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Abstract Representations of Emotions Perceived From the Face Body and Whole-Person Expressions in the Left Postcentral Gyrus

机译:从左后中央回的面部身体和全人表情感知的情感的抽象表示

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摘要

Emotions can be perceived through the face, body, and whole-person, while previous studies on the abstract representations of emotions only focused on the emotions of the face and body. It remains unclear whether emotions can be represented at an abstract level regardless of all three sensory cues in specific brain regions. In this study, we used the representational similarity analysis (RSA) to explore the hypothesis that the emotion category is independent of all three stimulus types and can be decoded based on the activity patterns elicited by different emotions. Functional magnetic resonance imaging (fMRI) data were collected when participants classified emotions (angry, fearful, and happy) expressed by videos of faces, bodies, and whole-persons. An abstract emotion model was defined to estimate the neural representational structure in the whole-brain RSA, which assumed that the neural patterns were significantly correlated in within-emotion conditions ignoring the stimulus types but uncorrelated in between-emotion conditions. A neural representational dissimilarity matrix (RDM) for each voxel was then compared to the abstract emotion model to examine whether specific clusters could identify the abstract representation of emotions that generalized across stimulus types. The significantly positive correlations between neural RDMs and models suggested that the abstract representation of emotions could be successfully captured by the representational space of specific clusters. The whole-brain RSA revealed an emotion-specific but stimulus category-independent neural representation in the left postcentral gyrus, left inferior parietal lobe (IPL) and right superior temporal sulcus (STS). Further cluster-based MVPA revealed that only the left postcentral gyrus could successfully distinguish three types of emotions for the two stimulus type pairs (face-body and body-whole person) and happy versus angry/fearful, which could be considered as positive versus negative for three stimulus type pairs, when the cross-modal classification analysis was performed. Our study suggested that abstract representations of three emotions (angry, fearful, and happy) could extend from the face and body stimuli to whole-person stimuli and the findings of this study provide support for abstract representations of emotions in the left postcentral gyrus.
机译:可以通过脸部,身体和整个人来感知情绪,而先前关于情绪抽象表示的研究仅集中于脸部和身体的情绪。尚不清楚是否可以在抽象的水平上表达情绪,而不管特定大脑区域中的所有三种感觉线索如何。在这项研究中,我们使用代表性相似性分析(RSA)来探讨以下假设:情绪类别与所有三种刺激类型无关,并且可以根据不同情绪引发的活动模式进行解码。当参与者对由面部,身体和整个人的视频表示的情绪(愤怒,恐惧和快乐)进行分类时,会收集功能磁共振成像(fMRI)数据。定义了一个抽象的情绪模型来估计全脑RSA中的神经表示结构,该模型假定在不考虑刺激类型的情绪内条件下神经模式显着相关,而在情绪间条件下则不相关。然后将每个体素的神经表示相异矩阵(RDM)与抽象情感模型进行比较,以检查特定的类群是否可以识别在刺激类型之间普遍存在的情感的抽象表示。神经RDM与模型之间的显着正相关性表明,特定簇的表示空间可以成功捕获情感的抽象表示。全脑RSA在左中后回,左下顶叶(IPL)和右上颞沟(STS)中显示了特定于情绪但与刺激类别无关的神经表示。进一步基于聚类的MVPA显示,只有左中后回能够成功区分两种刺激类型对(面部-身体和整个身体的人)以及快乐与愤怒/恐惧的三种情绪,这可以被认为是积极与消极。对于三个刺激类型对,执行交叉模式分类分析时。我们的研究表明,三种情绪(愤怒,恐惧和快乐)的抽象表示可以从面部和身体刺激扩展到全人刺激,并且本研究的发现为左后中央回的情绪抽象表示提供了支持。

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