神经动力学证据显示,自上而下的身份认同影响种族的情绪传染。

IF 3.9 3区 工程技术 Q2 NEUROSCIENCES
Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-08-22 DOI:10.1007/s11571-025-10322-1
Chao Kong, Yanqiu Wei, Ping Hu
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引用次数: 0

摘要

面孔包含了情感、种族、身份和年龄等重要信息。大量研究表明,情绪传染受到种族的影响。分类-个性化模型(CIM)表明,情境线索(例如,权威,主观上重要的群体内群体外群体)导致感知者将注意力转移到身份诊断面部特征上,特别是对其他种族的面孔。目前的研究旨在揭示身份是否可以自上而下地影响跨种族的情绪传染,以及这种影响的时间过程。我们招募了30名中国大学生参加两个实验。实验1采用亚洲人和白人的动态情绪面孔来评估不同种族的情绪传染。实验2在实验1的基础上,采用最小群体范式对种族面孔进行身份信息分配。本研究利用ERP分析预测身份对种族情绪传染影响的潜在神经机制,并利用表征相似性分析(RSA)探讨种族、情绪和身份表征的时间动态。结果表明:(1)在实验1中,白人比亚洲人产生更强的P1振幅;在实验2中,RSA结果显示种族表征的时间过程约为100 ms。(2)在实验1和2中,Happy产生的P200振幅比Angry强;亚洲人的P200振幅高于白人;RSA结果表明,情绪表征和情绪感染的时间过程均开始于面孔出现后200 ms左右。(3)在实验2中,P300波幅与身份和种族存在显著的交互作用,在不同的群体条件下,亚洲人的P300波幅强于白人;然而,在相同的群体条件下,两个种族之间的差异不显著。结果表明,认同信息自上而下影响种族情绪传染的神经机制,这种影响至少分为三个阶段:(1)早期自下而上的其他种族知觉分类;(2)情绪和个性化加工的中间阶段;(3)身份线索的后期自上而下调制。我们的研究首次使用分类-个性化模型解释了情绪感染加工的神经动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Neurodynamic evidence reveals identity top-down influences emotional contagion of race.

Neurodynamic evidence reveals identity top-down influences emotional contagion of race.

Neurodynamic evidence reveals identity top-down influences emotional contagion of race.

Neurodynamic evidence reveals identity top-down influences emotional contagion of race.

Faces contain important information about emotion, race, identity, and age. A large body of research has illustrated that emotional contagion is influenced by race. The Categorization-Individuation Model (CIM) suggests that situational cues (e.g., authority, subjectively important ingroup-outgroup) cause perceivers to shift their attention to identity-diagnostic facial characteristics, especially for other-race faces. The current study is designed to reveal whether identity can top-down influence emotional contagion across races, and the time course of this influence. We recruited 30 Chinese college students to participate in two experiments. Experiment 1 used dynamic emotional faces of Asians and Whites to assess emotional contagion in different races. Experiment 2, based on experiment 1, employed a minimal group paradigm assigning identity information to the racial faces. We used ERP analysis to predict the potential neural mechanism of the influence of identity on racial emotion contagion, and used representation similarity analysis (RSA) to explore the temporal dynamics of the representation of race, emotion, and identity. Our results showed that (1) in experiment 1, Whites produced stronger P1 amplitudes than Asians; in experiment 2, RSA results showed that the time course of representation of race was about 100 ms. (2) In experiments 1 and 2, Happy produced stronger P200 amplitude than Angry; Asians produced stronger P200 amplitude than Whites; The RSA results showed that the time course of representation of emotion and emotional contagion both began about 200 ms after face appearance. (3) In experiment 2, the P300 amplitudes showed a significant interaction of identity and race, and in different group conditions, the P300 amplitude in Asians was stronger than in Whites; however, in the same group conditions, the difference between the two races was insignificant. Results illustrate that identity information top-down influences the neural mechanisms of racial emotional contagion, and the effects are divided into at least three stages: (1) an early stage bottom-up perceptual categorization of other-race; (2) a middle stage emotional and individualization processing; and (3) a late stage top-down modulation by identity cues. Our study is the first to explain the neurodynamics of emotional contagion processing using the Categorization-Individuation Model.

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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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