Suppr超能文献

一种用于快速人类个体面部识别的客观、灵敏且具有生态效度的神经测量方法。

An objective, sensitive and ecologically valid neural measure of rapid human individual face recognition.

作者信息

Zimmermann Friederike G S, Yan Xiaoqian, Rossion Bruno

机构信息

Institute of Research in Psychological Science, Institute of Neuroscience, Université de Louvain, Louvain-la-Neuve, Belgium.

BG Klinikum Hamburg, Bergedorfer Straße 10, 21033 Hamburg, Germany.

出版信息

R Soc Open Sci. 2019 Jun 5;6(6):181904. doi: 10.1098/rsos.181904. eCollection 2019 Jun.

Abstract

Humans may be the only species able to rapidly and automatically recognize a familiar face identity in a crowd of unfamiliar faces, an important social skill. Here, by combining electroencephalography (EEG) and fast periodic visual stimulation (FPVS), we introduce an ecologically valid, objective and sensitive neural measure of this human individual face recognition function. Natural images of various unfamiliar faces are presented at a fast rate of 6 Hz, allowing one fixation per face, with variable natural images of a highly familiar face identity, a celebrity, appearing every seven images (0.86 Hz). Following a few minutes of stimulation, a high signal-to-noise ratio neural response reflecting the generalized discrimination of the familiar face identity from unfamiliar faces is observed over the occipito-temporal cortex at 0.86 Hz and harmonics. When face images are presented upside-down, the individual familiar face recognition response is negligible, being reduced by a factor of 5 over occipito-temporal regions. Differences in the magnitude of the individual face recognition response across different familiar face identities suggest that factors such as exposure, within-person variability and distinctiveness mediate this response. Our findings of a biological marker for fast and automatic recognition of individual familiar faces with ecological stimuli open an avenue for understanding this function, its development and neural basis in neurotypical individual brains along with its pathology. This should also have implications for the use of facial recognition measures in forensic science.

摘要

人类可能是唯一能够在一群陌生面孔中迅速且自动识别出熟悉面孔身份的物种,这是一项重要的社交技能。在此,我们通过结合脑电图(EEG)和快速周期性视觉刺激(FPVS),引入了一种针对这种人类个体面部识别功能的具有生态学效度、客观且灵敏的神经测量方法。以6赫兹的快速频率呈现各种陌生面孔的自然图像,每张面孔允许一次注视,每七张图像(0.86赫兹)会出现一张高度熟悉面孔身份(一位名人)的不同自然图像。经过几分钟的刺激后,在枕颞叶皮层观察到一个高信噪比的神经反应,该反应在0.86赫兹及其谐波频率下反映了熟悉面孔身份与陌生面孔之间的广义辨别。当面部图像倒置呈现时,个体对面部的熟悉识别反应可忽略不计,在枕颞叶区域降低了5倍。不同熟悉面孔身份的个体面部识别反应幅度差异表明,诸如曝光度、个体内部变异性和独特性等因素介导了这种反应。我们关于利用生态刺激快速自动识别个体熟悉面孔的生物学标记的研究结果,为理解这一功能、其在神经典型个体大脑中的发展和神经基础以及相关病理学开辟了一条途径。这对于法医学中面部识别措施的应用也应具有启示意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ea/6599768/86caeb21f75c/rsos181904-g1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验