1. On the dependence of independent group EEG sources: an EEG study on two large databases
- Author
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Robert Isenhart, Marco Congedo, Roy E. John, Leslie S. Prichep, Dirk De Ridder, GIPSA - Vision and Brain Signal Processing (GIPSA-VIBS), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Brain Research Laboratory (BRL), New York University School of Medicine, NYU System (NYU)-NYU System (NYU), Brain Research centre Antwerp for Innovative and Interdisciplinary Neuromodulation (BRAI²N), Antwerp University Hospital [Edegem] (UZA), and Open-ViBE
- Subjects
Adult ,Independent group ,Periodicity ,Adolescent ,Rest ,Electroencephalography ,computer.software_genre ,Blind signal separation ,In-Phase Coherence ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Neural Pathways ,medicine ,Coherence (signal processing) ,Humans ,Radiology, Nuclear Medicine and imaging ,Resting eeg ,Fourier domain ,030304 developmental biology ,Blind Source Separation (BSS) ,0303 health sciences ,Brain Mapping ,Connectivity ,Radiological and Ultrasound Technology ,Database ,medicine.diagnostic_test ,Fourier Analysis ,[SCCO.NEUR]Cognitive science/Neuroscience ,Brain ,Signal Processing, Computer-Assisted ,Independent Component Analysis (ICA) ,Large sample ,Out- Of-Phase Coherence ,Neurology ,Databases as Topic ,Neurology (clinical) ,Volume conduction ,Human medicine ,Anatomy ,Psychology ,computer ,030217 neurology & neurosurgery ,Algorithms - Abstract
International audience; The aim of this work is to study the coherence profile (dependence) of robust eyes-closed resting EEG sources isolated by group blind source separation (gBSS). We employ a test-retest strategy using two large sample normative databases (N = 57 and 84). Using a BSS method in the complex Fourier domain, we show that we can rigourously study the out-of-phase dependence of the extracted components, albeit they are extracted so as to be in-phase independent (by BSS definition). Our focus on lagged communication between components effectively yields dependence measures unbiased by volume conduction effects, which is a major concern about the validity of any dependence measures issued by EEG measurements. We are able to show the organization of the extracted components in two networks. Within each network components oscillate coherently with multiple-frequency dynamics, whereas between networks they exchange information at non-random multiple time-lag rates.
- Published
- 2010