Learning and Cognition Key Laboratory of Beijing, School of Psychology, Capital Normal University, Beijing 100048, China.
Learning and Cognition Key Laboratory of Beijing, School of Psychology, Capital Normal University, Beijing 100048, China.
Int J Psychophysiol. 2024 May;199:112341. doi: 10.1016/j.ijpsycho.2024.112341. Epub 2024 Apr 3.
The ability to select task-relevant information and filter out task-irrelevant information is critical to our success in daily goal-directed behavior. Researchers call this ability filtering efficiency and divide it into three cognitive processing stages: detection of distractors, initiation of filtering, and unnecessary storage. Although researchers have conducted more studies on ERP components related to filtration efficiency, there are few studies related to neural oscillations. Alpha oscillation activity is related to the active processing of information and the suppression of distractors. In the current EEG study, we used the change detection task with distracted items to examine whether alpha activity during filtering initiation reflects reactive suppression of distractors by manipulating memory load levels and the presence or absence of distractors. Results showed that, the presence of the distractors caused an increase in the degree of desynchronization of the alpha oscillations, and in the subsequent time, the alpha activity level returned to a level consistent with the absence of interference conditions. Phase synchronization between frontal and posterior brain regions in the upper alpha oscillations found no effects associated with distractors. Based on these results, we believed that the alpha activity during the filtering initiation phase reflected the active processing of distractors, but this may also be due to lower perceptual load of the target items. In addition, we observed a dominance effect of the right hemisphere in both time-frequency results and connectivity results. We speculate that this effect is related to the activation of the right ventral frontoparietal network.
选择与任务相关信息并过滤掉与任务不相关信息的能力对于我们在日常目标导向行为中取得成功至关重要。研究人员将这种能力称为过滤效率，并将其分为三个认知加工阶段：分心物的检测、过滤的启动和不必要的存储。尽管研究人员已经对与过滤效率相关的 ERP 成分进行了更多的研究，但与神经振荡相关的研究却很少。阿尔法振荡活动与信息的主动处理和分心物的抑制有关。在当前的 EEG 研究中，我们使用带有分心项目的变化检测任务，通过操纵记忆负荷水平和分心物的存在与否，来检验过滤启动期间的阿尔法活动是否反映了对分心物的反应性抑制。结果表明，分心物的存在导致阿尔法振荡的去同步程度增加，随后，阿尔法活动水平恢复到与无干扰条件一致的水平。在前额和后脑部区域之间的上阿尔法振荡的相位同步中，没有发现与分心物相关的影响。基于这些结果，我们认为过滤启动阶段的阿尔法活动反映了对分心物的主动处理，但这也可能是由于目标项目的感知负荷较低所致。此外，我们在时频结果和连通性结果中都观察到了右半球的优势效应。我们推测，这种效应与右侧腹侧额顶网络的激活有关。
