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Quantifying Intermodal Distraction by Emotion During Math Performance: An Electrophysiological Approach

机译:在数学表现过程中通过情绪量化联运干扰:一种电生理方法

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摘要

Emotionally engaging stimuli are powerful competitors for limited attention capacity. In the cognitive neuroscience laboratory, the presence of task-irrelevant emotionally arousing visual distractors prompts decreased performance and attenuated brain responses measured in concurrent visual tasks. The extent to which distraction effects occur across different sensory modalities is not yet established, however. Here, we examined the extent and time course of competition between a naturalistic distractor sound and a visual task stimulus, using dense-array electroencephalography (EEG) recordings from 20 college students. Steady-state visual evoked potentials (ssVEPs) were quantified from EEG, elicited by periodically flickering vignettes displaying basic arithmetic problems – the participants’ primary task. Concurrently, low-arousing and high-arousing sounds were presented, as well as auditory pink noise, used as a control. Capitalizing on the temporal dynamics of the ssVEP signal allowed us to study intermodal interference of the sounds with the processing of the visual math problems. We observed that high-arousing sounds were associated with diminished visuocortical responses and poor performance, compared to low-arousing sounds and pink noise, suggesting that emotional distraction acts across modalities. We discuss the role of sensory cortices in emotional distraction along with implications for translational research in educational neuroscience.
机译:情绪激动的刺激是有限的注意力能力的强大竞争者。在认知神经科学实验室中,与任务无关的情绪唤醒视觉干扰物的存在会导致性能下降和同时进行的视觉任务中测得的大脑反应减弱。然而,尚未确定在不同的感觉模态中分散注意力的程度。在这里,我们使用来自20位大学生的密集阵列脑电图(EEG)记录,检查了自然干扰声和视觉任务刺激之间竞争的程度和时间过程。稳态视觉诱发电位(ssVEPs)由脑电图量化,由周期性闪烁的显示基本算术问题的小插曲引起,这是参与者的主要任务。同时,呈现了低声和高声的声音,以及听觉的粉红噪声,用作控制。利用ssVEP信号的时间动态特性,我们可以研究视觉数学问题处理过程中声音的多峰干扰。我们观察到,与低刺激性声音和粉红色噪音相比,高刺激性声音与内脏皮层反应减弱和性能差有关,这表明情绪分散会跨各种方式起作用。我们讨论了感觉皮层在情绪分心中的作用,以及对教育神经科学中转化研究的启示。

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