Segmenting BOLD Signal at Rest Through EEG Microstates. A novel analysis approach to explore Spontaneous Fluctuation of Brain Activity using combined EEG/fMRI
Instead we opted for the analysis of shorter, transient EEG events, which identify and quantify brain electric microstates as sub-second time epochs with stable field topography (Lehmann 1987). Since microstates might reflect global functional states we used them as regressors to analyze the spontan...
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Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 2009-07, Vol.47, p.S82-S82 |
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creator | Musso, F Brinkmeyer, J Mobascher, A Warbrick, T Winterer, G |
description | Instead we opted for the analysis of shorter, transient EEG events, which identify and quantify brain electric microstates as sub-second time epochs with stable field topography (Lehmann 1987). Since microstates might reflect global functional states we used them as regressors to analyze the spontaneous BOLD fluctuations during relaxed wakefulness. |
doi_str_mv | 10.1016/S1053-8119(09)70597-X |
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source | Elsevier ScienceDirect Journals Complete - AutoHoldings; ProQuest Central UK/Ireland |
subjects | Electroencephalography Studies |
title | Segmenting BOLD Signal at Rest Through EEG Microstates. A novel analysis approach to explore Spontaneous Fluctuation of Brain Activity using combined EEG/fMRI |
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