Transforming of scalp EEGs with different channel locations by REST for comparative study

IF 3.5 3区医学 Q2 NEUROSCIENCES

Brain Research Bulletin Pub Date : 2024-09-02 DOI:10.1016/j.brainresbull.2024.111064

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引用次数: 0

Abstract

Objective

The diversity of electrode placement systems brought the problem of channel location harmonization in large-scale electroencephalography (EEG) applications to the forefront. Therefore, our goal was to resolve this problem by introducing and assessing the reference electrode standardization technique (REST) to transform EEGs into a common electrode distribution with computational zero reference at infinity offline.

Methods

Simulation and eye-closed resting-state EEG datasets were used to investigate the performance of REST for EEG signals and power configurations.

Results

REST produced small errors (the root mean square error (RMSE): 0.2936–0.4583; absolute errors: 0.2343–0.3657) and high correlations (>0.9) between the estimated signals and true ones. The comparison of configuration similarities in power among various electrode distributions revealed that REST induced infinity reference could maintain a perfect performance similar (>0.9) to that of true one.

Conclusion

These results demonstrated that REST transformation could be adopted to resolve the channel location harmonization problem in large-scale EEG applications.

查看原文本刊更多论文

通过 REST 对不同通道位置的头皮脑电图进行转换，以进行比较研究。

目的：电极放置系统的多样性使大规模脑电图（EEG）应用中的通道位置协调问题成为焦点。因此，我们的目标是通过引入和评估参考电极标准化技术（REST）来解决这一问题，从而将脑电图转化为在无穷远处离线计算零参考的通用电极分布：方法：使用模拟和闭眼静息态脑电数据集研究 REST 在脑电信号和电源配置方面的性能：结果：REST产生的误差较小（均方根误差（RMSE）：0.2936~0.4583；绝对误差：0.2343~0.333）：0.2343~0.3657），估计信号与真实信号之间的相关性较高（>0.9）。对不同电极分布的功率配置相似性进行比较后发现，REST 诱导的无穷大参考能够保持与真实参考相似（>0.9）的完美性能：这些结果表明，REST 变换可用于解决大规模脑电图应用中的信道位置协调问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Brain Research Bulletin 医学-神经科学

CiteScore

6.90

自引率

2.60%

发文量

253

审稿时长

67 days

期刊介绍： The Brain Research Bulletin (BRB) aims to publish novel work that advances our knowledge of molecular and cellular mechanisms that underlie neural network properties associated with behavior, cognition and other brain functions during neurodevelopment and in the adult. Although clinical research is out of the Journal''s scope, the BRB also aims to publish translation research that provides insight into biological mechanisms and processes associated with neurodegeneration mechanisms, neurological diseases and neuropsychiatric disorders. The Journal is especially interested in research using novel methodologies, such as optogenetics, multielectrode array recordings and life imaging in wild-type and genetically-modified animal models, with the goal to advance our understanding of how neurons, glia and networks function in vivo.