Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland.
Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland.
Neuroimage. 2024 Jul 15;295:120659. doi: 10.1016/j.neuroimage.2024.120659. Epub 2024 May 28.
Distinguishing the direction of another person's eye gaze is extremely important in everyday social interaction, as it provides critical information about people's attention and, therefore, intentions. The temporal dynamics of gaze processing have been investigated using event-related potentials (ERPs) recorded with electroencephalography (EEG). However, the moment at which our brain distinguishes the gaze direction (GD), irrespectively of other facial cues, remains unclear. To solve this question, the present study aimed to investigate the time course of gaze direction processing, using an ERP decoding approach, based on the combination of a support vector machine and error-correcting output codes. We recorded EEG in young healthy subjects, 32 of them performing GD detection and 34 conducting face orientation tasks. Both tasks presented 3D realistic faces with five different head and gaze orientations each: 30°, 15° to the left or right, and 0°. While the classical ERP analyses did not show clear GD effects, ERP decoding analyses revealed that discrimination of GD, irrespective of head orientation, started at 140 ms in the GD task and at 120 ms in the face orientation task. GD decoding accuracy was higher in the GD task than in the face orientation task and was the highest for the direct gaze in both tasks. These findings suggest that the decoding of brain patterns is modified by task relevance, which changes the latency and the accuracy of GD decoding.
辨别他人的眼球注视方向在日常社交互动中极为重要,因为它提供了有关人们注意力的关键信息,进而也反映了人们的意图。先前已有研究采用脑电图(EEG)记录的事件相关电位(ERP)来探讨眼球注视处理的时间动态。然而,我们的大脑在何种时刻能够独立于其他面部线索辨别出注视方向(GD),这一点仍不清楚。为了解决这个问题,本研究旨在采用基于支持向量机和纠错输出码相结合的 ERP 解码方法,探究眼球注视处理的时程。我们记录了 32 名年轻健康被试在执行 GD 检测任务和 34 名被试执行面部朝向任务时的脑电。这两个任务都呈现了具有五种不同头部和注视方向的三维真实面部:30°、15°偏左或偏右以及 0°。虽然经典的 ERP 分析并未显示出明确的 GD 效应,但 ERP 解码分析表明,无论头部朝向如何,GD 的辨别在 GD 任务中于 140ms 开始,在面部朝向任务中于 120ms 开始。在 GD 任务中,GD 解码的准确性高于面部朝向任务,且在两个任务中,对于直接注视的解码准确性最高。这些发现表明,大脑模式的解码受到任务相关性的影响,这会改变 GD 解码的潜伏期和准确性。