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

机译:可分离的神经途径参与静态和动态面部表情中的情绪识别。

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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.
机译:情绪的面部表情会强烈影响社会行为。使用此类表达的静态(通常是照片)显示,已根据经验定义了认为是解码这些社交信号的大脑区域的分布式网络。然而,面部表情是高度动态的信号,以面部动作模式编码情绪信息。这项研究试图确定通过静态或动态显示对情感面部表情进行编码是否与不同的神经相关性相关联以对其进行解码。我们使用正电子发射断层显像来比较健康男性和女性在静态和动态面部表情的愤怒和幸福的情绪强度显式判断期间的大脑活动模式。与移动中性面部表情的空间取向判断相比,动态表情中愤怒的判断与内侧,上,中,下额叶皮层和小脑的右旋活动增加有关,而幸福感的判断则与相对表达有关。激活楔骨,颞皮层以及中部,内侧和上额叶皮层。相反,在静态面部表情中愤怒或幸福的感知激活了先前显示出参与运动图像的运动,前额叶和顶叶皮层网络。动态和静态表达的直接对比表明,V5区域,颞上沟,上颌骨皮层和小脑的差异性激活表现为动态愤怒表达,V5区域,上皮皮质,脑干和中颞皮质的差异性激活表现为动态快乐表达式。因此,神经激活的分布与面部近乎恒定的生物运动中的情绪信息的分析有关,并且对于生气和高兴的表情有所不同。面部情绪表达的静态显示可能代表非典型刺激,这些非典型刺激是通过心理策略和神经事件针对情绪内容进行处理的,这些心理策略和神经事件与其在生态学上更相关的动态对应物不同。

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