面孔表情加工的结构编码和特征编码ERP特点研究

发布时间：2018-10-16 21:19

【摘要】：利用事件相关电位(ERP)技术,分析面孔表情的早期和晚期加工特点,探讨面孔表情的结构编码和特征编码机制。随机呈现3种卡通面孔表情图片(中性、愉快、愤怒)及3种非面孔图片,要求14名被试者执行面孔及表情识别任务。利用Neuroscan 64导电极帽记录脑电,对面孔和非面孔、不同面孔表情诱发的早期成分N170及晚期正成分(LPC)进行分析。结果显示:面孔与非面孔图片的N170存在明显差异,在P7电极处,面孔与非面孔诱发的N170幅值分别为(-9.15±1.47)μV和(-6.91±1.21)μV;而不同面孔表情的N170差异不明显,N170不受面孔表情内容的调制。不同面孔表情在刺激后350~550 ms诱发了明显的LPC,其幅值存在明显差异,呈现显著的表情效应,在CZ电极处,中性、愉快及愤怒面孔诱发的LPC幅值分别为(6.11±1.79)μV、(7.49±1.31)μV和(9.89±1.77)μV)。以上结果表明,面孔识别的早期与晚期加工机制不同,早期成分N170反映了面孔结构编码的加工,即对整个面孔轮廓的表征;而面孔的情绪加工主要体现在晚期成分,LPC反映面孔的特征编码加工。
[Abstract]:The early and late processing characteristics of facial expression were analyzed by event-related potential (ERP) technique, and the structural coding and feature coding mechanism of facial expression were discussed. Three kinds of cartoon facial expressions (neutral, pleasant, angry) and three non-facial images were randomly presented, and 14 subjects were asked to perform facial and facial recognition tasks. The electroencephalogram (EEG) was recorded by Neuroscan 64 conductive cap. The early component N170 and late positive component (LPC) induced by different facial expressions were analyzed. The results showed that there were significant differences in N170 between faces and non-faces. At the P7 electrode, the N170 amplitudes induced by faces and non-faces were (-9.15 卤1.47) 渭 V and (-6.91 卤1.21) 渭 V, respectively. The amplitude of LPC, induced by different facial expressions was significantly different after stimulation with 350 ~ 550 ms, showing a significant expression effect. At the CZ electrode, the LPC amplitudes induced by neutral, pleasant and angry faces were (6.11 卤1.79) 渭 V, (7.49 卤1.31) 渭 V and (9.89 卤1.77) 渭 V)., respectively.The amplitude of LPC induced by different facial expressions was (6.11 卤1.79) 渭 V, (7.49 卤1.31) 渭 V and (9.89 卤1.77) 渭 V)., respectively. These results show that the early and late processing mechanisms of face recognition are different. The early component N170 reflects the processing of face structure coding, that is, the representation of the whole face profile. The emotional processing of faces is mainly reflected in the late components, and LPC reflects the feature coding processing of faces.
【作者单位】：燕山大学电气工程学院生物医学工程系;
【基金】：河北省科学技术研究与发展计划重点研究基础项目(12966120D) 秦皇岛市科学技术研究与发展计划项目(201401A215)
【分类号】：R338

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