The quest for EEG power band correlation with ICA derived fMRI resting state networks
| Autor: | Matthias C. Meyer, Christian F. Beckmann, Erik S.B. van Oort, Ronald J. Janssen, Markus Barth |
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| Přispěvatelé: | Faculty of Science and Technology, Magnetic Detection and Imaging |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
IHM
Frequency band Medizin Electroencephalography EEG-fMRI 150 000 MR Techniques in Brain Function lcsh:RC321-571 Correlation Behavioral Neuroscience medicine ICA Resting state GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Biological Psychiatry Original Research RSN Blood-oxygen-level dependent Resting state fMRI medicine.diagnostic_test Combined EEG-fMRI 220 Statistical Imaging Neuroscience Cognitive artificial intelligence ECP Electrophysiology Psychiatry and Mental health Brain Networks and Neuronal Communication [DI-BCB_DCC_Theme 4] Neuropsychology and Physiological Psychology Neurology Source modeling Functional magnetic resonance imaging Psychology Neuroscience |
| Zdroj: | Frontiers in Human Neuroscience, 7 Frontiers in Human Neuroscience, Vol 7 (2013) Frontiers in Human Neuroscience Frontiers in human neuroscience, 7(315):315. Frontiers Media S.A. |
| ISSN: | 1662-5161 |
| DOI: | 10.3389/fnhum.2013.00315 |
| Popis: | The neuronal underpinnings of blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) resting state networks (RSNs) are still unclear. To investigate the underlying mechanisms, specifically the relation to the electrophysiological signal, we used simultaneous recordings of electroencephalography (EEG) and fMRI during eyes open resting state (RS). Earlier studies using the EEG signal as independent variable show inconclusive results possibly due to variability in the temporal correlations between RSNs and power in the low EEG frequency band, as recently reported (Goncalves et al. 2006 and 2008, Meyer et al. (2013)). In this study we use three different methods, including one that uses RSN timelines as independent variable, to explore the temporal relationship of RSNs and EEG frequency power in eyes open RS in detail. The results of these three distinct analysis approaches support the hypothesis that the correlation between low EEG frequency power and BOLD RSNs is instable over time, at least in eyes open RS. |
| Databáze: | OpenAIRE |
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