Source localization algorithm based on topographic matching pursuit

Halbleib, Andreas GND; Strohmeier, Daniel; Gratkowski, Maciej; Haueisen, Jens GND

Spatio-temporal decomposition methods in combination with source localization algorithms can contribute to an improved description and allocation of neural activity from electrical and magnetic multichannel measurements. We introduce a new algorithm, which combines Topographic Matching Pursuit as spatio-temporal decomposition method with a dipole-source localization. The new algorithm is applied to EEG-data obtained from a photic driving experiment with eleven volunteers. In comparison to a hitherto published Multichannel Matching Pursuit (MMP) source localization the new algorithm shows, for a Mirrored-Dipole configuration, higher Goodness-of-Fit values, if temporal asynchrony exists in the EEG-channels. We conclude that the suggested algorithm is more appropriate for source reconstruction in case of temporal asynchrony than MMP-based procedures used so far.


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Halbleib, Andreas / Strohmeier, Daniel / Gratkowski, Maciej / et al: Source localization algorithm based on topographic matching pursuit. 2010.

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This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.