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首页> 外文会议>2015 IEEE Student Symposium in Biomedical Engineering amp; Sciences >EEG-based brain connectivity analysis of working memory and attention
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EEG-based brain connectivity analysis of working memory and attention

机译：基于脑电图的工作记忆和注意力的大脑连通性分析

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Recent research reveal that the Working Memory (WM) is more powerful than IQ as a predictor of academic success. However, there are factors that may influence WM performance, such as Attention. Although the impact of attention is well documented using ERPs; yet, the underlying brain connectivity of the interaction of these two constructs is not sufficiently understood. In this study, a Delay-Response task and electroencephalography (EEG) data are used to investigate the brain connectivity during two stages of Working Memory: Encoding and Maintenance. We have presented distraction in both stages, and a secondary task in maintenance stage. Scalp EEG data of 19 participants were recorded. These results not only reveal the underlying brain connectivity of each task, but also highlights the differences between distraction and multitasking. The results show significant brain connectivity changes in the frontal and occipital areas of the brain depending on the WM stage where the distraction is presented.
机译：最近的研究表明，工作记忆（WM）比IQ作为预测学术成功的指标更强大。但是，有些因素可能会影响WM的性能，例如“注意”。尽管使用ERP记录了注意力的影响；然而，这两种构建体之间相互作用的潜在大脑连接性尚未得到足够的了解。在这项研究中，延迟响应任务和脑电图（EEG）数据用于研究工作记忆两个阶段的大脑连接性：编码和维护。我们在两个阶段都提出了分心的建议，而在维护阶段则提出了次要任务。记录了19名参与者的头皮脑电图数据。这些结果不仅揭示了每个任务的潜在大脑连接性，而且突出了分心和多任务处理之间的差异。结果显示，取决于WM阶段（分心）的出现，大脑额叶和枕叶区域的大脑连接能力发生了显着变化。

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