Title :
High-resolution EEG using spline generated surface Laplacians on spherical and ellipsoidal surfaces
Author :
Law, Samuel K. ; Nunez, Paul L. ; Wijesinghe, Ranjith S.
Author_Institution :
Dept. of Biomed. Eng., Tulane Univ., New Orleans, LA, USA
Abstract :
Spline generated surface Laplacians are introduced as an effective method for estimating neocortical source activity at moderate scales. The method appears to be robust to the unavoidable perturbations of measured potentials and errors of head geometry and resistivity that are certain to occur in clinical or research settings. In particular, the surface Laplacian is derived for general ellipsoidal surfaces in terms of the spline function. The spline-Laplacian accurately estimates isolated dipoles or distributed sources, is insensitive to subcortical sources and to sources which originate outside the boundaries of the electrode array, and acts as a bandpass spatial filter whose characteristics appear to provide a good match to the volume conduction of intracranial sources through human heads. As a result, spatial resolution is improved over that obtained with conventional EEG by at least a factor of three. This improvement is likely to have a significant impact on both medical and cognitive studies involving EEG.
Keywords :
electroencephalography; bandpass spatial filter; distributed sources; electrode array boundaries; ellipsoidal surface; head geometry errors; high-resolution EEG; isolated dipoles; neocortical source activity; resistivity; spherical surface; spline generated surface Laplacians; subcortical sources; volume conduction; Conductivity; Electrodes; Electroencephalography; Geometry; Head; Humans; Laplace equations; Robustness; Spatial filters; Spline; Action Potentials; Algorithms; Artifacts; Bias (Epidemiology); Brain Mapping; Electric Impedance; Electrodes; Electroencephalography; Evaluation Studies as Topic; Humans; Mathematics; Scalp; Signal Processing, Computer-Assisted; Skull;
Journal_Title :
Biomedical Engineering, IEEE Transactions on