论文标题
通过工作记忆过程，静息状态脑电图中功率和信息流的变化
Changes in Power and Information Flow in Resting-state EEG by Working Memory Process
论文作者
论文摘要
许多研究已经分析了脑电图（EEG）的工作记忆（WM）。然而，对于根据WM过程中静息状态（RS）中脑神经动力学的变化知之甚少。在这里，我们在WM编码和WM检索之前和之后确定了特定于频率的功率和信息流模式。我们的结果表明，Delta（1-3.5 Hz），Alpha（8-13.5 Hz）和Beta（14-29.5 Hz）频段的RS EEG之间的功率和信息流差异差异。特别是，WM检索后的Alpha频带显着增加。此外，我们计算了RS EEG和WM性能的重要特征之间的关联，有趣的是，仅在Alpha频段中发现相关性。这些结果表明，根据WM过程，RS EEG对与认知功能有关的大脑机制的可变性和WM性能有重大影响。
Many studies have analyzed working memory (WM) from electroencephalogram (EEG). However, little is known about changes in the brain neurodynamics among resting-state (RS) according to the WM process. Here, we identified frequency-specific power and information flow patterns among three RS EEG before and after WM encoding and WM retrieval. Our results demonstrated the difference in power and information flow among RS EEG in delta (1-3.5 Hz), alpha (8-13.5 Hz), and beta (14-29.5 Hz) bands. In particular, there was a marked increase in the alpha band after WM retrieval. In addition, we calculated the association between significant characteristics of RS EEG and WM performance, and interestingly, correlations were found only in the alpha band. These results suggest that RS EEG according to the WM process has a significant impact on the variability and WM performance of brain mechanisms in relation to cognitive function.
