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在多通道脑电图和皮层脑电图数据中显著事件相关去同步化/事件相关同步化模式的可视化。

Visualization of significant ERD/ERS patterns in multichannel EEG and ECoG data.

作者信息

Graimann B, Huggins J E, Levine S P, Pfurtscheller G

机构信息

Department of Medical Informatics, Institute for Biomedical Engineering, Technical University Graz, Inffeldgasse 16a/II, A-8010 Graz, Austria.

出版信息

Clin Neurophysiol. 2002 Jan;113(1):43-7. doi: 10.1016/s1388-2457(01)00697-6.

Abstract

OBJECTIVES

Analysis of event-related desynchronization (ERD) and event-related synchronization (ERS) often requires the investigation of diverse frequency bands. Such analysis can be difficult, especially when using multichannel data. Therefore, an effective method for the visualization of event-related changes in oscillatory brain activity is required.

METHODS

A bootstrap-based method is presented which gives time-frequency maps showing only significant changes of ERD or ERS in predetermined frequency bands.

RESULTS

Examples from an electroencephalographic study and an electrocorticographic study are shown. The results demonstrate how easily reactive channels and their spatio-temporal and frequency-specific characteristics can be identified by means of this method.

CONCLUSIONS

The proposed method is a simple but effective way to visualize significant ERD/ERS patterns.

摘要

目的

对事件相关去同步化(ERD)和事件相关同步化(ERS)的分析通常需要研究不同的频段。这种分析可能会很困难,尤其是在使用多通道数据时。因此,需要一种有效的方法来可视化振荡性脑活动中与事件相关的变化。

方法

提出了一种基于自助法的方法,该方法给出的时频图仅显示预定频段中ERD或ERS的显著变化。

结果

展示了脑电图研究和皮质电图研究的示例。结果表明,通过这种方法可以很容易地识别反应性通道及其时空和频率特异性特征。

结论

所提出的方法是一种简单但有效的可视化显著ERD/ERS模式的方法。

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