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Title: Multiple dipole modeling of spatio-temporal MEG (magnetoencephalogram) data

Conference ·
OSTI ID:6772823
 [1];  [2];  [3];  [4]
  1. TRW Defense Systems Group, Redondo Beach, CA (USA). Systems Engineering and Development Div. University of Southern California, Los Angeles, CA (USA). Signal and Image Processing Inst.
  2. Los Alamos National Lab., NM (USA)
  3. University of Southern California, Los Angeles, CA (USA). Signal and Image Processing Inst.
  4. University of Southern Californi

An array of SQUID biomagentometers may be used to measure the spatio-temporal neuromagnetic field produced by the brain in response to a given sensory stimulus. A popular model for the neural activity that produces these fields is a set of current dipoles. We present here a common linear algebraic framework for three common spatio-temporal dipole models: moving and rotating dipoles, rotating dipoles with fixed location, and dipoles with fixed orientation and location. Our intent here is not to argue the merits of one model over another, but rather show how each model may be solved efficiently, and within the same framework as the others. In all cases, we assume that the location, orientation, and magnitude of the dipoles are unknown. We present the parameter estimation problem for these three models in a common framework, and show how, in each case, the problem may be decomposed into the estimation of the dipole locations using nonlinear minimization followed by linear estimation of the associated moment time series. Numerically efficient means of calculating the cost function are presented, and problems of model order selection and missing moments are also investigated. The methods described are demonstrated in a simulated application to a three dipole problem. 21 refs., 2 figs., 1 tab.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
DOE/ER
DOE Contract Number:
W-7405-ENG-36
OSTI ID:
6772823
Report Number(s):
LA-UR-90-2157; CONF-9007117-1; ON: DE90013154
Resource Relation:
Conference: SPIE conference on mathematical imaging, San Diego, CA (USA), Jul 1990
Country of Publication:
United States
Language:
English