Rejection of pulse related artefact (PRA) from continuous electroencephalographic (EEG) time series recorded during functional magnetic resonance imaging (fMRI) using constraint independent component analysis (cICA)
Rejection of pulse related artefact (PRA) from continuous electroencephalographic (EEG) time series recorded during functional magnetic resonance imaging (fMRI) using constraint independent component analysis (cICA)
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DOI：
10.1016/j.neuroimage.2008.10.017
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发表时间：
2009-02-01
期刊：
影响因子：
5.7
通讯作者：
Phillips, Christophe
中科院分区：
文献类型：
--
作者：
Leclercq, Yves;Balteau, Evelyne;Phillips, Christophe
从与fMRI数据同时记录的脑电图（EEG）时间序列中拒绝脉冲相关伪影（PRA）是困难的，特别是在NREM睡眠期间，因为睡眠慢波和PRA之间的相似性，在时域和频域中，并且需要使用非平均数据。在这里，我们介绍了一种基于约束独立分量分析（=cICA）的PRA去除算法。这种方法有几个优点：（1）自动检测对应于PRA的组件;（=2）解决方案的稳定性和（3）计算处理。使用在3 T MR扫描仪中获得的多通道EEG记录，伴随和不伴随fMRI采集，我们提供了在各种睡眠和清醒条件下拒绝PRA的方法的灵敏度和特异性的证据。(C)2008年爱思唯尔公司All rights reserved.
Rejection of the pulse related artefact (PRA) from electroencephalographic (EEG) time series recorded simultaneously with fMRI data is difficult, particularly during NREM sleep because of the similarities between sleep slow waves and PRA, in both temporal and frequency domains and the need to work with non-averaged data. Here we introduce an algorithm based on constrained independent component analysis (=cICA) for PRA removal. This method has several advantages: (1) automatic detection of the components corresponding to the PRA; (=2) stability of the solution and (3) computational treatability. Using multichannel EEG recordings obtained in a 3 T MR scanner, with and without concomitant fMRI acquisition, we provide evidence for the sensitivity and specitivity of the method in rejecting PRA in various sleep and waking conditions. (C) 2008 Elsevier Inc. All rights reserved.