Rossion Bruno
Psychological Sciences Research Institute (IPSY) and Institute of Neuroscience (IoNS), University of Louvain (UCL), Place du Cardinal Mercier, 10, 1348, Louvain-la-Neuve, Belgium,
Exp Brain Res. 2014 Jun;232(6):1599-621. doi: 10.1007/s00221-014-3934-9. Epub 2014 Apr 12.
This paper reviews a fast periodic visual stimulation (FPVS) approach developed recently to make significant progress in understanding visual discrimination of individual faces. Displaying pictures of faces at a periodic frequency rate leads to a high signal-to-noise ratio (SNR) response in the human electroencephalogram, at the exact frequency of stimulation, a so-called steady-state visual evoked potential (SSVEP, Regan in Electroencephalogr Clin Neurophysiol 20:238-248, 1966). For fast periodic frequency rates, i.e., between 3 and 9 Hz, this response is reduced if the exact same face identity is repeated compared to the presentation of different face identities, the largest difference being observed over the right occipito-temporal cortex. A 6-Hz stimulation rate (cycle duration of ~170 ms) provides the largest difference between different and repeated faces, as also evidenced in face-selective areas of the ventral occipito-temporal cortex in functional magnetic resonance imaging. This high-level discrimination response is reduced following inversion and contrast-reversal of the faces and can be isolated without subtraction thanks to a fast periodic oddball paradigm. Overall, FPVS provides a response that is objective (i.e., at an experimentally defined frequency), implicit, has a high SNR and is directly quantifiable in a short amount of time. Although the approach is particularly appealing for understanding face perception, it can be generalized to study visual discrimination of complex visual patterns such as objects and visual scenes. The advantages of the approach make it also particularly well-suited to investigate these functions in populations who cannot provide overt behavioral responses and can only be tested for short durations, such as infants, young children and clinical populations.
本文回顾了最近开发的一种快速周期性视觉刺激(FPVS)方法,该方法在理解个体面孔的视觉辨别方面取得了重大进展。以周期性频率速率显示面孔图片会在人类脑电图中产生高信噪比(SNR)响应,其频率与刺激的精确频率一致,即所谓的稳态视觉诱发电位(SSVEP,Regan于1966年发表在《脑电图与临床神经生理学》20:238 - 248)。对于快速周期性频率速率,即3至9赫兹之间,如果重复呈现完全相同的面孔身份,与呈现不同面孔身份相比,这种响应会降低,在右侧枕颞叶皮质观察到的差异最大。6赫兹的刺激速率(周期持续时间约为170毫秒)在不同面孔和重复面孔之间产生的差异最大,这在功能磁共振成像中腹侧枕颞叶皮质的面孔选择区域也得到了证实。这种高级辨别响应在面孔倒置和对比度反转后会降低,并且由于快速周期性奇偶数范式,可以在不进行减法运算的情况下分离出来。总体而言,FPVS提供的响应是客观的(即在实验定义的频率下)、隐含的、具有高信噪比并且可以在短时间内直接量化。尽管该方法在理解面孔感知方面特别有吸引力,但它可以推广到研究复杂视觉模式(如物体和视觉场景)的视觉辨别。该方法的优点使其也特别适合于研究那些无法提供明显行为反应且只能进行短时间测试的人群(如婴儿、幼儿和临床人群)的这些功能。