INDEPENDENT COMPONENT ANALYSIS FOR EEG SOURCE LOCALIZATION IN REALISTIC HEAD MODELS
Leonid E. Zhukov, David M. Weinstein, Chris R. Johnson · 1999
A pervasive problem in neuroscience is determining which regions of the brain are active, given voltage measurements at the scalp. If accurate solutions to such problems could be obtained, neurologists would gain non-invasive access to patient-specific cortical activity. Access to such data would ultimately increase the number of patients who could be e#ectively treated for neural pathologies such as multi-focal epilepsy. However, estimating the location and distribution of electric current source within the brain from electroencephalographic (EEG) recordings is an ill-posed problem. Specifically, there is no unique solution and solutions do not depend continuously on the data. The ill-posedness of the problem makes finding the correct solution a challenging analytic and computational problem. In this paper we consider a spatio-temporal method for sources localization, taking advantage of the entire EEG time series to reduce the configuration space we must evaluate. The EEG data is fir...