Kaur Gursimran, Anand Rakshita, Chakrabarty Mrinmoy
Dept. of Social Sciences and Humanities, Indraprastha Institute of Information Technology Delhi, New Delhi 110020, India.
Dept. of Human-Centered Design, Indraprastha Institute of Information Technology Delhi, New Delhi 110020, India.
Neuroscience. 2023 Jan 15;509:145-156. doi: 10.1016/j.neuroscience.2022.11.034. Epub 2022 Dec 7.
Visuospatial attention allows humans to selectively gate and prioritize visual (including salient, emotional) information for efficiently navigating natural visual environments. As emotions have been known to influence attentional performance, we asked if emotions also modulate the spatial distribution of visual attention and whether any such effect was further associated with individual differences in anxiety. Participants (n = 28) discriminated the orientation of target Gabor patches co-presented with distractors, speedily and accurately. The key manipulation was randomly presenting a task-irrelevant face emotion prime briefly (50 ms), conveying Neutral/Disgust/Scrambled (Null) emotion signal 150 ms preceding the target patches. We calculated attention gradient (change in negative inverse attentional efficiency with unit change in distance from the source of emotion signal) as a metric to answer our questions. Specifically, the Disgust signal modulated the direction of attention gradients differentially in individuals with varying degrees of trait - anxiety, such that the gradients correlated negatively with individual trait-anxiety scores. This implies spatial shifts in Disgust-signalled visual attention with varying trait - anxiety levels. Neutral yielded attention gradients comparable to Scrambled, implying no specific effect of this signal and there was no association with anxiety levels in both. No correlation was observed between state - anxiety and the emotion-cued attention gradients. In sum, the results suggest that individual trait - anxiety levels influence the effect of negative and physiologically arousing emotion signals (e.g., Disgust) on the spatial distribution of visual attention. The findings could be of relevance for understanding biases in visual behaviour underlying affective states and disorders.
视觉空间注意力使人类能够选择性地筛选并优先处理视觉信息(包括显著的、情绪化的信息),从而在自然视觉环境中高效导航。由于已知情绪会影响注意力表现,我们探究了情绪是否也会调节视觉注意力的空间分布,以及这种效应是否还与焦虑的个体差异有关。参与者(n = 28)快速准确地辨别与干扰物同时呈现的目标Gabor斑块的方向。关键操作是在目标斑块出现前150毫秒短暂(50毫秒)随机呈现一个与任务无关的面部情绪启动刺激,传达中性/厌恶/混乱(无)情绪信号。我们计算注意力梯度(随着与情绪信号源距离的单位变化,负倒数注意力效率的变化)作为回答我们问题的指标。具体而言,厌恶信号在不同程度特质焦虑的个体中差异调节注意力梯度的方向,使得梯度与个体特质焦虑得分呈负相关。这意味着在不同特质焦虑水平下,厌恶信号引发的视觉注意力会发生空间转移。中性刺激产生的注意力梯度与混乱刺激相当,这意味着该信号没有特定效应,且两者均与焦虑水平无关。状态焦虑与情绪提示的注意力梯度之间未观察到相关性。总之,结果表明个体特质焦虑水平会影响负面且具有生理唤醒作用的情绪信号(如厌恶)对视觉注意力空间分布的影响。这些发现可能与理解情感状态和障碍背后视觉行为的偏差有关。