Sources of non-physiologic noise in simultaneous EEG-fMRI data: a phantom study.
Sources of non-physiologic noise in simultaneous EEG-fMRI data: a phantom study.
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同时 EEG-fMRI 数据中的非生理噪声来源：一项模型研究。
DOI：
10.1109/iembs.2010.5626168
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Larson-Prior,Linda
中科院分区：
文献类型：
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作者：
Politte,David;Prior,Fred;Ponton,Curtis;Nolan,Tracy;Larson-Prior,Linda
同时进行EEG-fMRI研究需要了解采集环境的噪声特性，以便采取适当的预处理步骤，从数据流中去除已知的伪影。使用幻像方法，我们开发了一种通用方法来表征脑电图信号中的非生理性噪声，并演示了该方法在特定MR扫描仪和脑电图数据采集系统配置中的使用。结果表明，δ波段受基线漂移和基线校正算法的影响较大，而β和γ波段受残余梯度伪影和梯度校正算法的影响较大。
Simultaneous EEG-fMRI studies require an understanding of the noise characteristics of the acquisition environment so that appropriate pre-processing steps may be taken to remove known artifacts from the data stream. Using a phantom approach, we have developed a general methodology for characterizing non-physiologic noise in EEG signal and demonstrate the use of this methodology for a specific MR scanner and EEG data acquisition system configuration. Our results show the δ frequency band is significantly impacted by baseline drift or baseline correction algorithms while the β and γ bands are impacted by residual gradient artifact and gradient corrections.