Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: Inter-subject variability

By S. Gonçalves, J. D. Munck, Petra J. W. Pouwels, R. Schoonhoven, J. Kuijer, Natasha M. Maurits, J. Hoogduin, Eus J. W. van Someren, R. Heethaar, F. D. Silva. NeuroImage, 2006

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Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans (2010, positive): “While other factors, including vasomotion, can contribute towards the BOLD signal in addition to the local hemodynamics associated with the neural activity, there is mounting evidence suggesting neural and behavioral relevance of the LFFs (Goldman et al., 2002; Gonçalves et al., 2006; Liu et al., 20”
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? (2016, background): “…coordination between BOLDfMRI time series covaries with electrophysiological processes, thereby extending studies that investigate electrophysiological correlates, for example, EEG alpha power (Laufs et al., 2003; Moosmann et al., 2003; Gonçalves et al., 2006), of individual BOLD-fMRI time series.”
Dynamic functional connectivity: Promise, issues, and interpretations (2013, background): “For example, while some studies report a positive correlation between alpha power fluctuations and BOLD signals in the DMN (Mantini et al., 2007), others reported either weak or no correlation (Gonçalves et al., 2006; Knyazev et al., 2011; Laufs et al., 2003; Wu et al., 2010).”
BOLD correlates of EEG alpha phase-locking and the fMRI default mode network (2009, background): “These differing results are partly explained by the work of Goncalves et al. (2006).”