title: swLORETA: a novel approach to robust source localization and synchronization tomography.
abstract: Standardized low-resolution brain electromagnetic tomography (sLORETA) is a widely used technique for source localization. However, this technique still has some limitations, especially under realistic noisy conditions and in the case of deep sources. To overcome these problems, we present here swLORETA, an improved version of sLORETA, obtained by incorporating a singular value decomposition-based lead field weighting. We show that the precision of the source localization can further be improved by a tomographic phase synchronization analysis based on swLORETA. The phase synchronization analysis turns out to be superior to a standard linear coherence analysis, since the latter cannot distinguish between real phase locking and signal mixing.
authors: Institute for Medicine and Virtual Institute of Neuromodulation, Research Center Jülich, Leo-Brand-Street, 52425 Jülich, Germany. e.palmero@fz-juelich.de
authors: Ernesto
authors: E
authors: Palmero-Soler
authors: Kevin
authors: K
authors: Dolan
authors: Volker
authors: V
authors: Hadamschek
authors: Peter A
authors: PA
authors: Tass
mesh_terms: D001921:Brain / Q000473:pathology*; D003198:Computer Simulation; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods*; D055590:Electromagnetic Phenomena; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008959:Models, Neurological; D015233:Models, Statistical; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D012984:Software; D013997:Time Factors; D014054:Tomography / Q000295:instrumentation / Q000379:methods*