Mirabella Giovanni, Tullo Maria Giulia, Sberna Gabriele, Galati Gaspare
Department of Clinical and Experimental Sciences, University of Brescia, Viale Europa, 11, 25123, Brescia, Italy.
IRCCS Neuromed, Via Atinense 18, 86077, Pozzilli, IS, Italy.
Sci Rep. 2024 Aug 1;14(1):17859. doi: 10.1038/s41598-024-68803-y.
Recent research shows that emotional facial expressions impact behavioral responses only when their valence is relevant to the task. Under such conditions, threatening faces delay attentional disengagement, resulting in slower reaction times and increased omission errors compared to happy faces. To investigate the neural underpinnings of this phenomenon, we used functional magnetic resonance imaging to record the brain activity of 23 healthy participants while they completed two versions of the go/no-go task. In the emotion task (ET), participants responded to emotional expressions (fearful or happy faces) and refrained from responding to neutral faces. In the gender task (GT), the same images were displayed, but participants had to respond based on the posers' gender. Our results confirmed previous behavioral findings and revealed a network of brain regions (including the angular gyrus, the ventral precuneus, the left posterior cingulate cortex, the right anterior superior frontal gyrus, and two face-responsive regions) displaying distinct activation patterns for the same facial emotional expressions in the ET compared to the GT. We propose that this network integrates internal representations of task rules with sensory characteristics of facial expressions to evaluate emotional stimuli and exert top-down control, guiding goal-directed actions according to the context.
最近的研究表明,只有当情绪性面部表情的效价与任务相关时,才会影响行为反应。在这种情况下,与开心的面孔相比,带有威胁性的面孔会延迟注意力的脱离,导致反应时间变慢和遗漏错误增加。为了探究这一现象的神经基础,我们使用功能磁共振成像技术记录了23名健康参与者在完成两种版本的“是/否”任务时的大脑活动。在情绪任务(ET)中,参与者对情绪表情(恐惧或开心的面孔)做出反应,而不对中性面孔做出反应。在性别任务(GT)中,展示的是相同的图像,但参与者必须根据模特的性别做出反应。我们的结果证实了之前的行为学发现,并揭示了一个脑区网络(包括角回、腹侧楔前叶、左侧后扣带回皮质、右侧额上回前部以及两个面部反应区),与性别任务相比,该网络在情绪任务中对相同的面部情绪表情呈现出不同的激活模式。我们认为,这个网络将任务规则的内部表征与面部表情的感觉特征整合起来,以评估情绪刺激并实施自上而下的控制,根据情境指导目标导向的行动。