Title :
Paired MEG data set source localization using recursively applied and projected (RAP) MUSIC
Author :
Ermer, J.J. ; Mosher, John C. ; Leahy, Richard M. ; Huang, Mingxiong
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
An important class of experiments in fractional brain mapping involves collecting pairs of data corresponding to separate "task" and "control" conditions. The data are then analyzed to determine what activity occurs during the task experiment but not in the control. Here we describe a new method for processing paired magnetoencephalographic (MEG) data sets using our recursively applied and projected multiple signal classification (RAP-MUSIC) algorithm. In this method the signal subspace of the task data is projected against the orthogonal complement of the control data signal subspace to obtain a subspace which describes activity unique to the task. A RAP-MUSIC localization search is then performed on this projected data to localize the sources which are active in the task but not in the control data.
Keywords :
image classification; magnetoencephalography; medical image processing; RAP MUSIC; activity; control condition; fractional brain mapping; orthogonal complement; paired MEG data set source localization; paired magnetoencephalographic data sets; recursively applied and projected MUSIC; signal subspace; task condition; Brain mapping; Covariance matrix; Data analysis; Image processing; Laboratories; Magnetic analysis; Magnetic separation; Multiple signal classification; Radiology; Statistical analysis;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.750879
