Objective . Although magnetoencephalography and electroencephalography (M/EEG) signals at sensor level are robust and reliable, they suffer from different degrees of distortion due to changes in brain tissue conductivities, known as field spread and volume conduction effects. To estimate original neural generators from M/EEG activity acquired at sensor level, diverse source localisation algorithms have been proposed; however, they are not exempt from limitations and usually involve time-consuming procedures. Connectivity and network-based M/EEG analyses have been found to be affected by field spread and volume conduction effects; nevertheless, the influence of the aforementioned effects on widely used local activation parameters has not been assessed yet. The goal of this study is to evaluate the consistency of various local activation parameters when they are computed at sensor- and source-level. Approach . Six spectral (relative power, median frequency, and individu...

中文翻译：

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神经信号中传感器和源级局部激活参数的一致性

客观的 。尽管传感器级别的脑磁图和脑电图 (M/EEG) 信号稳健可靠，但由于脑组织电导率的变化，它们会遭受不同程度的失真，称为场扩散和体积传导效应。为了从传感器级别获取的 M/EEG 活动估计原始神经发生器，已经提出了多种源定位算法；但是，它们并不能免除限制，而且通常涉及耗时的程序。已发现连接性和基于网络的 M/EEG 分析受场扩散和体积传导效应的影响；然而，尚未评估上述效应对广泛使用的局部激活参数的影响。本研究的目的是评估在传感器和源级别计算的各种局部激活参数的一致性。方法 。六谱（相对功率、中频和个体...