• DocumentCode
    320183
  • 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
  • Volume
    3
  • fYear
    1996
  • fDate
    31 Oct-3 Nov 1996
  • Firstpage
    1206
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/IEMBS.1996.652775
  • Filename
    652775