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