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Distinct neural processes for the perception of familiar versus unfamiliar faces along the visual hierarchy revealed by EEG

机译:独特的神经过程可沿着EEG揭示的视觉层次感知熟悉的面孔与不熟悉的面孔

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摘要

Humans recognize faces with ease, despite the complexity of the task and of the visual system which underlies it. Different spatial regions, including both the core and extended face processing networks, and distinct temporal stages of processing have been implicated in face recognition, but there is ongoing controversy regarding the extent to which the mechanisms for recognizing a familiar face differ from those for an unfamiliar face. Here, we used electroencephalogram (EEG) and flicker SSVEP, a high signal-to-noise approach, and searchlight decoding methods to elucidate the mechanisms mediating the processing of familiar and unfamiliar faces in the time domain. Familiar and unfamiliar faces were presented periodically at 15 Hz, 6 Hz and 3.75 Hz either upright or inverted in separate blocks, with the rationale that faster frequencies require shorter processing times per image and tap into fundamentally different levels of visual processing. The 15 Hz trials, likely to reflect early visual processing, exhibited enhanced neural responses for familiar over unfamiliar face trials, but only when the faces were upright. In contrast, decoding methods revealed similar classification accuracies for upright and inverted faces for both familiar and unfamiliar faces. For the 6 Hz frequency, familiar faces had lower amplitude responses than unfamiliar faces, and decoding familiarity was more accurate for upright compared with inverted faces. Finally, the 3.75 Hz frequency revealed no main effects of familiarity, but decoding showed significant correlations with behavioral ratings of face familiarity, suggesting that activity evoked by this slow presentation frequency reflected higher-level, cognitive aspects of familiarity processing. This three-way dissociation between frequencies reveals that fundamentally different stages of the visual hierarchy are modulated by face familiarity. The combination of experimental and analytical approaches used here represent a novel method for elucidating spatio-temporal characteristics within the visual system.
机译:尽管任务及其基础的视觉系统很复杂,但人类仍能轻松识别面孔。人脸识别涉及到不同的空间区域,包括核心和扩展的人脸处理网络,以及不同的处理时间阶段,但是关于识别熟悉的面孔的机制与不熟悉的面孔的机制在多大程度上存在争议面对。在这里,我们使用脑电图(EEG)和闪烁SSVEP(高信噪比方法)和探照灯解码方法来阐明在时域中介导处理熟悉和不熟悉的面孔的机制。熟悉和陌生的面孔会分别以直立或倒立的15 Hz,6 Hz和3.75 Hz的频率呈现在单独的块中,其基本原理是更快的频率要求每个图像的处理时间更短,并且可以利用根本上不同的视觉处理水平。 15 Hz试验可能反映早期的视觉处理,对熟悉的面部试验比不熟悉的面部试验表现出增强的神经反应,但仅限于面部直立时。相比之下,解码方法揭示了针对熟悉和不熟悉的面孔的直立和倒立面孔的相似分类精度。对于6 Hz频率,熟悉的面孔比不熟悉的面孔具有更低的幅度响应,与直立的面孔相​​比,直立的解码面孔更准确。最后,3.75 Hz频率没有显示出熟悉度的主要影响,但是解码显示出与面部熟悉度的行为评级具有显着相关性,这表明由这种缓慢的提示频率引起的活动反映了熟悉度处理的更高层次的认知方面。频率之间的这种三向分离揭示出,视觉层次结构的根本不同阶段是通过面部熟悉度来调节的。这里使用的实验和分析方法的结合代表了一种阐明视觉系统内时空特征的新颖方法。

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