Ramos-Loyo Julieta, Espinosa-Denenea Sara E, Sanz-Martin Araceli, Llamas-Alonso Luis A
Institute of Neuroscience, University of Guadalajara, Guadalajara, Mexico.
Faculty of Administrative and Social Sciences, Autonomous University of Baja California, Ensenada, Mexico.
Dev Neuropsychol. 2024 Nov;49(8):295-317. doi: 10.1080/87565641.2024.2403986. Epub 2024 Sep 23.
The ability to recognize emotions in others is crucial for social interaction and develops during childhood. We studied the effects of age on emotional facial recognition in schoolchildren using ERP components. Children aged 6, 8, and 10 completed identity, sex, and emotion recognition (happiness, anger, sadness) tasks. The oldest group had the highest accuracy and fastest reaction times. Only the LPP component showed age-related differences, with lower amplitudes in older children. LPP showed higher amplitude during emotion recognition, which may be associated with motivational evaluation. ERP accounted for the temporal dynamics of facial processing, which involve cognitive and emotional processes.
识别他人情绪的能力对社交互动至关重要，且在儿童时期发展。我们使用ERP成分研究了年龄对学童情绪面部识别的影响。6岁、8岁和10岁的儿童完成了身份、性别和情绪识别（快乐、愤怒、悲伤）任务。年龄最大的组准确率最高，反应时间最快。只有LPP成分显示出与年龄相关的差异，年龄较大的儿童中其波幅较低。在情绪识别过程中LPP显示出较高的波幅，这可能与动机评估有关。ERP解释了面部处理的时间动态，这涉及认知和情绪过程。
