Source localization using a current-density minimization approach.
Determining the location of cortical activity from electroencephalographic (EEG) data is important clinically. In this paper, a method is presented which uses the powerful optimization method of simulated annealing in conjunction with a finite-element-based model of the search domain for single-time slice solution of the EEG-inverse problem. The algorithm highlights a new objective function based on the current-density boundary integral associated with the finite-element formulation as the basis for parameter optimization. In two-dimensional experiments in a shallow tank containing saline, single dipoles are located within 2 mm. Simulations studying the algorithms response to structured noise are also presented. The new objective function is shown to take advantage of the natural framework associated with finite-elements and the results suggest that the approach is capable of resolving dipole locations in simulations and experiments.
Miga
Michael I
MI
Vanderbilt University, Department of Biomedical Engineering, Nashville, TN 37235, USA. Michael.I.Miga@Vanderbilt.edu
Kerner
Todd E
TE
Darcey
Terrance M
TM
D001931:Brain Mapping / Q000379:methods*; D002540:Cerebral Cortex / Q000502:physiology*; D004566:Electrodes; D004569:Electroencephalography / Q000379:methods*; D020342:Finite Element Analysis; D006801:Humans; D008959:Models, Neurological; D012680:Sensitivity and Specificity