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Evaluation of multiple-sphere head models for MEG source localization.

M Lalancette1,2, M Quraan3, D Cheyne1,2,4

  • 1Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario M5G 1X8, Canada.

Physics in Medicine and Biology
|August 11, 2011
PubMed
Summary
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Magnetoencephalography (MEG) head modeling using spherical approximations introduces significant localization bias. Realistic head models are recommended to improve accuracy in MEG source analysis.

Area of Science:

  • Neuroscience
  • Biophysics
  • Medical Imaging

Background:

  • Magnetoencephalography (MEG) source analysis commonly uses spherical head models for computational efficiency.
  • Multiple-sphere models offer improvements over single-sphere models but their accuracy varies.
  • Limited data exists on the comparative accuracy of different spherical head modeling techniques.

Purpose of the Study:

  • To evaluate the accuracy of various single- and multiple-sphere head models in MEG source analysis.
  • To quantify the localization bias introduced by spherical head models.
  • To compare the performance of different spherical fitting methods, including a novel field error minimization approach.

Main Methods:

  • Description and implementation of various single- and multiple-sphere fitting algorithms.

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  • Utilizing boundary element method (BEM) simulations for accurate forward modeling.
  • Evaluation of field measurement error and dipole localization bias across the entire brain.

    • Main Results:

    • Spherical models introduced an average field measurement error of 12% and a localization bias of 3.5 mm.
    • Localization bias could reach up to 1 cm in non-spherical head regions (inferior frontal, temporal).
    • Model performance varied significantly with source location, precluding a universally optimal fitting method.

    Conclusions:

    • Spherical head models introduce notable localization errors in MEG, particularly in non-ideal head shapes.
    • These errors can be amplified with complex source configurations and advanced inverse methods like beamforming.
    • The findings suggest that realistic head models should be considered for more accurate MEG source localization.