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Spatiotemporal dynamics of working memory under the influence of emotions based on EEG.
Journal of Neural Engineering ( IF 4 ) Pub Date : 2020-04-29 , DOI: 10.1088/1741-2552/ab7f50
Yuanyuan Zhang 1 , Baolin Liu , Xiaorong Gao
Affiliation  

OBJECTIVE Previous studies have reported that working memory (WM) may be affected by emotions and that the effect may exist in different stages of WM. However, at present it remains controversial whether emotions inhibit or facilitate WM, and how the mechanism of dynamic information transmission in the brain during WM is affected by emotions. APPROACH In this study, we used a video database to induce three emotions (negative, neutral, and positive) and adopted a change detection paradigm based on electroencephalography. Event-related potential (ERP) analysis, event-related spectral perturbation analysis, source location analysis based on the dipole localization method and the distributed source localization method, and effective connectivity analysis were performed. MAIN RESULTS Both behavioral and ERP results suggest that positive emotions have no significant effect on WM capacity, while negative emotions could facilitate WM capacity. Furthermore, the effective connectivity results based on two source location methods suggest that the long-range connectivity between the frontal and posterior areas can reflect the influence of positive and negative emotions on the WM network, in which the connectivity under the positive emotion condition occurs in the earlier period of WM maintenance, while the connectivity under the negative emotion condition occurs in the later period of WM maintenance. SIGNIFICANCE The consistency of the behavioral, ERP, and effective connectivity results suggests that under the negative emotion condition, the top-down attention modulation between the frontoparietal area and posterior area could promote the most relevant information storage during WM maintenance.

中文翻译:

基于脑电图的情绪影响下工作记忆的时空动态[J].

目的 先前的研究表明,工作记忆 (WM) 可能会受到情绪的影响,并且这种影响可能存在于 WM 的不同阶段。然而,情绪是抑制还是促进WM,以及WM过程中大脑动态信息传递的机制如何受情绪影响,目前仍存在争议。方法在本研究中,我们使用视频数据库来诱导三种情绪(消极、中性和积极),并采用基于脑电图的变化检测范式。进行了事件相关电位(ERP)分析、事件相关谱微扰分析、基于偶极子定位方法和分布式源定位方法的源定位分析,以及有效的连通性分析。主要结果 行为和 ERP 结果均表明,积极情绪对 WM 能力没有显着影响,而消极情绪可以促进 WM 能力。此外,基于两种源定位方法的有效连接结果表明,前区和后区之间的长程连接可以反映正负情绪对 WM 网络的影响,其中正情绪条件下的连接发生在WM维护的前期,而负性情绪条件下的连通性发生在WM维护的后期。意义 行为、ERP 和有效连接结果的一致性表明,在消极情绪条件下,
更新日期:2020-04-29
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