title: Evaluation of MRI-MEG/EEG co-registration strategies using Monte Carlo simulation.
abstract: We present a Monte Carlo analysis method for evaluating MRI-MEG/EEG co-registration techniques. The method estimates the error in co-registration as a function of position within the brain. Using this analysis technique, we demonstrate the limitations of conventional head-based fiducial point methods, and propose a new strategy utilising a dental bite-bar incorporating accurately machined fiducial markers. Results presented demonstrate the improved accuracy of MEG/EEG to MRI co-registration using the bite-bar.
authors.affiliation: Department of Vision Sciences, Aston University, Aston Triangle, Birmingham, UK. k.singh@rhbnc.ac.uk
authors.forename: K D
authors.initials: KD
authors.lastname: Singh
authors.forename: I E
authors.initials: IE
authors.lastname: Holliday
authors.forename: P L
authors.initials: PL
authors.lastname: Furlong
authors.forename: G F
authors.initials: GF
authors.lastname: Harding
mesh_terms: D001921:Brain / Q000502:physiology*; D004569:Electroencephalography; D006801:Humans; D008279:Magnetic Resonance Imaging; D015225:Magnetoencephalography; D009010:Monte Carlo Method; D012015:Reference Standards