Multimodal investigations of emotional face processing and social trait judgment of faces

IF 4.1 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Hongbo Yu, Chujun Lin, Sai Sun, Runnan Cao, Kohitij Kar, Shuo Wang
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Abstract

Faces are among the most important visual stimuli that humans perceive in everyday life. While extensive literature has examined emotional processing and social evaluations of faces, most studies have examined either topic using unimodal approaches. In this review, we promote the use of multimodal cognitive neuroscience approaches to study these processes, using two lines of research as examples: ambiguity in facial expressions of emotion and social trait judgment of faces. In the first set of studies, we identified an event-related potential that signals emotion ambiguity using electroencephalography and we found convergent neural responses to emotion ambiguity using functional neuroimaging and single-neuron recordings. In the second set of studies, we discuss how different neuroimaging and personality-dimensional approaches together provide new insights into social trait judgments of faces. In both sets of studies, we provide an in-depth comparison between neurotypicals and people with autism spectrum disorder. We offer a computational account for the behavioral and neural markers of the different facial processing between the two groups. Finally, we suggest new practices for studying the emotional processing and social evaluations of faces. All data discussed in the case studies of this review are publicly available.

Abstract Image

Abstract Image

情绪性面孔加工与面孔社会特质判断的多模态研究。
面孔是人类在日常生活中感知到的最重要的视觉刺激之一。虽然大量的文献研究了面部的情绪处理和社会评价,但大多数研究都是使用单模态方法来研究这两个主题。在这篇综述中,我们提倡使用多模态认知神经科学方法来研究这些过程,以两条研究线为例:情感面部表情的模糊性和面孔的社会特征判断。在第一组研究中,我们利用脑电图发现了一个事件相关电位,该电位表示情绪模糊,我们利用功能性神经成像和单神经元记录发现了对情绪模糊的趋同神经反应。在第二组研究中,我们讨论了不同的神经成像和人格维度方法如何共同为面孔的社会特征判断提供新的见解。在这两组研究中,我们提供了神经典型和自闭症谱系障碍患者之间的深入比较。我们为两组之间不同面部处理的行为和神经标记提供了一个计算帐户。最后,我们提出了研究面孔的情绪加工和社会评价的新方法。本综述的案例研究中讨论的所有数据都是公开的。
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来源期刊
Annals of the New York Academy of Sciences
Annals of the New York Academy of Sciences 综合性期刊-综合性期刊
CiteScore
11.00
自引率
1.90%
发文量
193
审稿时长
2-4 weeks
期刊介绍: Published on behalf of the New York Academy of Sciences, Annals of the New York Academy of Sciences provides multidisciplinary perspectives on research of current scientific interest with far-reaching implications for the wider scientific community and society at large. Each special issue assembles the best thinking of key contributors to a field of investigation at a time when emerging developments offer the promise of new insight. Individually themed, Annals special issues stimulate new ways to think about science by providing a neutral forum for discourse—within and across many institutions and fields.
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