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事件相关电位捕捉到的面部加工中的个体差异。

Individual differences in face processing captured by ERPs.

作者信息

Turano Maria Teresa, Marzi Tessa, Viggiano Maria Pia

机构信息

Psychology Section, Department of Neuroscience, Psychology, Drug Research & Child's Health, University of Florence, Italy.

Psychology Section, Department of Neuroscience, Psychology, Drug Research & Child's Health, University of Florence, Italy.

出版信息

Int J Psychophysiol. 2016 Mar;101:1-8. doi: 10.1016/j.ijpsycho.2015.12.009. Epub 2015 Dec 30.

DOI:10.1016/j.ijpsycho.2015.12.009
PMID:26747730
Abstract

A rapid neural adaptation procedure and Event Related Potentials (ERPs) were employed to study individual differences in Good and Bad recognizers in face perception. The major goal was to characterize the sensitivity of the P100 and the N170 to the identity repetition effect as a function of inter-individual perceptual abilities. For these purposes an integrated methodological approach was used in which a self-report, a standardized test and behavioral performances were combined with ERPs measures. Specifically, two groups of face recognizers (Good and Bad recognizers) were selected by means of a self-report questionnaire on face recognition abilities (The Italian Face Abilities Questionnaire) and the scoring at the Cambridge Face Memory Test. The P100 showed an early neural tuning for faces in Good recognizers. The N170 triggered by the adaptor showed face specificity compared to cars but, importantly, only Good recognizers showed a decreased amplitude of N170 for test faces of the same identity compared to test faces of different identity while this was not the case for Bad recognizers. These results show that ERPs are a suitable and sensitive tool to tap individual differences in face recognition. In conclusion, our results show the importance of considering inter-individual different perceptual abilities in face processing research.

摘要

采用快速神经适应程序和事件相关电位(ERP)来研究面部感知中优秀和较差识别者的个体差异。主要目标是将P100和N170对身份重复效应的敏感性表征为个体间感知能力的函数。为此,采用了一种综合的方法,将自我报告、标准化测试和行为表现与ERP测量相结合。具体而言,通过一份关于面部识别能力的自我报告问卷(意大利面部能力问卷)和剑桥面部记忆测试的得分,挑选出两组面部识别者(优秀识别者和较差识别者)。P100在优秀识别者中显示出对面部的早期神经调整。与汽车相比,由适应刺激引发的N170表现出面部特异性,但重要的是,与不同身份的测试面孔相比,只有优秀识别者对于相同身份的测试面孔显示出N170波幅降低,而较差识别者则不然。这些结果表明,ERP是挖掘面部识别个体差异的合适且敏感的工具。总之,我们的结果表明在面部加工研究中考虑个体间不同感知能力的重要性。

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