Correspondence Between Resting State Networks and EEG-Correlated FMRI Maps

نویسندگان

  • R. K. Niazy
  • G. A. Smith
  • C. J. Evans
  • R. G. Wise
چکیده

Introduction: Both functional magnetic resonance imaging (FMRI) and electroencephalography (EEG) show interesting and structured phenomena during rest; i.e. Resting State Networks (RSNs) in FMRI and rhythmic oscillations in EEG. In addition, many studies have now shown FMRI activation maps derived from EEG rhythms. Mantini el al. [1] have demonstrated that some temporal correlation exists between the average, scalp-wide EEG power in different bands, and some RSNs. Moreover, recent preliminary work of ours has shown widespread FMRI brain activation due to rhythmic activities in all EEG frequency bands, obtained by pre-decomposing the EEG data using Independent Component Analysis (ICA) [2]. However, there remains a question of whether these activations are of direct relation to RSNs. In this work, we show that EEG-correlated FMRI maps obtained under different conditions (eyes open and eyes closed), are spatially similar to different RSNs obtained from the same FMRI data.

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تاریخ انتشار 2008