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Comparison of EEG and MEG in source localization of induced human gamma-band oscillations during visual stimulus

机译:脑电图和脑电图在视觉刺激过程中诱导人类伽玛波段振荡的声源定位中的比较

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High frequency gamma oscillations are indications of information processing in cortical neuronal networks. Recently, non-invasive detection of these oscillations have become one of the main research areas in magnetoencephalography (MEG) and electroencephalography (EEG) studies. The aim of this study, which is a continuation of our previous MEG study, is to compare the capability of the two modalities (EEG and MEG) in localizing the source of the induced gamma activity due to a visual stimulus, using a spatial filtering technique known as dynamic imaging of coherent sources (DICS). To do this, the brain activity was recorded using simultaneous MEG and EEG measurement and the data were analyzed with respect to time, frequency, and location of the strongest response. The spherical head modeling technique, such as, the three-shell concentric spheres and an overlapping sphere (local sphere) have been used as a forward model to calculate the external electromagnetic potentials and fields recorded by the EEG and MEG, respectively. Our results from the time-frequency analysis, at the sensor level, revealed that the parieto-occipital electrodes and sensors from both modalities showed a clear and sustained gamma-band activity throughout the post-stimulus duration and that both modalities showed similar strongest gamma-band peaks. It was difficult to interpret the spatial pattern of the gamma-band oscillatory response on the scalp, at the sensor level, for both modalities. However, the source analysis result revealed that MEG3 sensor type, which measure the derivative along the longitude, showed the source more focally and close to the visual cortex (cuneus) as compared to that of the EEG.
机译:高频伽马振荡是皮质神经元网络中信息处理的指示。最近,对这些振荡的无创检测已成为磁脑电图(MEG)和脑电图(EEG)研究的主要研究领域之一。这项研究的目的是我们之前的MEG研究的延续,目的是使用空间滤波技术比较两种模式(EEG和MEG)在定位由于视觉刺激而导致的伽马活性来源方面的能力。被称为相干源动态成像(DICS)。为此,使用同时进行的MEG和EEG测量来记录大脑活动,并就时间,频率和最强反应的位置分析数据。球形头建模技术(例如三壳同心球和重叠球(局部球))已被用作正向模型,以分别计算EEG和MEG记录的外部电磁势和场。我们在传感器级别的时频分析结果表明,两种模式的顶枕电极和传感器在整个刺激后的持续时间内均显示出清晰且持续的伽马带活动,并且两种模式均显示出相似的最强伽马强度。带峰。对于这两种方式,都很难在传感器水平上解释头皮上的伽马带振荡响应的空间模式。然而,源分析结果表明,与EEG相比,MEG3传感器类型沿经度测量导数,显示源更集中且更靠近视觉皮层(cuneus)。

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