High-resolution EEG mapping: a radial-basis function based approach to the scalp Laplacian estimate

Objectives: The present study addressed a new scalp Laplacian mapping (LM) algorithm. Methods: Using a radial-basis function (RBF) as the interpolation basis function, and the smallest arc length on the surface of a spherical head model as the distance measure between two measurement sites, a new RBF based approach to LM is formulated. Results: With simulated data and empirical data, comparison between the new RBF based approach and the spherical spline function (SSF) based approach was conducted in a 4-concentric spheres head model, and the results show that the RBF based approach is better than the SSF based approach to LM. Conclusions: The new RBF based approach to LM provides an additional efficient way for the neural electrical activities imaging.