University of South Carolina, USA.
University of South Carolina, USA.
Dev Cogn Neurosci. 2022 Apr;54:101092. doi: 10.1016/j.dcn.2022.101092. Epub 2022 Feb 25.
Cortical source analysis of electroencephalographic (EEG) signals has become an important tool in the analysis of brain activity. The aim of source analysis is to reconstruct the cortical generators (sources) of the EEG signal recorded on the scalp. The quality of the source reconstruction relies on the accuracy of the forward problem, and consequently the inverse problem. An accurate forward solution is obtained when an appropriate imaging modality (i.e., structural magnetic resonance imaging - MRI) is used to describe the head geometry, precise electrode locations are identified with 3D maps of the sensor positions on the scalp, and realistic conductivity values are determined for each tissue type of the head model. Together these parameters contribute to the definition of realistic head models. Here, we describe the steps necessary to reconstruct the cortical generators of the EEG signal recorded on the scalp. We provide an example of source reconstruction of event-related potentials (ERPs) during a face-processing task performed by a 6-month-old infant. We discuss the adjustments necessary to perform source analysis with measures different from the ERPs. The proposed pipeline can be applied to the investigation of different cognitive tasks in both younger and older participants.
脑电(EEG)信号的皮质源分析已成为脑活动分析的重要工具。源分析的目的是重建头皮记录的 EEG 信号的皮质发生器(源)。源重建的质量依赖于正问题的准确性,因此也依赖于逆问题。当使用适当的成像方式(即结构磁共振成像-MRI)来描述头部几何形状、通过头皮上传感器位置的 3D 图谱准确识别电极位置以及为头部模型的每个组织类型确定现实的电导率值时,就可以获得准确的正向解。这些参数共同有助于定义现实的头部模型。在这里,我们描述了重建头皮上记录的 EEG 信号的皮质发生器所需的步骤。我们提供了一个在 6 个月大的婴儿执行面部处理任务期间进行事件相关电位(ERP)源重建的示例。我们讨论了执行源分析时需要进行的调整,以使用与 ERP 不同的措施。所提出的流水线可以应用于对不同认知任务的研究,包括年轻参与者和老年参与者。