Suppr超能文献

不同的神经通路参与了对静态和动态面部表情中情绪的识别。

Dissociable neural pathways are involved in the recognition of emotion in static and dynamic facial expressions.

作者信息

Kilts Clinton D, Egan Glenn, Gideon Deborah A, Ely Timothy D, Hoffman John M

机构信息

Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia 30322, USA.

出版信息

Neuroimage. 2003 Jan;18(1):156-68. doi: 10.1006/nimg.2002.1323.

Abstract

Facial expressions of emotion powerfully influence social behavior. The distributed network of brain regions thought to decode these social signals has been empirically defined using static, usually photographic, displays of such expressions. Facial emotional expressions are however highly dynamic signals that encode the emotion message in facial action patterns. This study sought to determine whether the encoding of facial expressions of emotion by static or dynamic displays is associated with different neural correlates for their decoding. We used positron emission tomography to compare patterns of brain activity in healthy men and women during the explicit judgment of emotion intensity in static and dynamic facial expressions of anger and happiness. Compared to judgments of spatial orientation for moving neutral facial expressions, the judgment of anger in dynamic expressions was associated with increased right-lateralized activity in the medial, superior, middle, and inferior frontal cortex and cerebellum, while judgments of happiness were associated with relative activation of the cuneus, temporal cortex, and the middle, medial, and superior frontal cortex. In contrast, the perception of anger or happiness in static facial expressions activated a motor, prefrontal, and parietal cortical network previously shown to be involved in motor imagery. The direct contrast of dynamic and static expressions indicated differential activation of visual area V5, superior temporal sulcus, periamygdaloid cortex, and cerebellum for dynamic angry expressions and differential activation of area V5, extrastriate cortex, brain stem, and middle temporal cortical activations for dynamic happy expressions. Thus, a distribution of neural activations is related to the analysis of emotion messages in the nearly constant biological motion of the face and differ for angry and happy expressions. Static displays of facial emotional expression may represent noncanonical stimuli that are processed for emotion content by mental strategies and neural events distinct from their more ecologically relevant dynamic counterparts.

摘要

情绪的面部表情对社会行为有着强大的影响。人们认为用于解码这些社会信号的大脑区域分布式网络已通过此类表情的静态(通常是照片)展示进行了实证定义。然而,面部情绪表情是高度动态的信号,它们通过面部动作模式对情绪信息进行编码。本研究旨在确定静态或动态展示对面部情绪表情的编码是否与解码时不同的神经关联有关。我们使用正电子发射断层扫描技术,比较健康男性和女性在明确判断愤怒和快乐情绪的静态和动态面部表情的强度时的大脑活动模式。与对动态中性面部表情的空间方向判断相比,动态表情中愤怒的判断与内侧、额上、额中、额下皮质和小脑右侧化活动增加有关,而快乐的判断与楔叶、颞叶皮质以及额中、额内侧和额上皮质的相对激活有关。相比之下,静态面部表情中愤怒或快乐的感知激活了一个先前已证明参与运动想象的运动、前额叶和顶叶皮质网络。动态和静态表情的直接对比表明,动态愤怒表情在视觉区域V5、颞上沟、杏仁核周围皮质和小脑有差异激活,动态快乐表情在区域V5、纹外皮质、脑干和颞中皮质有差异激活。因此,神经激活的分布与对面部近乎恒定的生物运动中的情绪信息分析有关,并且愤怒和快乐表情有所不同。面部情绪表情的静态展示可能代表非典型刺激,它们通过与更符合生态的动态对应物不同的心理策略和神经事件来处理情绪内容。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验