Yao Dezhong, Yin ZhongKe, Tang XiangHong, Arendt-Nielsen Lars, Chen Andrew C N
School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, People's Republic of China.
Phys Med Biol. 2004 Nov 21;49(22):5073-86. doi: 10.1088/0031-9155/49/22/004.
The neural electrical signal related to the human brain function is one of the tracks to understanding ourselves. Various electroencephalogram imaging techniques have been developed to reveal spatial information on neural activities in the brain from scalp recordings, such as Laplacian, equivalent source layer and potential. Physically, these methods may be classified into two categories: scalp surface or cortical surface based techniques. In this work, the focus is on the scalp surface based equivalent charge layer (ECL), with a comparison to the scalp potential with different references and scalp Laplacian (SL). The contents include theoretical analysis and numeric evaluation of simulated data and real alpha (8-12 Hz) data. The results confirm the fact that SL and ECL are of higher spatial resolution than various scalp potential maps, and for SL and ECL, SL is of higher resolution but more sensitive to noise.
与人类大脑功能相关的神经电信号是了解我们自身的途径之一。已经开发了各种脑电图成像技术,以从头皮记录中揭示大脑神经活动的空间信息,如拉普拉斯变换、等效源层和电位。从物理角度来看,这些方法可分为两类:基于头皮表面或皮质表面的技术。在这项工作中,重点是基于头皮表面的等效电荷层(ECL),并与不同参考的头皮电位和头皮拉普拉斯变换(SL)进行比较。内容包括对模拟数据和真实阿尔法(8 - 12赫兹)数据的理论分析和数值评估。结果证实了这样一个事实,即SL和ECL比各种头皮电位图具有更高的空间分辨率,并且对于SL和ECL而言,SL具有更高的分辨率,但对噪声更敏感。