然后检测4个组的情绪变化情况。结果发现,通过图片产生的情绪启动效应是明显的,实验组的情绪强度都超过控制组,尤其是愉快情绪和悲伤情绪,与控制组差异显著。研究还发现了情绪启动效果随时间而发生变化的趋势,消极情绪（悲伤情绪和恐惧情绪）随着时间的推移,强度锐减,在3分钟内基本恢复正常;但是,在短时间内（5分钟）,积极情绪（愉快情绪）随着时间的推移而产生了增长的趋势,这种趋势可能是由于人的心理促进作用造成的     

情绪测量方法的新进展

当代情绪理论认为情绪反应包括生理唤醒、行为反应、面部行为或姿势、以及主观体验等成分。随着时代进步和科技发展,对其的测量也日趋细化,主要包括自我报告法、自主神经系统测量、惊跳反应测量、脑测量及行为测量等方法。大量情绪研究的证据表明,情绪反应的测量多是通过情绪维度（如效价、唤醒度）和基本情绪状态（如,悲伤、恐惧、愤怒）两种方式组织起来的,不同的情绪测量方法对不同的组织方式敏感。未来的情绪测量的标准是多元的,其测量方法的确立是以特定的情绪问题为基础的。     

微博客基本社会情绪的测量及效度检验

微博客积累的海量信息为直接快速地测量社会情绪提供了可能。本研究构建了微博基本情绪词库,结合在线文本词汇匹配技术对数百万用户的情绪进行分析,得到了快乐、悲伤、愤怒、恐惧和厌恶五种基本社会情绪。发现快乐与其它四种情绪显著负相关,而四种情绪之间正相关,符合情绪维度理论;工作日的快乐情绪显著低于周末;重要节日和事件引起了社会情绪的相应波动。这些结果都表明基于微博的社会情绪测量是有效的。     

不同回避动机强度的消极情绪对类比推理的影响:来自ERP的证据

研究采用类比推理的四项比例式任务和事件相关电位技术,探究不同回避动机强度的消极情绪(恐惧—高动机强度、悲伤—低动机强度、中性情绪)对类比推理的影响及脑机制。结果发现:(1)行为:不同回避动机强度的消极情绪均会延长类比推理的反应时; 与中性情绪相比,悲伤会提高推理的正确率,而恐惧会降低推理的正确率。(2)脑电:图式提取阶段,N400、P300、LNC被诱发; 类比映射阶段,N400和LNC被诱发,情绪在N400和LNC上的主效应均显著,恐惧情绪下的N400和LNC幅值比悲伤情绪和中性情绪下的更大。研究表明,情绪对类比推理的作用发生在类比映射阶段。恐惧情绪窄化认知,悲伤情绪扩展认知,支持情绪动机维度模型。     

社会认知神经科学研究的最新进展

社会认知神经科学是一门采用认知神经科学技术研究社会认知现象的交叉学科,目前已经形成认知神经科学与心理生理学的热点研究领域。该文回顾了近年来有关情绪、情绪障碍、自我意识、经济决策、道德等方面的脑机制研究,临床研究和脑成像研究表明,恐惧、厌恶、愤怒、惊讶、快乐、悲伤等基本情绪在表达和识别上具有普遍性与特殊性;孤独症与“男性脑”的特征相关,抗抑郁药百忧解对抑郁症儿童的治疗作用;在自我意识的研究领域,自我概念产生的脑区定位、灵长类的自我意象、精神疾病患者的自我概念变化等研究的热点问题;经济决策的研究最近成为亮点之一,主要包括强互惠合作、风险决策、跨期选择以及品牌决策等方面;在道德的脑机制研究中,重点涉及了道德判断与捐赠行为的神经基础。文章最后展望了社会认知神经科学在我国发展的前景     

自豪感的神经基础：比较的视角

自豪感是对自身成就进行评估时产生的积极情绪体验。神经基础研究表明, 心理理论、自我参照、情绪、奖赏和记忆等相关脑区的协同作用构成了自豪感的神经基础, 而神经和生理的比较研究则揭示了自豪感和其他基本情绪以及道德情绪等在神经基础上的异同。以上结果为理解自豪感的复杂神经机制提供了依据。未来研究应对不同种类自豪感以及自豪感与认知过程相互作用的神经机制进行深入探讨。     

