Zhao Guozhen, Zhang Yulin, Ge Yan
CAS Key Laboratory of Behavioral Science, Institute of Psychology Beijing, China.
Department of Psychology, University of Chinese Academy of Sciences Beijing, China.
Front Behav Neurosci. 2018 Nov 1;12:225. doi: 10.3389/fnbeh.2018.00225. eCollection 2018.
A traditional model of emotion cannot explain the differences in brain activities between two discrete emotions that are similar in the valence-arousal coordinate space. The current study elicited two positive emotions (amusement and tenderness) and two negative emotions (anger and fear) that are similar in both valence and arousal dimensions to examine the differences in brain activities in these emotional states. Frontal electroencephalographic (EEG) asymmetry and midline power in three bands (theta, alpha and beta) were measured when participants watched affective film excerpts. Significant differences were detected between tenderness and amusement on FP1/FP2 theta asymmetry, F3/F4 theta and alpha asymmetry. Significant differences between anger and fear on FP1/FP2 theta asymmetry and F3/F4 alpha asymmetry were also observed. For midline power, midline theta power could distinguish two negative emotions, while midline alpha and beta power could effectively differentiate two positive emotions. Liking and dominance were also related to EEG features. Stepwise multiple linear regression results revealed that frontal alpha and theta asymmetry could predict the subjective feelings of two positive and two negative emotions in different patterns. The binary classification accuracy, which used EEG frontal asymmetry and midline power as features and support vector machine (SVM) as classifiers, was as high as 64.52% for tenderness and amusement and 78.79% for anger and fear. The classification accuracy was improved after adding these features to other features extracted across the scalp. These findings indicate that frontal EEG asymmetry and midline power might have the potential to recognize discrete emotions that are similar in the valence-arousal coordinate space.
传统的情绪模型无法解释在效价-唤醒坐标空间中相似的两种离散情绪之间大脑活动的差异。当前研究诱发了在效价和唤醒维度上都相似的两种积极情绪（娱乐和柔情）以及两种消极情绪（愤怒和恐惧），以检验这些情绪状态下大脑活动的差异。当参与者观看情感电影片段时，测量了三个频段（θ、α和β）的额叶脑电图（EEG）不对称性和中线功率。在FP1/FP2的θ不对称性、F3/F4的θ和α不对称性方面，柔情和娱乐之间检测到显著差异。在FP1/FP2的θ不对称性和F3/F4的α不对称性方面，愤怒和恐惧之间也观察到显著差异。对于中线功率，中线θ功率可以区分两种消极情绪，而中线α和β功率可以有效区分两种积极情绪。喜好和支配性也与EEG特征有关。逐步多元线性回归结果表明，额叶α和θ不对称性可以以不同模式预测两种积极情绪和两种消极情绪的主观感受。以EEG额叶不对称性和中线功率为特征、支持向量机（SVM）为分类器的二元分类准确率，对于柔情和娱乐高达64.52%，对于愤怒和恐惧高达78.79%。将这些特征添加到头皮其他部位提取的特征后，分类准确率有所提高。这些发现表明，额叶EEG不对称性和中线功率可能有潜力识别在效价-唤醒坐标空间中相似的离散情绪。
