The Rockefeller University, New York, New York 10065, USA.
J Neurosci. 2013 Jul 17;33(29):11768-73. doi: 10.1523/JNEUROSCI.5402-11.2013.
Face recognition mechanisms need to extract information from static and dynamic faces. It has been hypothesized that the analysis of dynamic face attributes is performed by different face areas than the analysis of static facial attributes. To date, there is no evidence for such a division of labor in macaque monkeys. We used fMRI to determine specializations of macaque face areas for motion. Face areas in the fundus of the superior temporal sulcus responded to general object motion; face areas outside of the superior temporal sulcus fundus responded more to facial motion than general object motion. Thus, the macaque face-processing system exhibits regional specialization for facial motion. Human face areas, processing the same stimuli, exhibited specializations for facial motion as well. Yet the spatial patterns of facial motion selectivity differed across species, suggesting that facial dynamics are analyzed differently in humans and macaques.
人脸识别机制需要从静态和动态人脸中提取信息。有人假设,动态人脸属性的分析是由不同于静态面部属性分析的不同面部区域完成的。迄今为止,在猕猴中没有证据表明存在这种分工。我们使用 fMRI 来确定猕猴面部区域对运动的专门化。上颞叶沟底部的面部区域对一般物体运动有反应;上颞叶沟底部以外的面部区域对面部运动的反应比对一般物体运动的反应更强烈。因此,猕猴的面部处理系统对面部运动具有区域专门化。处理相同刺激的人类面部区域也表现出对面部运动的专门化。然而,物种间面部运动选择性的空间模式存在差异,这表明人类和猕猴对面部动态的分析方式不同。