厌恶情绪与自杀行为的关系

自杀导致人类死亡的人数与日俱增,然而自杀的心理机制却并不清楚。最近研究发现,厌恶情绪是导致自杀的主要情绪因素,个体因为自身厌恶而走向自杀。厌恶情绪是一种对自己和他人排泄物等反感的基本情绪,促进个体远离毒性和疾病,从而产生“免疫行为”。许多心理问题来自于对周围人或事物的厌恶,有自杀行为的个体对自身极其厌恶,说明他们的厌恶情绪出现了问题。如同躯体免疫攻击自身一样,自身厌恶是自杀意念的关键因素,早年创伤是其根源,生活压力和精神疾病也参与厌恶诱发自杀意念。厌恶诱发自杀意念的神经基础与HPA轴和五羟色胺系统有关。未来研究可利用神经影像和电生理等神经科学技术,检验自杀行为的神经机制,探讨厌恶情绪影响自杀行为的心理和神经机制。     

死亡意识的恐惧管理和悲伤管理

基于悲伤情绪的功能及效应,提出死亡意识的“悲伤管理假设”。实验1采用电生理、微表情、主观报告等方法探索死亡意识伴随的情绪变化;实验2和实验3对比死亡意识的“悲伤管理”和“恐惧管理”,并探索情绪的中介作用。结果发现：死亡意识诱发悲伤和恐惧(尤其是悲伤),且死亡反思诱发更多的悲伤;恐惧在死亡意识与外在人生目标间起中介作用;悲伤(而非恐惧)背景音乐下,死亡意识使个体更重视内在人生目标。上述结果为死亡意识的“悲伤管理”提供了实证依据,表明在悲伤的情绪中加工死亡意识可能促进个体的内在成长,这对疫情等社会灾难时期的心理救援具有启示意义。     

卵巢激素影响女性恐惧情绪加工的神经机制

大脑结构和功能的性别差异导致恐惧情绪加工的两性差别。女性对恐惧情绪加工受到体内雌激素和孕激素浓度的影响。近年来, 人类脑成像技术、遗传学和分子生物学的综合研究发现了卵巢激素影响女性恐惧情绪加工的神经机制。其中, 雌激素水平升高导致杏仁核活动增强, 使女性对恐惧面孔识别的准确性增加, 而孕激素水平则相反。这与女性在月经周期不同阶段对社会交往的需求和妊娠期间的自我保护机制有关。     

The neural underpinnings of facial emotion recognition in ischemic stroke patients

Deficits in facial emotion recognition occur frequently after stroke, with adverse social and behavioural consequences. The aim of this study was to investigate the neural underpinnings of the recognition of emotional expressions, in particular of the distinct basic emotions (anger, disgust, fear, happiness, sadness and surprise). A group of 110 ischaemic stroke patients with lesions in (sub)cortical areas of the cerebrum was included. Emotion recognition was assessed with the Ekman 60 Faces Test of the FEEST. Patient data were compared to data of 162 matched healthy controls (HC’s). For the patients, whole brain voxel-based lesion–symptom mapping (VLSM) on 3-Tesla MRI images was performed. Results showed that patients performed significantly worse than HC’s on both overall recognition of emotions, and specifically of disgust, fear, sadness and surprise. VLSM showed significant lesion–symptom associations for FEEST total in the right fronto-temporal region. Additionally, VLSM for the distinct emotions showed, apart from overlapping brain regions (insula, putamen and Rolandic operculum), also regions related to specific emotions. These were: middle and superior temporal gyrus (anger); caudate nucleus (disgust); superior corona radiate white matter tract, superior longitudinal fasciculus and middle frontal gyrus (happiness) and inferior frontal gyrus (sadness). Our findings help in understanding how lesions in specific brain regions can selectively affect the recognition of the basic emotions.     

