Naumann Sandra, Bayer Mareike, Dziobek Isabel
Berlin School of Mind and Brain, Humboldt-Universität Zu Berlin, Berlin, Germany.
Department of Psychology, Institute of Life Sciences, Humboldt-Universität Zu Berlin, Berlin, Germany.
Psychophysiology. 2025 Jan;62(1):e14725. doi: 10.1111/psyp.14725. Epub 2024 Nov 18.
Across childhood, emotion perception from facial expressions has traditionally been studied with event-related potentials (ERP). Here, we explored the novel fast periodic visual stimulation (FPVS) electroencephalography (EEG) approach to provide information about how brief changes in facial expressions are processed implicitly in young children's brains. Utilizing two FPVS tasks for the first time in preschoolers, we examined brain responses to (1) the discrimination of brief changes in facial expressions at maximum intensity and (2) thresholds for discrimination of gradual increasing facial expression intensities. Within a stream of neutral faces at 6 Hz, happy and angry faces were embedded with a frequency of 1.2 Hz. Additionally, children performed an emotion recognition task (ERT). Data were collected in the context of a training study for socio-emotional competencies with typically developing children (N = 74; 5.1[0.9] years; 34 females). FPVS data were collected post-training, where training was included as a controlling factor. Across FPVS tasks, we detected robust expression change responses, particularly with larger responses for happy versus angry faces in the maximum intensity task. ERT results paralleled neural findings with faster reaction times and higher accuracy rates for happy versus angry faces. For gradual increases in emotional intensity, we found linear increases in responses across emotions. The majority of the sample showed a significant expression change at 60% intensity. With its implicit nature, short duration, and robustness of individual responses, our results highlight the potential of FPVS in comparison to classical ERP methods to study neural mechanisms of emotion perception in preschool samples.
在整个童年时期,传统上一直通过事件相关电位(ERP)来研究从面部表情中感知情绪。在这里,我们探索了新颖的快速周期性视觉刺激(FPVS)脑电图(EEG)方法,以提供有关幼儿大脑如何隐性处理面部表情短暂变化的信息。我们首次在学龄前儿童中使用两项FPVS任务,研究大脑对以下方面的反应:(1)在最大强度下面部表情短暂变化的辨别;(2)逐渐增加的面部表情强度的辨别阈值。在以6赫兹呈现的中性面孔流中,快乐和愤怒的面孔以1.2赫兹的频率嵌入。此外,儿童还进行了情绪识别任务(ERT)。数据是在一项针对具有典型发育儿童(N = 74;5.1[0.9]岁;34名女性)的社会情感能力训练研究中收集的。FPVS数据在训练后收集,训练作为一个控制因素纳入其中。在各项FPVS任务中,我们检测到了强烈的表情变化反应,尤其是在最大强度任务中,对快乐面孔的反应比对愤怒面孔的反应更大。ERT结果与神经学发现一致,对快乐面孔的反应时间更快,准确率更高。对于情绪强度的逐渐增加,我们发现不同情绪的反应呈线性增加。大多数样本在60%强度时表现出显著的表情变化。鉴于其隐性性质、短持续时间和个体反应的稳健性,我们的结果突出了与经典ERP方法相比,FPVS在研究学龄前样本情绪感知神经机制方面的潜力。