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.