论文标题
使用静止状态EEG预测事件相关的潜在拼写效果
Prediction of Event Related Potential Speller Performance Using Resting-State EEG
论文作者
论文摘要
与事件相关的电位（ERP）拼写器可用于锁定或严重受伤的患者的设备控制和通信。但是，诸如受试者间性能不稳定性和ERP透气等问题仍未解决。因此，必须在执行ERP拼写器之前预测分类性能以有效地使用它。在这项研究中，我们在ERP拼写之前使用静止状态调查了与ERP拼写的性能的相关性。在特定的情况下，我们根据四个大脑区域和五个频带使用光谱功率和功能连接性。结果，额叶区域的三角洲功率和三角洲，alpha，伽马频带的功能连接与ERP拼写的性能显着相关。此外，我们使用静息状态中的EEG功能预测了ERP拼写的性能。这些发现可能有助于调查ERP透气，并考虑每个用户的适当替代方案。
Event-related potential (ERP) speller can be utilized in device control and communication for locked-in or severely injured patients. However, problems such as inter-subject performance instability and ERP-illiteracy are still unresolved. Therefore, it is necessary to predict classification performance before performing an ERP speller in order to use it efficiently. In this study, we investigated the correlations with ERP speller performance using a resting-state before an ERP speller. In specific, we used spectral power and functional connectivity according to four brain regions and five frequency bands. As a result, the delta power in the frontal region and functional connectivity in the delta, alpha, gamma bands are significantly correlated with the ERP speller performance. Also, we predicted the ERP speller performance using EEG features in the resting-state. These findings may contribute to investigating the ERP-illiteracy and considering the appropriate alternatives for each user.
