Nunez P L, Westdorp A F
Department of Biomedical Engineering, School of Engineering, Tulane University, New Orleans, LA 70118-5674.
Brain Topogr. 1994 Spring;6(3):221-6. doi: 10.1007/BF01187712.
The surface Laplacian estimate (i.e., current source density) as obtained with spline functions is evaluated in the context of some recent controversies concerning high resolution EEG and source localization. In simulation studies, the spline-Laplacian provides much better estimates of cortical surface potential than is obtained from raw scalp potential, provided dense electrode arrays (e.g., 64 or more electrodes) are used. Spline-Laplacians (which are relatively independent of volume conductor model) provide estimates of cortical potential distribution which are quite similar to those obtained with a cortical imaging algorithm based on a four sphere model.
利用样条函数获得的表面拉普拉斯估计值（即电流源密度），是在近期有关高分辨率脑电图和源定位的一些争议背景下进行评估的。在模拟研究中，若使用密集电极阵列（如64个或更多电极），样条拉普拉斯法能比原始头皮电位更好地估计皮质表面电位。样条拉普拉斯法（相对独立于容积导体模型）提供的皮质电位分布估计值，与基于四球模型的皮质成像算法所获得的估计值非常相似。
