title: Localization of somatosensory evoked potentials in primary somatosensory cortex: a comparison between PCA and MUSIC.
abstract: The aim of this study was to test source modeling strategies for EEG-data from a clinical group of amputees. The experimental conditions (measuring time, age and condition of the patients) resulted in low quality EEG-data. Noise reduction was achieved by a principal component analysis (PCA) and a multiple signal classification (MUSIC). A comparison of the results of these two methods with traditional signal handling yielded superior results for the MUSIC algorithm.
authors.affiliation: Department of Psychology, Humboldt-University Berlin, Germany. muehlnickel@rz.hu-berlin.de
authors.forename: W
authors.initials: W
authors.lastname: Mühlnickel
authors.forename: W
authors.initials: W
authors.lastname: Lutzenberger
authors.forename: H
authors.initials: H
authors.lastname: Flor
mesh_terms: D000368:Aged; D000674:Amputees; D001132:Arm; D001931:Brain Mapping; D004569:Electroencephalography; D005073:Evoked Potentials, Somatosensory / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008959:Models, Neurological; D009462:Neurology / Q000379:methods; D010591:Phantom Limb / Q000503:physiopathology; D015398:Signal Transduction / Q000502:physiology; D013003:Somatosensory Cortex / Q000503:physiopathology*