title: Dipole source localization of MEG by BP neural networks.
abstract: The purpose of this study was to examine the usefulness of BP neural network for source localization of MEG. Since the performance of this method does not depend on the complexity of brain parameters and source models, a homogeneous brain model and a single current dipole source are assumed for convenience. Localization accuracy was examined in relation to the configuration and scale of the network. As a result, average error for position and moment estimations was within 2% while the maximum error was about 5%. It was therefore concluded that the neural network method, was useful for MEG source localization, though some improvements are still necessary.
authors.affiliation: Department of Electrical and Electronic Engineering, University of Tokushima, Japan.
authors.forename: Y
authors.initials: Y
authors.lastname: Kinouchi
authors.forename: G
authors.initials: G
authors.lastname: Ohara
authors.forename: H
authors.initials: H
authors.lastname: Nagashino
authors.forename: T
authors.initials: T
authors.lastname: Soga
authors.forename: F
authors.initials: F
authors.lastname: Shichijo
authors.forename: K
authors.initials: K
authors.lastname: Matsumoto
mesh_terms: D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D015225:Magnetoencephalography; D016571:Neural Networks, Computer