Title :
Surface Laplacian with spline and nearest neighbour interpolations for topographic brain mapping
Author :
Tierra, C.J. ; Simpson, D.M. ; Infantosi, A.F.C.
Author_Institution :
Fed. Univ. of Rio de Janeiro, Brazil
fDate :
31 Oct-3 Nov 1996
Abstract :
In the construction of topographic maps from the EEG, the Laplacian (or Source Derivation) operation improves the localisation of sources, by reducing the smearing effect in conducting layers of the head. Due to the use of a limited number of electrodes, interpolation techniques are employed either before or after applying the Laplacian. In the present work, two such approaches, Spline interpolation followed by Laplacian and Laplacian followed by four nearest neighbour interpolation, are applied to scalp potential distributions derived from simulated dipole sources. The results prove both approaches to be similarly effective in demonstrating the presence of multiple dipoles
Keywords :
brain; electroencephalography; interpolation; medical image processing; splines (mathematics); EEG; electrodiagnostics; multiple dipoles; nearest neighbour interpolation; scalp potential distribution; simulated dipole sources; spline interpolation; surface Laplacian; topographic brain mapping; topographic maps construction; Brain mapping; Brain modeling; Electrodes; Electroencephalography; Head; Interpolation; Laplace equations; Scalp; Spline; Surface topography;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652775