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Investigating Oscillatory Activity in Cerebral Cortex during Affective Picture Processing

机译:在情感图像处理期间研究脑皮层中振荡活性

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Emotion plays an important role in people's life. Previous studies have revealed that the characteristics of high frequency bands of Electroencephalogram (EEG) have shown good performance in emotion recognition. However, there is a lack of clear and unified conclusions about which brain regions to select for feature extraction. In this study, pleasant, neutral, unpleasant and scrambled pictures selected from International Affective Picture System (IAPS) were presented to subjects. In order to improve the spatial resolution, source estimation algorithm was used to reconstruct the cortical response in the processing of affective pictures. Oscillation activities of different frequency bands in the key brain regions were studied in cerebral cortex. The results showed that the activation of the brain was the weakest under scrambled condition. Referring to neutral condition, the energy of Alpha, Beta and Gamma bands under pleasant condition increased significantly in the bilateral middle temporal gyrus, middle frontal gyrus and prefrontal gyrus, while the energy of Alpha and Beta bands under unpleasant condition decreased significantly in the left middle occipital gyrus and bilateral middle temporal gyrus. These results provide a scientific basis for the selection of electrodes and frequency bands in emotion recognition based on EEG signals.
机译:情绪在人们的生活中发挥着重要作用。以前的研究表明,脑电图的高频带(EEG)的特性在情感识别方面表现出良好的性能。然而,缺乏明确和统一的结论,脑区域选择特征提取。在本研究中,从国际情感图像系统(IAP)中选择的愉快,中性,令人不愉快和争吵图片被呈现给受试者。为了提高空间分辨率,源估计算法用于重建情感图像处理中的皮质响应。在脑皮层中研究了关键脑区不同频带的振动活动。结果表明,大脑的激活是在扰乱条件下最弱的。参照中性条件,在双侧中间时颞克鲁斯,中正面回归和前逆转带中令人愉悦的病症下α,β和γ带的能量显着增加,而在左侧中间α和β带的能量下降显着下降枕骨血糖和双侧中间时颞克鲁鲁斯。这些结果为基于EEG信号的情绪识别中的电极和频段提供了科学依据。

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