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情绪面孔搜索效率的脑形态学基础

The brain anatomical basis of emotional face advantage
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摘要 人类对面孔加工的特异性和有效性已被许多研究所证实,快速感知他人的情绪表情对个体的社会行为有重要作用.前人研究表明,情绪面孔的加工显著快于中性面孔,神经影像学研究也表明杏仁核等脑区对情绪面孔表现出显著的激活.然而,多种情绪面孔加工的优势效应的共同的大脑结构基础还没有得到揭示.本研究使用视觉搜索范式,验证了情绪面孔搜索显著快于中性面孔搜索.通过计算搜索情绪面孔和搜索中性面孔的拟合直线的斜率之差,得到每个被试高兴和恐惧面孔搜索的效率,发现两种情绪面孔搜索效率呈现显著的正相关.在此基础上,结合核磁共振影像基于体素的形态学分析,研究情绪面孔加工搜索效率的个体差异的大脑结构基础.结果发现,高兴和恐惧的情绪面孔的搜索效率均与右侧后扣带和左侧顶上小叶区域的灰质体积呈显著的相关.这表明,个体对不同的情绪面孔表情的敏感性的个体差异可能有共同的脑结构基础. Human beings are quite efficient in emotional face processing,which is of great importance for individuals in their social interactions.Previous studies showed that processing of emotional face was significantly faster than that of neutral face,and individuals showed variability in emotional face processing efficiency.Evidences from functional magnetic resonance imaging researches indicated that brain regions such as amygdala were significantly activated at the present of emotional faces.However,the brain structural basis of this superiority of emotional face processing had not been revealed.The present study combined visual search paradigm and structural magnetic resonance imaging to explore the brain structural basis of individual difference of emotional processing efficiency.In the visual search experiment,we asked the subjects to search for an emotional(a happy or fearful face) face or a target gender(a neutral face).Two-way(set size×target type) repeated measure analysis of RTs were done respective to happy and fearful face and their corresponding face gender search.We found significant interaction of set size and target type for both of them,and the main effects of set size and target type were significant as well.For further analysis,we compare the search slopes of emotional face and face gender search,and found that every subject showed a shallower search function for emotional face search than face gender search,indicating a stable emotional face advantage.Happy and fearful face advantage indexes were calculated for each subject.We then collected structural MRI images of each subject.Then we used multiple regression analysis to explore the correlation between the emotional face advantage indexes and the brain gray matter volume.We found that both the processing advantages of happy and fearful face were significantly correlated with gray matter volume of brain regions in the right posterior cingulate cortex and the left superior parietal lobe.The GMV in the left superior parietal lobe was positively correlated with the emotional face advantage indexes while the GMV in the right posterior cingulate cortex was negatively correlated with them.Previous studies found that superior parietal lobe was involved in attentional shift for different targets,larger GMV of this region might indicate better ability to search a certain target.Posterior cingulate cortex was widely found to participate in the interaction of emotion regulation and memory arousal.It was also an important part in the target-negative network and showed decreased activation in attention-related task,which was consistent with the results in the present study.In addition to these common areas,there were brain areas that only showed correlation with one of the emotional face advantage index.In the fearful face advantage analysis,left temporal gyrus and left posterior cingulate cortex were also significantly correlated with fearful face advantage index.In the happy face advantage analysis,right superior parietal lobe was found to be significantly correlated with happy face advantage index.These results indicated that different emotional face processing included different composition.These results showed that regardless of different composition of different emotional face processing,individual difference for different emotional face processing might have a common brain structural basis.
出处 《科学通报》 EI CAS CSCD 北大核心 2016年第34期3698-3707,共10页 Chinese Science Bulletin
基金 国家自然科学基金(31271087 31470981 31571137 31500885) 中央高校基本科研业务费专项资金(SWU1509383 SWU1509451)资助
关键词 情绪面孔加工 视觉搜索 基于体素的形态学分析 灰质体积 右侧后扣带 左侧顶上小叶 emotional face processing visual search voxel-based morphometry analysis gray matter volume right posterior cingulate cortex left superior parietal lobe
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