High test-retest reliability of a neural index of rapid automatic discrimination of unfamiliar individual faces

High test-retest reliability of a neural index of rapid automatic discrimination of unfamiliar individual faces
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DOI:
10.1080/13506285.2019.1616639
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发表时间:
2019-06-18
期刊:
影响因子:
2
通讯作者:
Rossion, Bruno
Rossion, Bruno
中科院分区:
心理学4区
文献类型:
--
作者:
Dzhelyova, Milena;Jacques, Corentin;Rossion, Bruno

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人脸识别的一个重要方面是区分陌生人的能力。由于许多一般的过程有助于明确的行为表现在个人面临的歧视任务,隔离的措施,不熟悉的个人面临的歧视能力在人类是具有挑战性的。近年来,快速周期性视觉刺激方法(FPVS)提供了客观的(频率锁定)的个人面部歧视,是高度敏感的个人水平在几分钟的测试内的隐式电生理指标。在这里,我们评估了这种反应的重测信度在头皮脑电图(EEG)记录会议间隔超过两个月,在相同的30个人。我们没有发现重新测试的差异,总体上跨会话的振幅和空间分布的脑电图个人面孔歧视的反应。此外,只有4个刺激序列对应于4分钟的记录,每个会话,个人的脸辨别反应是高度可靠的幅度,空间分布和形状。与以前的观察结果一起,这些结果加强了FPVS-EEG作为人类个体面部识别特定困难的客观和快速标志的诊断价值。
An important aspect of human individual face recognition is the ability to discriminate unfamiliar individual. Since many general processes contribute to explicit behavioural performance in individual face discrimination tasks, isolating a measure of unfamiliar individual face discrimination ability in humans is challenging. In recent years, a fast periodic visual stimulation approach (FPVS) has provided objective (frequency-locked) implicit electrophysiological indices of individual face discrimination that are highly sensitive at the individual level within a few minutes of testing. Here we evaluate the test-retest reliability of this response across scalp electroencephalographic (EEG) recording sessions separated by more than two months, in the same 30 individuals. We found no test-retest difference overall across sessions in terms of amplitude and spatial distribution of the EEG individual face discrimination response. Moreover, with only 4 stimulation sequences corresponding to 4 min of recordings per session, the individual face discrimination response was highly reliable in terms of amplitude, spatial distribution, and shape. Together with previous observations, these results strengthen the diagnostic value of FPVS-EEG as an objective and rapid flag for specific difficulties at individual face recognition in the human population.