Neuroinformatics

, Volume 10, Issue 2, pp 141–158

MEG-SIM: A Web Portal for Testing MEG Analysis Methods using Realistic Simulated and Empirical Data

  • C. J. Aine
  • L. Sanfratello
  • D. Ranken
  • E. Best
  • J. A. MacArthur
  • T. Wallace
  • K. Gilliam
  • C. H. Donahue
  • R. Montaño
  • J. E. Bryant
  • A. Scott
  • J. M. Stephen
Original Article

DOI: 10.1007/s12021-011-9132-z

Cite this article as:
Aine, C.J., Sanfratello, L., Ranken, D. et al. Neuroinform (2012) 10: 141. doi:10.1007/s12021-011-9132-z

Abstract

MEG and EEG measure electrophysiological activity in the brain with exquisite temporal resolution. Because of this unique strength relative to noninvasive hemodynamic-based measures (fMRI, PET), the complementary nature of hemodynamic and electrophysiological techniques is becoming more widely recognized (e.g., Human Connectome Project). However, the available analysis methods for solving the inverse problem for MEG and EEG have not been compared and standardized to the extent that they have for fMRI/PET. A number of factors, including the non-uniqueness of the solution to the inverse problem for MEG/EEG, have led to multiple analysis techniques which have not been tested on consistent datasets, making direct comparisons of techniques challenging (or impossible). Since each of the methods is known to have their own set of strengths and weaknesses, it would be beneficial to quantify them. Toward this end, we are announcing the establishment of a website containing an extensive series of realistic simulated data for testing purposes (http://cobre.mrn.org/megsim/). Here, we present: 1) a brief overview of the basic types of inverse procedures; 2) the rationale and description of the testbed created; and 3) cases emphasizing functional connectivity (e.g., oscillatory activity) suitable for a wide assortment of analyses including independent component analysis (ICA), Granger Causality/Directed transfer function, and single-trial analysis.

Keywords

MEG EEG Simulations Database Testbed Inverse procedures Connectivity Visual Working Memory Auditory Somatosensory 

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • C. J. Aine
    • 1
    • 2
  • L. Sanfratello
    • 1
    • 2
  • D. Ranken
    • 3
  • E. Best
    • 2
  • J. A. MacArthur
    • 2
  • T. Wallace
    • 1
  • K. Gilliam
    • 2
  • C. H. Donahue
    • 1
  • R. Montaño
    • 1
  • J. E. Bryant
    • 1
  • A. Scott
    • 2
  • J. M. Stephen
    • 2
  1. 1.Department of Radiology, MSC10 5530University of New Mexico School of MedicineAlbuquerqueUSA
  2. 2.The Mind Research NetworkAlbuquerqueUSA
  3. 3.Los Alamos National LaboratoryLos AlamosUSA