Nunez P L, Pilgreen K L
Department of Biomedical Engineering, Tulane University School of Engineering, New Orleans, Louisiana 70118.
J Clin Neurophysiol. 1991 Oct;8(4):397-413.
An important goal of EEG research is to obtain practical methods to improve the spatial resolution of scalp-recorded potentials, i.e., to make surface data more accurately represent local underlying brain sources. This goal may be somewhat different from that of "localizing brain activity with EEG," since the latter approach often involves prior assumptions about the nature of sources. In this paper, we demonstrate that spline-Laplacian, a relatively new approach that can yield dramatic improvement in spatial resolution when average electrode spacing is less than about 3 cm. This approach is mostly independent of assumptions about sources and models of the head. The demonstration involves computer simulations, evoked potentials, normal spontaneous EEG, and epileptic spikes.
脑电图（EEG）研究的一个重要目标是获得切实可行的方法来提高头皮记录电位的空间分辨率，即让表面数据更准确地反映局部潜在脑源。这个目标可能与“用EEG定位脑活动”的目标有所不同，因为后一种方法通常涉及对源的性质的先验假设。在本文中，我们证明了样条拉普拉斯算子，这是一种相对较新的方法，当平均电极间距小于约3厘米时，它能在空间分辨率上产生显著提高。这种方法大多独立于对源和头部模型的假设。证明过程涉及计算机模拟、诱发电位、正常自发脑电图和癫痫棘波。
