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Abstract: Previous studies using simultaneous EEG and fMRI recordings have yielded discrepant results regarding the topography of brain activity in relation to spontaneous power fluctuations in the alpha band of the EEG during eyes-closed rest. Here, we explore several possible explanations for this discrepancy by re-analyzing in detail our previously reported data. Using single subject analyses as a starting point, we found that alpha power decreases are associated with fMRI signal increases that mostly follow two distinct patterns: either ‘visual’ areas in the occipital lobe or ‘attentional’ areas in the frontal and parietal lobe. On examination of the EEG spectra corresponding to these two fMRI patterns, we found greater relative theta power in sessions yielding the ‘visual’ fMRI pattern during alpha desynchronization and greater relative beta power in sessions yielding the ‘attentional’ fMRI pattern. The few sessions that fell into neither pattern featured the overall lowest theta and highest beta power. We conclude that the pattern of brain activation observed during spontaneous power reduction in the alpha band depends on the general level of brain activity as indexed over a broader spectral range in the EEG. Finally, we relate these findings to the concepts of ‘resting state’ and ‘default mode’ and discuss how – as for sleep – EEG-based criteria might be used for staging brain activity during wakefulness. [Copyright &y& Elsevier]