Multimodal analysis of resting state cortical activity: what does EEG add to our knowledge of resting state BOLD networks?

摘要

In this issue, two manuscripts present evidence that resting state fMRI networks (RSN) can be identified as correlates of so-called EEG microstates (Britz et al., 2010; Musso et al., 2010). Of note, fMRI-identified RSN exhibiting "infra-slow" activity fluctuations-usually with a period of above 10s-while the EEG microstates represent approximately 100 ms of EEG (Koenig et al., 2002; Lehmann and Skrandies, 1980). Assuming four to ten different microstates identifiable during rest an estimated average recurrence rate of between once and twice per second can thus be expected. Hence, the work by Musso et al. and Britz et al. could be seen as an example of how EEG recorded simultaneously with fMRI can add highly resolved temporal information to the fMRI data.