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功能磁共振成像适应对面部表情、身份和视角变化的释放位点。

Loci of the release from fMRI adaptation for changes in facial expression, identity, and viewpoint.

作者信息

Xu Xiaokun, Biederman Irving

机构信息

Department of Psychology, University of Southern California, Los Angeles, CA 90098-2520, USA.

出版信息

J Vis. 2010 Dec 31;10(14):36. doi: 10.1167/10.14.36.

Abstract

Face recognition involves collaboration of a distributed network of neural correlates. However, how different attributes of faces are represented has remained unclear. We used functional magnetic resonance imaging-adaptation (fMRIa) to investigate the representation of viewpoint, expression, and identity of faces in the fusiform face area (FFA) and the occipital face area (OFA). In an event-related experiment, subjects viewed sequences of two faces and judged whether they depicted the same person. The images could vary in viewpoint, expression and/or identity. Critically, the physical similarity between view-changed and between expression-changed faces of the same person were matched by the Gabor-jet metric, a measure that predicts almost perfectly the effects of image similarity on face discrimination performance. In FFA, changes of identity produced the largest release from adaptation followed by changes of expression; but the release caused by changes of viewpoint was smaller and not reliable. OFA was sensitive only to changes in identity, even when image changes produced by identity variations were matched to those of expression and orientation. These results suggest that FFA is involved in the perception of both identity and expression of faces, a result contrary to the hypothesis of independent processing of changeable and invariant attributes of faces in the face-processing network.

摘要

人脸识别涉及神经关联分布式网络的协作。然而,面部不同属性是如何被表征的仍不清楚。我们使用功能磁共振成像适应技术(fMRIa)来研究梭状回面孔区(FFA)和枕叶面孔区(OFA)中面孔的视角、表情和身份的表征。在一项事件相关实验中,受试者观看两张面孔的序列,并判断它们是否描绘的是同一个人。图像在视角、表情和/或身份上可能会有所不同。关键的是,同一人的视角变化面孔之间和表情变化面孔之间的物理相似性通过Gabor-jet度量进行匹配,该度量几乎能完美预测图像相似性对面部辨别性能的影响。在FFA中,身份变化产生的适应后释放最大,其次是表情变化;但视角变化引起的释放较小且不可靠。OFA仅对身份变化敏感,即使身份变化产生的图像变化与表情和方向变化相匹配。这些结果表明,FFA参与了对面孔身份和表情的感知,这一结果与面孔处理网络中可变和不变属性独立处理的假设相反。

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