Murray Micah M, Brunet Denis, Michel Christoph M
Electroencephalography Brain Mapping Core, Center for Biomedical Imaging of Lausanne and Geneva, Radiologie CHUV BH08.078, Bugnon 46 Lausanne, Switzerland.
Brain Topogr. 2008 Jun;20(4):249-64. doi: 10.1007/s10548-008-0054-5. Epub 2008 Mar 18.
In this tutorial review, we detail both the rationale for as well as the implementation of a set of analyses of surface-recorded event-related potentials (ERPs) that uses the reference-free spatial (i.e. topographic) information available from high-density electrode montages to render statistical information concerning modulations in response strength, latency, and topography both between and within experimental conditions. In these and other ways these topographic analysis methods allow the experimenter to glean additional information and neurophysiologic interpretability beyond what is available from canonical waveform analyses. In this tutorial we present the example of somatosensory evoked potentials (SEPs) in response to stimulation of each hand to illustrate these points. For each step of these analyses, we provide the reader with both a conceptual and mathematical description of how the analysis is carried out, what it yields, and how to interpret its statistical outcome. We show that these topographic analysis methods are intuitive and easy-to-use approaches that can remove much of the guesswork often confronting ERP researchers and also assist in identifying the information contained within high-density ERP datasets.
在本教程综述中,我们详细阐述了一组对表面记录的事件相关电位(ERP)进行分析的基本原理及实施方法。该分析利用高密度电极蒙太奇提供的无参考空间(即地形学)信息,以呈现有关实验条件之间及之内反应强度、潜伏期和地形学调制的统计信息。通过这些及其他方式,这些地形学分析方法使实验者能够获取超出传统波形分析所能提供的额外信息和神经生理学解释力。在本教程中,我们以对每只手进行刺激时的体感诱发电位(SEP)为例来说明这些要点。对于这些分析的每一步,我们都为读者提供了关于分析如何进行、分析产生了什么结果以及如何解释其统计结果的概念性和数学描述。我们表明,这些地形学分析方法直观且易于使用,能够消除ERP研究人员常常面临的许多猜测工作,还有助于识别高密度ERP数据集中包含的信息。