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不同模态和脑区情绪表达的共性和差异。

Commonalities and variations in emotion representation across modalities and brain regions.

机构信息

Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.

Graduate School of Science and Engineering, Saitama University, Saitama, Japan.

出版信息

Sci Rep. 2024 Sep 9;14(1):20992. doi: 10.1038/s41598-024-71690-y.

Abstract

Humans express emotions through various modalities such as facial expressions and natural language. However, the relationships between emotions expressed through different modalities and their correlations with neural activities remain uncertain. Here, we aimed to unveil some of these uncertainties by investigating the similarity of emotion representations across modalities and brain regions. First, we represented various emotion categories as multi-dimensional vectors derived from visual (face), linguistic, and visio-linguistic data, and used representational similarity analysis to compare these modalities. Second, we examined the linear transferability of emotion representation from other modalities to the visual modality. Third, we compared the representational structure derived in the first step with those from brain activities across 360 regions. Our findings revealed that emotion representations share commonalities across modalities with modality-type dependent variations, and they can be linearly mapped from other modalities to the visual modality. Additionally, emotion representations in uni-modalities showed relatively higher similarity with specific brain regions, while multi-modal emotion representation was most similar to representations across the entire brain region. These findings suggest that emotional experiences are represented differently across various brain regions with varying degrees of similarity to different modality types, and that they may be multi-modally conveyable in visual and linguistic domains.

摘要

人类通过面部表情和自然语言等多种方式表达情感。然而,通过不同方式表达的情感之间的关系及其与神经活动的相关性仍然不确定。在这里,我们旨在通过研究跨模态和脑区的情感表示的相似性来揭示其中的一些不确定性。首先,我们将各种情感类别表示为多维向量,这些向量来自视觉(面部)、语言和视听说数据,并使用表示相似性分析来比较这些模态。其次,我们检查了从其他模态到视觉模态的情感表示的线性可转移性。第三,我们比较了第一步中得出的表示结构与来自 360 个区域的大脑活动的表示结构。我们的研究结果表明,情感表示在跨模态上具有共同特征,同时具有模态类型依赖性的变化,并且可以从其他模态线性映射到视觉模态。此外,单模态情感表示与特定脑区具有相对较高的相似性,而多模态情感表示与整个脑区的表示最为相似。这些发现表明,情感体验在不同的大脑区域中以不同的方式表示,与不同的模态类型具有不同程度的相似性,并且它们可能在视觉和语言领域以多模态的方式传达。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17fc/11385795/e6dab470f4bf/41598_2024_71690_Fig1_HTML.jpg

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