MEG: shall I love you? Rich data plus various ways to analyze. What's the best? Or establish my own.

Parametric methods

    * Dipole Fitting
    * Multiple Dipole Fitting
    * Extended Patch Fitting (To correctly model surface extent of current distribution)


Scanning methods

    * MUSIC--MUltiple SIgnal Classification
    * RAP MUSIC--Recursively Applied (RAP) MUSIC
    * LCMV--Linear Constrained Minimum Variance
    * SAM -- non-linear adaptive spatial filter (use time domain sensor covariance)
    * Vector beamformer
    * DICS -- use cross-spectral density covariance


Imaging methods
L1 Norm

    * MCE - Minimum Current Estimate


L2 Norm

    * MNE - Minimum Norm Estimate
          o Software:MNE-Suite
    * LORETA - Low Resolution Brain Electromagnetic Tomography
          o Probably everything you ever wanted to know is at this website by Pascual-Marqui
    * LAURA
    * dSPM - dynamic Statistical Parametric Mapping


Bayesian Approaches

    * sLORETA - standardized Low Resolution Brain Electromagnetic Tomography
          o Open PDF file with all technical details
          o Download the free academic sLORETA software


Something New

    * eLORETA - exact Low Resolution Brain Electromagnetic Tomography
          o Technical report (abstract & PDF file) at arXiv
          o Web pages with full technical report
          o Some eLORETA results