Transcranial Direct Current Stimulation Over the Right Temporal Parietal Junction Facilitates Spontaneous Micro-Expression Recognition.
Transcranial Direct Current Stimulation Over the Right Temporal Parietal Junction Facilitates Spontaneous Micro-Expression Recognition.
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右颞顶叶交界处的经颅直流电刺激促进自发微表情识别
DOI：
10.3389/fnhum.2022.933831
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发表时间：
2022
影响因子：
2.9
通讯作者：
中科院分区：
文献类型：
--
作者：
微表情是短暂而微妙的情感表达。由于微表情是自发的，不受人的思想控制，因此被认为是真实情绪的指标。它们的准确识别和解读促进了人际互动和社会交流。因此，提高微表情识别能力备受关注。在本研究中，我们使用中文版的微表情训练工具（METT）研究了训练对微表情识别的影响。我们的目标是确认自发微表情的识别准确性是否可以通过训练和大脑刺激来提高。由于右颞顶叶连接（rTPJ）已被证明参与面部情绪识别的外显过程，我们假设，rTPJ将发挥作用，促进微表情的识别。结果表明，rTPJ的阳极经颅直流电刺激（tDCS）确实改善了对自发微表达的识别，特别是对于那些与恐惧相关的微表达。在阳极组中，识别恐惧自发微表情的准确性提高与个人痛苦呈正相关，但在假手术组中则不然。我们的研究支持tDCS和METT的组合使用可以是训练和增强微表达识别的可行方法。
Micro-expressions are fleeting and subtle emotional expressions. As they are spontaneous and uncontrollable by one’s mind, micro-expressions are considered an indicator of genuine emotions. Their accurate recognition and interpretation promote interpersonal interaction and social communication. Therefore, enhancing the ability to recognize micro-expressions has captured much attention. In the current study, we investigated the effects of training on micro-expression recognition with a Chinese version of the Micro-Expression Training Tool (METT). Our goal was to confirm whether the recognition accuracy of spontaneous micro-expressions could be improved through training and brain stimulation. Since the right temporal parietal junction (rTPJ) has been shown to be involved in the explicit process of facial emotion recognition, we hypothesized that the rTPJ would play a role in facilitating the recognition of micro-expressions. The results showed that anodal transcranial direct-current stimulation (tDCS) of the rTPJ indeed improved the recognition of spontaneous micro-expressions, especially for those associated with fear. The improved accuracy of recognizing fear spontaneous micro-expressions was positively correlated with personal distress in the anodal group but not in the sham group. Our study supports that the combined use of tDCS and METT can be a viable way to train and enhance micro-expression recognition.
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