Functional neuroanatomy of emotions: A meta-analysis

The application of functional neuroimaging to the study of human emotion has yielded valuable data; however, the conclusions that may be drawn from any one study are limited. We applied novel statistical techniques to the meta-analysis of 106 PET and fMRI studies of human emotion and tested predictions made by key neuroscientific models. The results demonstrated partial support for asymmetry accounts. Greater left-sided activity was observed for approach emotions, whereas neural activity associated with negative/withdrawal emotions was symmetrical. Support was also found for affect program emotion accounts. The activation distributions associated with fear, disgust, and anger differed significantly. These emotions were most consistently associated in activity in regions associated with selective processing deficits when damaged: the amygdala, the insula and globus pallidus, and the lateral orbitofrontal cortex, respectively. In contrast, the distributions for happiness and sadness did not differ. These findings are considered in the context of conceptualizations of the neural correlates of human emotion.     

Effects of direct and averted gaze on the perception of facially communicated emotion

Research has largely neglected the effects of gaze direction cues on the perception of facial expressions of emotion. It was hypothesized that when gaze direction matches the underlying behavioral intent (approach-avoidance) communicated by an emotional expression, the perception of that emotion would be enhanced (i.e., shared signal hypothesis). Specifically, the authors expected that (a) direct gaze would enhance the perception of approach-oriented emotions (anger and joy) and (b) averted eye gaze would enhance the perception of avoidance-oriented emotions (fear and sadness). Three studies supported this hypothesis. Study 1 examined emotional trait attributions made to neutral faces. Study 2 examined ratings of ambiguous facial blends of anger and fear. Study 3 examined the influence of gaze on the perception of highly prototypical expressions.     

Is love a “basic” emotion?

This article documents the neglect of love in many contemporary emotion theories, despite its prominence in the lay psychology of emotion. We argue that love should be considered a basic emotion, like anger, sadness, happiness, and fear. We discuss the criteria that various theorists use to distinguish basic from nonbasic emotions, and we marshal arguments and evidence from a variety of sources suggesting that love fits the criteria for basicness. We conclude that a number of controversies over the status of love can be resolved by distinguishing between the momentary surge form of love, a basic emotion having properties similar to joy, sadness, fear, etc., and relational love, a bond that develops between people, associated with states that include not only surge love, but many other emotions such as distress and anxiety. Finally, we suggest that “love” is the broad, everyday name for emotions related to three interrelated behavioral systems discussed by Bowlby (1979): attachment, caregiving, and sex.     

Attitudes toward emotions

The present work outlines a theory of attitudes toward emotions, provides a measure of attitudes toward emotions, and then tests several predictions concerning relationships between attitudes toward specific emotions and emotional situation selection, emotional traits, emotional reactivity, and emotion regulation. The present conceptualization of individual differences in attitudes toward emotions focuses on specific emotions and presents data indicating that 5 emotions (anger, sadness, joy, fear, and disgust) load on 5 separate attitude factors (Study 1). Attitudes toward emotions predicted emotional situation selection (Study 2). Moreover, attitudes toward approach emotions (e.g., anger, joy) correlated directly with the associated trait emotions, whereas attitudes toward withdrawal emotions (fear, disgust) correlated inversely with associated trait emotions (Study 3). Similar results occurred when attitudes toward emotions were used to predict state emotional reactivity (Study 4). Finally, attitudes toward emotions predicted specific forms of emotion regulation (Study 5).     

Classifying emotion: a developmental account

The aim of this paper is to propose a systematic classification of emotions which can also characterize their nature. The first challenge we address is the submission of clear criteria for a theory of emotions that determine which mental phenomena are emotions and which are not. We suggest that emotions as a subclass of mental states are determined by their functional roles. The second and main challenge is the presentation of a classification and theory of emotions that can account for all existing varieties. We argue that we must classify emotions according to four developmental stages: 1. pre-emotions as unfocussed expressive emotion states, 2. basic emotions, 3. primary cognitive emotions, and 4. secondary cognitive emotions. We suggest four types of basic emotions (fear, anger, joy and sadness) which are systematically differentiated into a diversity of more complex emotions during emotional development. The classification distinguishes between basic and non-basic emotions and our multi-factorial account considers cognitive, experiential, physiological and behavioral parameters as relevant for constituting an emotion. However, each emotion type is constituted by a typical pattern according to which some features may be more significant than others. Emotions differ strongly where these patterns of features are concerned, while their essential functional roles are the same. We argue that emotions form a unified ontological category that is coherent and can be well defined by their characteristic functional roles. Our account of emotions is supported by data from developmental psychology, neurobiology, evolutionary biology and sociology.     

