Cleveland Clinic Epilepsy Center, Cleveland, Ohio, U.S.A.
J Clin Neurophysiol. 2020 Nov;37(6):508-517. doi: 10.1097/WNP.0000000000000699.
Noise sources in magnetoencephalography (MEG) include: (1) interference from outside the shielded room, (2) other people and devices inside the shielded room, (3) physiologic or nonphysiologic sources inside the patient, (4) activity from inside the head that is unrelated to the signal of interest, (5) intrinsic sensor and recording electronics noise, and (6) artifacts from other apparatus used during recording such as evoked response stimulators. There are other factors which corrupt MEG recording and interpretation and should also be considered "artifacts": (7) inadequate positioning of the patient, (8) changes in the head position during the recording, (9) incorrect co-registration, (10) spurious signals introduced during postprocessing, and (11) errors in fitting. The major means whereby magnetic interference can be reduced or eliminated are by recording inside a magnetically shielded room, using gradiometers that measure differential magnetic fields, real-time active compensation using reference sensors, and postprocessing with advanced spatio-temporal filters. Many of the artifacts that plague MEG are also seen in EEG, so an experienced electroencephalographer will have the advantage of being able to transfer his knowledge about artifacts to MEG. However, many of the procedures and software used during acquisition and analysis may themselves contribute artifact or distortion that must be recognized or prevented. In summary, MEG artifacts are not worse than EEG artifacts, but many are different, and-as with EEG-must be attended to.
脑磁图(MEG)中的噪声源包括:(1)屏蔽室外部的干扰;(2)屏蔽室内的其他人或设备;(3)患者体内的生理或非生理来源;(4)与感兴趣信号无关的头部内部活动;(5)内部传感器和记录电子设备的噪声;(6)记录过程中使用的其他设备产生的伪影,如诱发反应刺激器。还有其他因素会破坏 MEG 的记录和解释,也应被视为“伪影”:(7)患者定位不当;(8)记录过程中头部位置的变化;(9)不正确的配准;(10)在后处理过程中引入的虚假信号;(11)拟合误差。减少或消除磁场干扰的主要方法是在磁屏蔽室内进行记录,使用测量差分磁场的梯度计,使用参考传感器进行实时主动补偿,以及使用先进的时空滤波器进行后处理。困扰 MEG 的许多伪影也存在于 EEG 中,因此经验丰富的脑电图技师将具有将其关于伪影的知识转移到 MEG 的优势。然而,在采集和分析过程中使用的许多程序和软件本身可能会产生伪影或失真,必须加以识别或防止。总之,MEG 伪影并不比 EEG 伪影更严重,但很多是不同的,而且——与 EEG 一样——必须加以关注。