title: MEG and ECoG localization accuracy test.
abstract: We tested the localization accuracy of magnetoencephalography (MEG) and electrocorticography (ECoG) for a current dipole in a saline filled sphere at depths ranging from 1 to 6 cm at 1 cm intervals. We used standard neuromagnetometer placements and subdural electrode grids, previously employed for patient studies, with precise measurements of sensor and electrode locations with a 3-dimensional spatial digitizer. MEG and ECoG had comparable accuracy with mean errors of 1.5 and 1.8 mm, respectively. It appears that use of the spatial digitizer increases accuracy for both MEG and EGoG localizations. The larger errors in the ECoG with increasing depths could be attributed to under-sampling of the spatial pattern of the field which spreads out with deeper sources. It should be noted that in clinical applications a grid of the dimensions used here would most typically be used for superficial sources on the cortex with depth recordings being preferred for investigations of deep epileptogenic activity. Results are encouraging for continued development of non-invasive MEG methods for further definition of epileptogenic zones in the brain.
authors.affiliation: Department of Electrical Engineering, University of California, Los Angeles.
authors.forename: S
authors.initials: S
authors.lastname: Gharib
authors.forename: W W
authors.initials: WW
authors.lastname: Sutherling
authors.forename: N
authors.initials: N
authors.lastname: Nakasato
authors.forename: D S
authors.initials: DS
authors.lastname: Barth
authors.forename: C
authors.initials: C
authors.lastname: Baumgartner
authors.forename: N
authors.initials: N
authors.lastname: Alexopoulos
authors.forename: S
authors.initials: S
authors.lastname: Taylor
authors.forename: R L
authors.initials: RL
authors.lastname: Rogers
mesh_terms: D002540:Cerebral Cortex / Q000502:physiology* / Q000503:physiopathology; D004569:Electroencephalography; D006801:Humans; D015225:Magnetoencephalography; D008433:Mathematics; D008959:Models, Neurological; D008962:Models, Theoretical; D015203:Reproducibility of Results