title: EEG spectral topography in neurology: I. A review of techniques.
abstract: As researchers investigate methods of automated interpretation of the electroencephalogram (EEG), spectral topography is emerging as an important and popular technique in applied clinical neurophysiology. Several computer-based EEG topography systems have been developed to produce topographic maps showing the spatial distributions of pre-defined frequency bands in the EEG. However, there is ongoing debate as to which technical approaches to EEG topography generate maps that can be most accurately interpreted by clinicians. This paper reviews existing topographic techniques, particularly as they apply to diagnostic neurology, and discusses some of the technical choices that must be addressed by topography users. These choices include the selection of montage, epoch length, interpolation scheme, graphical display method, and artifact removal technique. The points summarised here highlight the general opinion that although EEG topography has many benefits, it should be invoked with care and the user should possess an indepth understanding of the procedures used to produce the topographic maps.
authors.affiliation: Department of Electrical and Electronic Engineering, University of Canterbury, Christchurch, New Zealand.
authors.forename: B L
authors.initials: BL
authors.lastname: Satherley
authors.forename: R D
authors.initials: RD
authors.lastname: Jones
authors.forename: P J
authors.initials: PJ
authors.lastname: Bones
mesh_terms: D001698:Biomedical Engineering; D001931:Brain Mapping / Q000379:methods*; D004569:Electroencephalography / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans