EEG and MEG source localization using recursively applied (RAP) MUSIC
- Los Alamos National Lab., NM (United States)
- University of Southern California, Los Angeles, CA (United States). Signal and Image Processing Inst.
The multiple signal characterization (MUSIC) algorithm locates multiple asynchronous dipolar sources from electroencephalography (EEG) and magnetoencephalography (MEG) data. A signal subspace is estimated from the data, then the algorithm scans a single dipole model through a three-dimensional head volume and computes projections onto this subspace. To locate the sources, the user must search the head volume for local peaks in the projection metric. Here we describe a novel extension of this approach which we refer to as RAP (Recursively APplied) MUSIC. This new procedure automatically extracts the locations of the sources through a recursive use of subspace projections, which uses the metric of principal correlations as a multidimensional form of correlation analysis between the model subspace and the data subspace. The dipolar orientations, a form of `diverse polarization,` are easily extracted using the associated principal vectors.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- National Insts. of Health, Bethesda, MD (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 442227
- Report Number(s):
- LA-UR-96-3889; CONF-9611134-1; ON: DE97002358
- Resource Relation:
- Conference: 13. annual conference on signals, systems, and computers, Pacific Grove, CA (United States), Nov 1996; Other Information: PBD: [1996]
- Country of Publication:
- United States
- Language:
- English
Similar Records
Interpretation of the MEG-MUSIC scan in biomagnetic source localization
Matrix kernels for MEG and EEG source localization and imaging
Related Subjects
BASIC STUDIES
99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
BRAIN
ELECTROENCEPHALOGRAPHY
HEAD
TOPOLOGICAL MAPPING
ELECTRIC DIPOLES
COMPUTERIZED SIMULATION
MAGNETIC DIPOLES
BIOLOGICAL LOCALIZATION
ALGORITHMS
MAGNETIC FIELDS
ELECTRIC FIELDS
MAXWELL EQUATIONS
LEAST SQUARE FIT
ELECTRIC DIPOLE MOMENTS
MAGNETIC DIPOLE MOMENTS
MATHEMATICAL MODELS
MATHEMATICAL SPACE
SPACE DEPENDENCE
VOLUME
MATRICES