Hunold A, Funke M E, Eichardt R, Stenroos M, Haueisen J
Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, POB 100565, D-98684 Ilmenau, Germany.
Physiol Meas. 2016 Jul;37(7):1146-62. doi: 10.1088/0967-3334/37/7/1146. Epub 2016 Jun 21.
Simultaneous electroencephalography (EEG) and magnetoencephalography (MEG) recordings of neuronal activity from epileptic patients reveal situations in which either EEG or MEG or both modalities show visible interictal spikes. While different signal-to-noise ratios (SNRs) of the spikes in EEG and MEG have been reported, a quantitative relation of spike source orientation and depth as well as the background brain activity to the SNR has not been established. We investigated this quantitative relationship for both dipole and patch sources in an anatomically realistic cortex model. Altogether, 5600 dipole and 3300 patch sources were distributed on the segmented cortical surfaces of two volunteers. The sources were classified according to their quantified depths and orientations, ranging from 20 mm to 60 mm below the skin surface and radial and tangential, respectively. The source time-courses mimicked an interictal spike, and the simulated background activity emulated resting activity. Simulations were conducted with individual three-compartment boundary element models. The SNR was evaluated for 128 EEG, 102 MEG magnetometer, and 204 MEG gradiometer channels. For superficial dipole and superficial patch sources, EEG showed higher SNRs for dominantly radial orientations, and MEG showed higher values for dominantly tangential orientations. Gradiometers provided higher SNR than magnetometers for superficial sources, particularly for those with dominantly tangential orientations. The orientation dependent difference in SNR in EEG and MEG gradually changed as the sources were located deeper, where the interictal spikes generated higher SNRs in EEG compared to those in MEG for all source orientations. With deep sources, the SNRs in gradiometers and magnetometers were of the same order. To better detect spikes, both EEG and MEG should be used.
对癫痫患者神经元活动进行同步脑电图(EEG)和脑磁图(MEG)记录,揭示了EEG或MEG或两种模式均显示可见发作间期棘波的情况。虽然已有报道EEG和MEG中棘波的不同信噪比(SNR),但尚未建立棘波源方向和深度以及背景脑活动与SNR的定量关系。我们在一个解剖学逼真的皮层模型中研究了偶极子源和贴片源的这种定量关系。总共5600个偶极子源和3300个贴片源分布在两名志愿者的分段皮质表面上。这些源根据其量化深度和方向进行分类,深度范围为皮肤表面以下20毫米至60毫米,方向分别为径向和切向。源的时间进程模拟发作间期棘波,模拟的背景活动模拟静息活动。使用个体三室边界元模型进行模拟。对128个EEG通道、102个MEG磁力计通道和204个MEG梯度计通道评估了SNR。对于浅表偶极子源和浅表贴片源,EEG在主要为径向方向时显示出较高的SNR,而MEG在主要为切向方向时显示出较高的值。对于浅表源,梯度计提供的SNR高于磁力计,特别是对于那些主要为切向方向的源。随着源位置变深,EEG和MEG中SNR的方向依赖性差异逐渐变化,在此深度,与所有源方向的MEG相比,发作间期棘波在EEG中产生更高的SNR。对于深部源,梯度计和磁力计中的SNR处于同一量级。为了更好地检测棘波,应同时使用EEG和MEG。