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利用细胞构筑最大概率图谱分离杏仁核内对动态面部表情的反应。

Segregating intra-amygdalar responses to dynamic facial emotion with cytoarchitectonic maximum probability maps.

作者信息

Hurlemann René, Rehme Anne Kathrin, Diessel Martin, Kukolja Juraj, Maier Wolfgang, Walter Henrik, Cohen Michael X

机构信息

Department of Psychiatry, University of Bonn, 53105 Bonn, Germany.

出版信息

J Neurosci Methods. 2008 Jul 15;172(1):13-20. doi: 10.1016/j.jneumeth.2008.04.004. Epub 2008 Apr 12.

DOI:10.1016/j.jneumeth.2008.04.004
PMID:18486975
Abstract

Multiple lines of evidence converge on the human amygdala as a core moderator of facial emotion perception. The major subregions of the human amygdala have been anatomically delineated, but the individual contribution of these subregions to facial emotion perception is unclear. Here we combined functional MRI (fMRI) with cytoarchitectonically defined maximum probabilistic maps to investigate the response characteristics of amygdala subregions in 14 subjects presented with dynamic animations of angry and happy relative to neutral facial expressions. We localized facial emotion-related signal changes in the basolateral and superficial (cortical) subregions of the left amygdala, with most robust responses observed to happy faces. Moreover, we demonstrate a differential neural response to happy faces in ventromedial prefrontal cortex, which is consistent with a hypothesized role of this brain region in positive valence processing. Furthermore, angry and happy faces both evoked temporopolar responses. Our findings extend current models of facial emotion perception in humans by suggesting an intrinsic functional differentiation within the amygdala related to the extraction of value from facial expressions.

摘要

多条证据表明,人类杏仁核是面部情绪感知的核心调节者。人类杏仁核的主要亚区域已在解剖学上进行了界定,但这些亚区域对面部情绪感知的个体贡献尚不清楚。在此,我们将功能磁共振成像(fMRI)与细胞构筑学定义的最大概率图谱相结合,以研究14名受试者在观看愤怒和高兴的动态面部表情动画相对于中性面部表情时,杏仁核亚区域的反应特征。我们在左侧杏仁核的基底外侧和浅表(皮质)亚区域定位了与面部情绪相关的信号变化,观察到对高兴面孔的反应最为强烈。此外,我们证明了腹内侧前额叶皮质对高兴面孔有不同的神经反应,这与该脑区在正性效价加工中的假设作用一致。此外,愤怒和高兴的面孔都诱发了颞极反应。我们的研究结果通过表明杏仁核内与从面部表情中提取价值相关的内在功能分化,扩展了当前人类面部情绪感知模型。

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