Taulu Samu, Hari Riitta
Elekta Neuromag Oy, Helsinki, Finland.
Hum Brain Mapp. 2009 May;30(5):1524-34. doi: 10.1002/hbm.20627.
Magnetic interference signals often hamper analysis of magnetoencephalographic (MEG) measurements. Artifact sources in the proximity of the sensors cause strong and spatially complex signals that are particularly challenging for the existing interference-suppression methods. Here we demonstrate the performance of the temporally extended signal space separation method (tSSS) in removing strong interference caused by external and nearby sources on auditory-evoked magnetic fields-the sources of which are well established. The MEG signals were contaminated by normal environmental interference, by artificially produced additional external interference, and by nearby artifacts produced by a piece of magnetized wire in the subject's lip. After tSSS processing, even the single-trial auditory responses had a good-enough signal-to-noise ratio for detailed waveform and source analysis. Waveforms and source locations of the tSSS-reconstructed data were in good agreement with the responses from the control condition without extra interference. Our results demonstrate that tSSS is a robust and efficient method for removing a wide range of different types of interference signals in neuromagnetic multichannel measurements.
磁干扰信号常常妨碍脑磁图(MEG)测量的分析。传感器附近的伪迹源会产生强烈且空间复杂的信号,这对现有的干扰抑制方法来说尤其具有挑战性。在此,我们展示了时间扩展信号空间分离方法(tSSS)在去除由外部和附近源对听觉诱发磁场造成的强干扰方面的性能,其中这些干扰源是明确的。MEG信号受到正常环境干扰、人为产生的额外外部干扰以及受试者嘴唇处一段磁化导线产生的附近伪迹的污染。经过tSSS处理后,即使是单次试验的听觉反应也具有足够好的信噪比,可用于详细的波形和源分析。tSSS重建数据的波形和源位置与无额外干扰的对照条件下的反应高度一致。我们的结果表明,tSSS是一种在神经磁多通道测量中去除广泛不同类型干扰信号的强大且高效的方法。