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在对情绪模糊面孔进行分类时,感觉运动活动增加。

Increased sensorimotor activity during categorisation of emotionally ambiguous faces.

机构信息

School of Psychology, The University of Adelaide, Adelaide, Australia.

School of Psychology, The University of Sydney, Sydney, Australia.

出版信息

Eur J Neurosci. 2024 Sep;60(6):5217-5233. doi: 10.1111/ejn.16505. Epub 2024 Aug 13.

Abstract

Actions are rarely devoid of emotional content. Thus, a more complete picture of the neural mechanisms underlying the mental simulation of observed actions requires more research using emotion information. The present study used high-density electroencephalography to investigate mental simulation associated with facial emotion categorisation. Alpha-mu rhythm modulation was measured at each frequency, from 8 Hz to 13 Hz, to infer the degree of sensorimotor simulation. Results suggest the sensitivity of the sensorimotor activity to emotional information, because (1) categorising static images of neutral faces as happy or sad was associated with stronger suppression in the central region than categorising clearly happy faces, (2) there was preliminary evidence indicating that the strongest suppression in the central region was in response to neutral faces, followed by sad and then happy faces and (3) in the control task, which required categorising images with the head oriented right, left, or forward as right or left, differences between conditions showed a pattern more indicative of task difficulty rather than sensorimotor engagement. Dissociable processing of emotional information in facial expressions and directionality information in head orientations was further captured in beta band activity (14-20 Hz). Stronger mu suppression to neutral faces indicates that sensorimotor simulation extends beyond crude motor mimicry. We propose that mu rhythm responses to facial expressions may serve as a biomarker for empathy circuit activation. Future research should investigate whether atypical or inconsistent mu rhythm responses to facial expressions indicate difficulties in understanding or sharing emotions.

摘要

动作很少是没有情感内容的。因此,要更全面地了解观察到的动作的心理模拟背后的神经机制,需要更多地使用情绪信息进行研究。本研究使用高密度脑电图研究与面部情绪分类相关的心理模拟。在 8-13 Hz 的每个频率测量阿尔法-缪节律调制,以推断感觉运动模拟的程度。结果表明,感觉运动活动对情绪信息的敏感性,因为(1)将中性面孔的静态图像分类为快乐或悲伤与中央区域的抑制更强有关,而不是将清晰快乐的面孔分类,(2)有初步证据表明,中央区域最强的抑制是对中性面孔的反应,其次是悲伤面孔,然后是快乐面孔,(3)在控制任务中,需要将头部朝向右侧、左侧或前方的图像分类为右侧或左侧,条件之间的差异显示出更符合任务难度而不是感觉运动参与的模式。面部表情中的情绪信息和头部方向中的方向性信息在β波段活动(14-20 Hz)中得到了分离处理。对中性面孔的更强的缪抑制表明感觉运动模拟超出了粗略的运动模仿。我们提出,面部表情的缪节律反应可能是同理心回路激活的生物标志物。未来的研究应该调查面部表情的缪节律反应是否异常或不一致是否表明理解或分享情绪的困难。

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