Perceptual learning and recognition confusion reveal the underlying relationships among the six basic emotions

The six basic emotions (disgust, anger, fear, happiness, sadness, and surprise) have long been considered discrete categories that serve as the primary units of the emotion system. Yet recent evidence indicated underlying connections among them. Here we tested the underlying relationships among the six basic emotions using a perceptual learning procedure. This technique has the potential of causally changing participants’ emotion detection ability. We found that training on detecting a facial expression improved the performance not only on the trained expression but also on other expressions. Such a transfer effect was consistently demonstrated between disgust and anger detection as well as between fear and surprise detection in two experiments (Experiment 1A, n?=?70; Experiment 1B, n?=?42). Notably, training on any of the six emotions could improve happiness detection, while sadness detection could only be improved by training on sadness itself, suggesting the uniqueness of happiness and sadness. In an emotion recognition test using a large sample of Chinese participants (n?=?1748), the confusion between disgust and anger as well as between fear and surprise was further confirmed. Taken together, our study demonstrates that the “basic” emotions share some common psychological components, which might be the more basic units of the emotion system.     

Perceived gaze direction and the processing of facial displays of emotion

There is good reason to believe that gaze direction and facial displays of emotion share an information value as signals of approach or avoidance. The combination of these cues in the analysis of social communication, however, has been a virtually neglected area of inquiry. Two studies were conducted to test the prediction that direct gaze would facilitate the processing of facially communicated approach-oriented emotions (e.g., anger and joy), whereas averted gaze would facilitate the processing of facially communicated avoidance-oriented emotions (e.g., fear and sadness). The results of both studies confirmed the central hypothesis and suggest that gaze direction and facial expression are combined in the processing of emotionally relevant facial information.     

Recognition of all basic emotions varies in accuracy and reaction time: A new verbal method of measurement

To study different aspects of facial emotion recognition, valid methods are needed. The more widespread methods have some limitations. We propose a more ecological method that consists of presenting dynamic faces and measuring verbal reaction times. We presented 120 video clips depicting a gradual change from a neutral expression to a basic emotion (anger, disgust, fear, happiness, sadness and surprise), and recorded hit rates and reaction times of verbal labelling of emotions. Our results showed that verbal responses to six basic emotions differed in hit rates and reaction times: happiness > surprise > disgust > anger > sadness > fear (this means these emotional responses were more accurate and faster). Generally, our data are in accordance with previous findings, but our differentiation of responses is better than the data from previous experiments on six basic emotions.     

Affect bursts: dynamic patterns of facial expression

Affect bursts consist of spontaneous and short emotional expressions in which facial, vocal, and gestural components are highly synchronized. Although the vocal characteristics have been examined in several recent studies, the facial modality remains largely unexplored. This study investigated the facial correlates of affect bursts that expressed five different emotions: anger, fear, sadness, joy, and relief. Detailed analysis of 59 facial actions with the Facial Action Coding System revealed a reasonable degree of emotion differentiation for individual action units (AUs). However, less convergence was shown for specific AU combinations for a limited number of prototypes. Moreover, expression of facial actions peaked in a cumulative-sequential fashion with significant differences in their sequential appearance between emotions. When testing for the classification of facial expressions within a dimensional approach, facial actions differed significantly as a function of the valence and arousal level of the five emotions, thereby allowing further distinction between joy and relief. The findings cast doubt on the existence of fixed patterns of facial responses for each emotion, resulting in unique facial prototypes. Rather, the results suggest that each emotion can be portrayed by several different expressions that share multiple facial actions.