• DocumentCode
    954386
  • Title

    Simulation studies of multiple dipole neuromagnetic source localization: model order and limits of source resolution

  • Author

    Supek, Selma ; Aine, Cheryl J.

  • Author_Institution
    Los Alamos Nat. Lab., NM, USA
  • Volume
    40
  • Issue
    6
  • fYear
    1993
  • fDate
    6/1/1993 12:00:00 AM
  • Firstpage
    529
  • Lastpage
    540
  • Abstract
    Numerical simulation studies were performed using a multiple-dipole source model and a spherical approximation of the head to determine how the resolution of simultaneously active neuromagnetic sources depends on source modeling assumptions (i.e., number of assumed dipoles), actual source parameters (e.g., location, orientation, and moment), and measurement errors. Forward calculations were made for a series of source configurations in which the number of dipoles, specific dipole parameters, and noise levels were systematically varied. Simulated noisy field distributions were fit by multiple dipole models of increasing model order (1,2, . . ., 6), and alternative statistical approaches (i.e., percent of variance, reduced chi-square, and F-ratio) were compared for their effectiveness in determining adequate model order. Limits of spatial resolution were established for a variety of multisource configurations and noise conditions. Implications for the analysis of empirical data are discussed.
  • Keywords
    biomagnetism; brain models; F-ratio; active neuromagnetic sources; empirical data analysis; forward calculations; measurement errors; model order; multiple dipole neuromagnetic source localization; noisy field distributions; numerical simulation; reduced chi-square; source configuration; source resolution limits; spatial resolution; spherical approximation; statistical approaches; Biomedical measurements; Biophysics; Data analysis; Laboratories; Magnetic heads; Measurement errors; Noise generators; Noise level; Noise reduction; Numerical simulation; Performance evaluation; Spatial resolution; Data Interpretation, Statistical; Electromagnetic Fields; Magnetoencephalography; Models, Biological; Models, Statistical; Monte Carlo Method;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.237672
  • Filename
    237672