Burle Borís, Spieser Laure, Roger Clémence, Casini Laurence, Hasbroucq Thierry, Vidal Franck
Aix-Marseille Université, CNRS, LNC UMR 7291, 13331 Marseille, France.
Aix-Marseille Université, CNRS, LNC UMR 7291, 13331 Marseille, France.
Int J Psychophysiol. 2015 Sep;97(3):210-20. doi: 10.1016/j.ijpsycho.2015.05.004. Epub 2015 May 12.
Among the different brain imaging techniques, electroencephalography (EEG) is classically considered as having an excellent temporal resolution, but a poor spatial one. Here, we argue that the actual temporal resolution of conventional (scalp potentials) EEG is overestimated, and that volume conduction, the main cause of the poor spatial resolution of EEG, also distorts the recovered time course of the underlying sources at scalp level, and hence degrades the actual temporal resolution of EEG. While Current Source Density (CSD) estimates, through the Surface Laplacian (SL) computation, are well known to dramatically reduce volume conduction effects and hence improve EEG spatial resolution, its positive impact on EEG temporal resolution is much less recognized. In two simulation studies, we first show how volume conduction and reference electrodes distort the scalp potential time course, and how SL transform provides a much better spatio-temporal description. We then exemplify similar effects on two empirical datasets. We show how the time courses of the scalp potentials mis-estimate the latencies of the relevant brain events and that CSD provides a much richer, and much more accurate, view of the spatio-temporal dynamics of brain activity.
在不同的脑成像技术中,脑电图(EEG)传统上被认为具有出色的时间分辨率,但空间分辨率较差。在此,我们认为传统(头皮电位)EEG的实际时间分辨率被高估了,并且容积传导作为EEG空间分辨率差的主要原因,也会在头皮水平上扭曲潜在源的恢复时间进程,从而降低EEG的实际时间分辨率。虽然通过表面拉普拉斯算子(SL)计算的电流源密度(CSD)估计众所周知能显著降低容积传导效应,从而提高EEG空间分辨率,但其对EEG时间分辨率的积极影响却鲜为人知。在两项模拟研究中,我们首先展示了容积传导和参考电极如何扭曲头皮电位时间进程,以及SL变换如何提供更好的时空描述。然后我们在两个实证数据集上举例说明了类似的效应。我们展示了头皮电位的时间进程如何错误估计相关脑事件的潜伏期,以及CSD如何提供更丰富、更准确的脑活动时空动态视图。