Topographical mapping of brain electrical activity

Author

Law, S.K. ; Nunez, P.L. ; Westdorp, A.F. ; Nelson, A.V. ; Pilgreen, K.L.

Author_Institution

Dept. of Biomed. Eng., Tulane Univ., New Orleans, LA, USA

fYear

1991

fDate

22-25 Oct 1991

Firstpage

194

Lastpage

201

Abstract

Current topographical mapping methods and problems associated with mapping are reviewed, and one approach for improving the spatial resolution of scalp recorded EEGs is detailed. In particular, techniques for interpolating the potential distribution and estimating the surface Laplacian from multichannel data are presented and applied to human evoked potential data. Although developed for electroencephalographic data, these spline algorithms can be applied to a variety of fields where visualization of spatial information is desired

Keywords

bioelectric potentials; brain; computer graphics; computerised picture processing; electroencephalography; interpolation; medical computing; splines (mathematics); brain electrical activity; electroencephalographic data; human evoked potential data; interpolation; multichannel data; potential distribution; scalp recorded EEGs; spatial information visualization; spatial resolution; spline algorithms; surface Laplacian; topographical mapping; Biomedical engineering; Brain; Data visualization; Electroencephalography; Humans; Physics; Psychology; Scalp; Spatial resolution; Surface topography;

fLanguage

English

Publisher

ieee

Conference_Titel

Visualization, 1991. Visualization '91, Proceedings., IEEE Conference on

Conference_Location

San Diego, CA

Print_ISBN

0-8186-2245-8

Type

conf

DOI

10.1109/VISUAL.1991.175800

Filename

175800