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A robust neural familiar face recognition response in a dynamic (periodic) stream of unfamiliar faces
Cortex ( IF 3.2 ) Pub Date : 2020-09-08 , DOI: 10.1016/j.cortex.2020.08.016
Xiaoqian Yan 1 , Bruno Rossion 2
Affiliation  

We present an objective and sensitive approach to measure human familiar face recognition (FFR) across variable facial identities. Twenty-six participants viewed sequences of natural images of different unfamiliar faces presented at a fixed rate of 6 Hz (i.e., 6 faces by second), with variable natural images of different famous face identities appearing periodically every 7th image (i.e., .86 Hz). Participants were unaware of the goal of the study and performed an orthogonal task. Following only seven minutes of visual stimulation, the FFR response was objectively identified in the EEG spectrum at .86 Hz and its harmonics (1.71 Hz, etc.) over bilateral occipito-temporal regions, being significant in every individual participant. When the exact same images appeared upside-down, the FFR response amplitude reduced by more than 80%, and was uncorrelated across individuals to the upright face response. The FFR for upright faces emerges between 160 and 200 msec following the famous face onset over bilateral occipito-temporal region and lasts until about 560 msec. The stimulation paradigm offers an unprecedented way to characterize rapid and automatic human face familiarity recognition across individuals, during development and clinical conditions, also providing original information about the time-course and neural basis of human FFR in temporally constrained stimulation conditions with natural images.



中文翻译:

动态(周期性)陌生面孔中强大的神经熟悉面孔识别响应

我们提出了一种客观而敏感的方法来测量各种面部身份之间的人类熟悉的面部识别(FFR)。26位参与者查看了以固定频率6 Hz(即每秒6张脸)呈现的不同陌生面孔的自然图像序列,每7幅图像(即.86 Hz)周期性地出现了不同著名面孔身份的可变自然图像。 )。参与者不了解研究目标,并执行了正交任务。仅仅经过7分钟的视觉刺激,就在脑电图谱中以0.86 Hz的频率及其双侧枕骨颞区的谐波(1.71 Hz等)客观地确定了FFR响应,这在每个参与者中都非常重要。当完全相同的图像上下颠倒时,FFR响应幅度降低了80%以上,并且在个体之间与正直的面部反应无关。直立面部的FFR在双边枕颞区域开始出现著名面部之后的160至200毫秒之间出现,持续到560毫秒左右。刺激范例提供了一种前所未有的方式,可以在开发和临床条件下表征各个人之间的快速和自动人脸熟悉度识别,还可以提供在自然条件下受时间限制的刺激条件下人类FFR的时程和神经基础的原始信息。

更新日期:2020-09-29
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