CNRS, CRAN, Université de Lorraine , Nancy, France.
Institute of Research in Psychological Science, Institute of Neuroscience, Université de Louvain , Belgium.
Cogn Neurosci. 2020 Jul;11(3):143-156. doi: 10.1080/17588928.2020.1712344. Epub 2020 Jan 21.
Highly variable natural images of the same familiar face celebrity interleaved periodically in a rapid (6 images/second) train of unfamiliar faces automatically elicit an objective electroencephalographic (EEG) response over the occipito-temporal cortex of neurotypical human adults within a few minutes. However, the extent to which this frequency-tagged response goes beyond the association of common physical features of the periodically repeated face identity remains unknown. Here we compare participants who know or do not know the very same periodically repeated face celebrity and show that long-term familiarity accounts for about 80% of the neural face identity recognition response. This familiarity advantage disappears with upside-down images. Variability in response amplitude between face identities is preserved for inverted faces and in unfamiliar participants, suggesting a contribution of within-person physical face variability and distinctiveness to about 20% of the face identity response. These observations provide the strongest difference to date in human brain response between the same famous face identities perceived as familiar or unfamiliar in an implicit task. The frequency-tagged neural response largely reflects the strengthening effect of long-term memory in the human occipito-temporal cortex, and may serve to index automatic familiar face identity recognition in individual observers.
高度变化的同一熟悉面孔名人的自然图像,在快速(每秒 6 张图像)的陌生面孔序列中周期性地穿插出现,会在几分钟内自动引发神经典型成年人的枕颞皮质的客观脑电图(EEG)反应。然而,这种频率标记的反应在多大程度上超越了周期性重复面孔身份的常见物理特征的关联仍然未知。在这里,我们比较了知道或不知道同一周期性重复的名人面孔的参与者,并表明长期熟悉度占神经面孔身份识别反应的 80%左右。这种熟悉度优势在面孔倒置时消失。在倒置面孔和不熟悉的参与者中,面孔身份之间的反应幅度变化得以保留,这表明个体内物理面孔变化性和独特性对约 20%的面孔身份反应有贡献。这些观察结果提供了迄今为止在人类大脑反应中最显著的差异,即在隐性任务中,同一著名面孔身份被感知为熟悉或不熟悉。频率标记的神经反应在很大程度上反映了长期记忆在人类枕颞皮质中的强化效应,并且可能有助于在个体观察者中自动识别熟悉的面孔身份。