Minami T, Nakajima K, Changvisommid L, Nakauchi S
Electronics-Inspired Interdisciplinary Research Institute (EIIRIS), Toyohashi University of Technology, 1-1 Hibarigaoka, Tempaku, Toyohashi, Aichi 441-8580, Japan.
Department of Computer Science and Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka, Tempaku, Toyohashi, Aichi 441-8580, Japan.
Neuroscience. 2015 Dec 17;311:341-8. doi: 10.1016/j.neuroscience.2015.10.019. Epub 2015 Oct 23.
Faces are important for social interaction because much can be perceived from facial details, including a person's race, age, and mood. Recent studies have shown that both configural (e.g. face shape and inversion) and surface information (e.g. surface color and reflectance properties) are important for face perception. Therefore, the present study examined the effects of facial color and inverted face properties on event-related potential (ERP) responses, particularly the N170 component. Stimuli consisted of natural and bluish-colored faces. Faces were presented in both upright and upside down orientations. An ANOVA was used to analyze N170 amplitudes and verify the effects of the main independent variables. Analysis of N170 amplitude revealed the significant interactions between stimulus orientation and color. Subsequent analysis indicated that N170 was larger for bluish-colored faces than natural-colored faces, and N170 to natural-colored faces was larger in response to inverted stimulus as compared to upright stimulus. Additionally, a multivariate pattern analysis (MVPA) investigated face-processing dynamics without any prior assumptions. Results distinguished, above chance, both facial color and orientation from single-trial electroencephalogram (EEG) signals. Decoding performance for color classification of inverted faces was significantly diminished as compared to an upright orientation. This suggests that processing orientation is predominant over facial color. Taken together, the present findings elucidate the temporal and spatial distribution of orientation and color processing during face processing.
面部对于社交互动很重要,因为可以从面部细节中感知到很多信息,包括一个人的种族、年龄和情绪。最近的研究表明,构型信息(如面部形状和倒置)和表面信息(如表面颜色和反射特性)对于面部感知都很重要。因此,本研究考察了面部颜色和倒置面部属性对事件相关电位(ERP)反应的影响,特别是N170成分。刺激物包括自然肤色和蓝色肤色的面部。面部以正立和倒置两种方向呈现。采用方差分析来分析N170波幅,并验证主要自变量的影响。对N170波幅的分析揭示了刺激方向和颜色之间的显著交互作用。后续分析表明,蓝色肤色面部的N170波幅大于自然肤色面部,并且与正立刺激相比,自然肤色面部在倒置刺激下的N170波幅更大。此外,多变量模式分析(MVPA)在没有任何先验假设的情况下研究了面部处理动态。结果从单次试验脑电图(EEG)信号中显著区分出面部颜色和方向,高于随机水平。与正立方向相比,倒置面部颜色分类的解码性能显著降低。这表明处理方向比面部颜色更具主导性。综上所述,本研究结果阐明了面部处理过程中方向和颜色处理的时间和空间分布。