title: Comparison and improvements of LCMV and MUSIC source localization techniques for use in real clinical environments.
abstract: The present work shows some improvements realized on practical aspects of the implementation of Singular Value Decomposition (SVD) methods to localize the sources of neural activity by means of magnetoencephalograph (MEG). Two methods have been improved and compared i.e. a spatial filter, the Linearly Constrained Minimum Variance Beamformer (LCMV) method, and a signal subspace method that is an implementation of the MUSIC (Multiple Signal Classification) method due to Mosher et al. (1992). It also shows the performance of both methods comparing three different averaging procedures. The influence of the correct selection of the noise subspace dimension has been analyzed. Using acoustic stimulus for real patient measurements, we discuss the relevant differences of both methods and propose an adequate strategy for future diagnosis based on correct source localization.
authors.affiliation: Instituto de Magnetismo Aplicado, Nacional VI Km 22,500, Apartado de Correos 155, 28230 Las Rozas, Madrid, Spain. adehoyos@externos.adif.es
authors.forename: A de
authors.initials: Ad
authors.lastname: Hoyos
authors.forename: J
authors.initials: J
authors.lastname: Portillo
authors.forename: I
authors.initials: I
authors.lastname: Portillo
authors.forename: P
authors.initials: P
authors.lastname: Marín
authors.forename: F
authors.initials: F
authors.lastname: Maestú
authors.forename: J
authors.initials: J
authors.lastname: Poch-Broto
authors.forename: T
authors.initials: T
authors.lastname: Ortiz
authors.forename: Antonio
authors.initials: A
authors.lastname: Hernando
mesh_terms: D000328:Adult; D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods*; D008959:Models, Neurological; D012815:Signal Processing, Computer-Assisted