• DocumentCode
    3077757
  • Title

    Neuroelectromagnetic Forward Modeling Toolbox

  • Author

    Akalin Acar, Zeynep ; Makeig, Scott

  • Author_Institution
    Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, USA
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    3991
  • Lastpage
    3994
  • Abstract
    This paper introduces a Neuroelectromagnetic Forward Modeling Toolbox running under MATLAB (The Mathworks, Inc.) for generating realistic head models from available data (MRI and/or electrode locations) and for solving the forward problem of electro-magnetic source imaging numerically. The toolbox includes tools for segmenting scalp, skull, cerebrospinal fluid (CSF) and brain tissues from T1-weighted magnetic resonance (MR) images. After extracting the segmented tissue volumes, mesh generation can be performed using deformable models. When MR images are not available, it is possible to warp a template head model to measured electrode locations to obtain a better-fitting realistic model. The Boundary Element Method (BEM) is used for the numerical solution of the forward problem. Toolbox functions can be called from either a graphic user interface or from the command line. Function help messages and a tutorial are included. The toolbox is freely available under the GNU Public License for noncommercial use and open source development.
  • Keywords
    Electrodes; Image segmentation; MATLAB; Magnetic heads; Magnetic liquids; Magnetic resonance; Magnetic resonance imaging; Mathematical model; Scalp; Skull; Action Potentials; Algorithms; Animals; Brain; Cerebrospinal Fluid; Computational Biology; Electrodes; Humans; Magnetic Resonance Imaging; Neural Networks (Computer); Neurons; Numerical Analysis, Computer-Assisted; Radiation; Signal Processing, Computer-Assisted; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650084
  • Filename
    4650084