title: MEG-SIM: a web portal for testing MEG analysis methods using realistic simulated and empirical data.
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.
authors: Department of Radiology, MSC10 5530, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA. aine@unm.edu
authors: C J
authors: CJ
authors: Aine
authors: L
authors: L
authors: Sanfratello
authors: D
authors: D
authors: Ranken
authors: E
authors: E
authors: Best
authors: J A
authors: JA
authors: MacArthur
authors: T
authors: T
authors: Wallace
authors: K
authors: K
authors: Gilliam
authors: C H
authors: CH
authors: Donahue
authors: R
authors: R
authors: Montaño
authors: J E
authors: JE
authors: Bryant
authors: A
authors: A
authors: Scott
authors: J M
authors: JM
authors: Stephen
mesh_terms: D000161:Acoustic Stimulation; D000465:Algorithms; D000818:Animals; D001303:Auditory Cortex / Q000502:physiology; D001611:Beta Rhythm / Q000502:physiology; D002138:Calibration; D002560:Cerebrovascular Circulation / Q000502:physiology; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D004569:Electroencephalography / Q000379:methods* / Q000706:statistics & numerical data*; D007839:Functional Laterality / Q000502:physiology; D000882:Haplorhini; D006801:Humans; D020407:Internet; D015225:Magnetoencephalography / Q000379:methods* / Q000706:statistics & numerical data*; D008570:Memory, Short-Term / Q000502:physiology; D009434:Neural Pathways / Q000502:physiology; D010775:Photic Stimulation; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013003:Somatosensory Cortex / Q000502:physiology; D014584:User-Computer Interface; D014796:Visual Perception / Q000502:physiology