Enhanced neural sensitivity to brief changes of happy over angry facial expressions in preschoolers: A fast periodic visual stimulation study.

IF 2.9 2区 心理学 Q2 NEUROSCIENCES
Psychophysiology Pub Date : 2025-01-01 Epub Date: 2024-11-18 DOI:10.1111/psyp.14725
Sandra Naumann, Mareike Bayer, Isabel Dziobek
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引用次数: 0

Abstract

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.

学龄前儿童神经系统对喜怒表情短暂变化的敏感性增强:快速周期性视觉刺激研究
在整个童年时期,人们一直使用事件相关电位(ERP)来研究面部表情的情绪感知。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对面部表情的短暂变化进行内隐处理的信息。我们首次在学龄前儿童中使用了两种 FPVS 任务,研究了大脑对以下两方面的反应:(1) 以最大强度分辨面部表情的短暂变化;(2) 分辨逐渐增强的面部表情强度的阈值。在频率为 6 Hz 的中性面孔流中,嵌入了频率为 1.2 Hz 的快乐和愤怒面孔。此外,儿童还进行了一项情绪识别任务(ERT)。数据是在一项社会情感能力培训研究中收集的,研究对象为发育正常的儿童(74 人;5.1[0.9] 岁;34 名女性)。FPVS 数据是在培训后收集的,其中培训作为一个控制因素。在所有 FPVS 任务中,我们都检测到了强烈的表情变化反应,尤其是在最大强度任务中,开心脸相对于愤怒脸的反应更大。ERT 的结果与神经研究结果一致,即高兴面孔与愤怒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,我们发现不同情绪下的反应呈线性增加。大多数样本在情绪强度达到 60% 时都出现了明显的表情变化。由于 FPVS 具有内隐性质、持续时间短以及个体反应的稳健性,与传统的 ERP 方法相比,我们的研究结果凸显了 FPVS 在研究学龄前样本情绪感知神经机制方面的潜力。
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来源期刊
Psychophysiology
Psychophysiology 医学-神经科学
CiteScore
6.80
自引率
8.10%
发文量
225
审稿时长
2 months
期刊介绍: Founded in 1964, Psychophysiology is the most established journal in the world specifically dedicated to the dissemination of psychophysiological science. The journal continues to play a key role in advancing human neuroscience in its many forms and methodologies (including central and peripheral measures), covering research on the interrelationships between the physiological and psychological aspects of brain and behavior. Typically, studies published in Psychophysiology include psychological independent variables and noninvasive physiological dependent variables (hemodynamic, optical, and electromagnetic brain imaging and/or peripheral measures such as respiratory sinus arrhythmia, electromyography, pupillography, and many others). The majority of studies published in the journal involve human participants, but work using animal models of such phenomena is occasionally published. Psychophysiology welcomes submissions on new theoretical, empirical, and methodological advances in: cognitive, affective, clinical and social neuroscience, psychopathology and psychiatry, health science and behavioral medicine, and biomedical engineering. The journal publishes theoretical papers, evaluative reviews of literature, empirical papers, and methodological papers, with submissions welcome from scientists in any fields mentioned above.
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