The decoding of facial expression of emotions in humans

人类情绪面部表情的解码

• 批准号: 249974-2007
• 负责人: Gosselin, Frédéric
• 金额: $ 1.29万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=524870
• 关键词: decoding; facial; expression; emotions; humans

Facial expressions communicate information from which we can quickly infer the state of mind of our peers and adjust our behavior accordingly. The aim of our research program is to examine how the human brain decodes the static and dynamic display of the six basic facial expressions (fear, happiness, sadness, disgust, anger, and surprise) as well as pain, another socially significant emotion expressed facially. We will address three main issues: How efficient is static vs. dynamic facial expression discrimination? What information is used during this discrimination at different stages of visual processing? How universal is this use of information? We will make abundant use of a variant of Bubbles, a psychophysical technique we have pioneered that reveals the information effectively driving a given behavioural response during a recognition task (Gosselin & Schyns, 2001). We will record response accuracy, response time, gaze movements, galvanic skin response, blood-oxygen-level-dependent brain activity, magnetoencephalographic and electroencephalographic activity in healthy Canadian and Japanese individuals, prosopagnosic patients with dammage to the "occipital face area" (OFA) or the "fusiform face area" (FFA), and patients with dammage either to the insula or the amygdala during the discrimination of sparse facial expressions. This will allow us to address specific questions such as: Which static vs. dynamic features of facial expressions are the most effective in driving a given response in healthy individuals? By comparing this effective information for Canadian and Japanese healthy observers judging the facial expressions portrayed by Canadian and Japanese actors, we will shed new light on the other-race effect. By comparing the effective information for healthy individuals and patients with circumscribed brain lesions, we will better understand the role of the lesioned regions. What features of disgusted faces, for example, are driving the activity in the insula? Is the amygdala sensitive to the eyes in expressions other than fear? What are the FFA and the OFA sensitive to in faces? What is the difference between the processing of right and left brain structures?

面部表情传达信息，我们可以从中快速推断同伴的心理状态，并相应地调整我们的行为。我们研究计划的目的是研究人类大脑如何解码六种基本面部表情（恐惧，快乐，悲伤，厌恶，愤怒和惊讶）以及疼痛的静态和动态显示，疼痛是另一种面部表达的社会重要情绪。我们将解决三个主要问题：静态与动态面部表情识别的效率如何？在视觉处理的不同阶段，这种辨别过程使用了什么信息？这种信息的使用有多普遍？我们将充分利用Bubbles的变体，这是我们开创的一种心理物理学技术，可以揭示在识别任务中有效驱动给定行为反应的信息（Gosselin & Schyns，2001）。我们将记录反应准确性、反应时间、凝视运动、皮肤电反应、血氧水平依赖性脑活动、脑磁图和脑电图活动，这些活动在健康的加拿大和日本个体、“枕面部区域”（OFA）或“梭状面部区域”（FFA）受损的面容失认症患者、以及杏仁核或杏仁核受损的患者在稀疏表情识别中的表现。这将使我们能够解决具体的问题，如：面部表情的哪些静态与动态特征在驱动健康个体的给定反应方面最有效？通过比较加拿大和日本的健康观察员判断加拿大和日本演员所描绘的面部表情的有效信息，我们将对其他种族效应有新的认识。通过比较健康个体和局限性脑病变患者的有效信息，我们将更好地了解病变区域的作用。例如，厌恶的面孔的哪些特征会驱动大脑的活动？杏仁核对恐惧以外的眼神是否敏感？FFA和OFA对面部的哪些部位敏感？左脑和右脑的结构有什么区别？