title: Combined EMD-sLORETA Analysis of EEG Data Collected during a Contour Integration Task.
abstract: Lately, Ensemble Empirical Mode Decomposition (EEMD) techniques receive growing interest in biomedical data analysis. Event-Related Modes (ERMs) represent features extracted by an EEMD from electroencephalographic (EEG) recordings. We present a new approach for source localization of EEG data based on combining ERMs with inverse models. As the first step, 64 channel EEG recordings are pooled according to six brain areas and decomposed, by applying an EEMD, into their underlying ERMs. Then, based upon the problem at hand, the most closely related ERM, in terms of frequency and amplitude, is combined with inverse modeling techniques for source localization. More specifically, the standardized low resolution brain electromagnetic tomography (sLORETA) procedure is employed in this work. Accuracy and robustness of the results indicate that this approach deems highly promising in source localization techniques for EEG data.
authors.affiliation: Department of Biology, Institute of Biophysics, University of Regensburg, Regensburg, Germany.|Department of Linguistics, Literature and Culture, Institute of Information Science, University of Regensburg, Regensburg, Germany.
authors.forename: Karema
authors.initials: K
authors.lastname: Al-Subari
authors.affiliation: Department of Biology, Institute of Biophysics, University of Regensburg, Regensburg, Germany.|Department of Linguistics, Literature and Culture, Institute of Information Science, University of Regensburg, Regensburg, Germany.
authors.forename: Saad
authors.identifier: http://orcid.org/0000-0001-7440-0224
authors.initials: S
authors.lastname: Al-Baddai
authors.affiliation: Department of Electrical Engineering, Telecommunication and Informatics, Institut of Electrical Engineering and Electronics, Universidade de Aveiro, Aveiro, Portugal.
authors.forename: Ana Maria
authors.initials: AM
authors.lastname: Tomé
authors.affiliation: Department of Psychology, Pedagogics and Sport, Institute of Experimental Psychology, University of Regensburg, Regensburg, Germany.
authors.forename: Gregor
authors.initials: G
authors.lastname: Volberg
authors.affiliation: Department of Linguistics, Literature and Culture, Institute of Information Science, University of Regensburg, Regensburg, Germany.
authors.forename: Bernd
authors.initials: B
authors.lastname: Ludwig
authors.affiliation: Department of Biology, Institute of Biophysics, University of Regensburg, Regensburg, Germany.
authors.forename: Elmar W
authors.initials: EW
authors.lastname: Lang
mesh_terms: D000328:Adult; D001921:Brain / Q000000981:diagnostic imaging / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods; D003625:Data Collection; D004569:Electroencephalography / Q000379:methods*; D005071:Evoked Potentials; D005260:Female; D006801:Humans; D008297:Male; D013647:Task Performance and Analysis; D014054:Tomography / Q000379:methods*; D055815:Young Adult