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The human functional connectome has become synonymous with its fMRI heritage, which yields connectivity on the basis of extremely slow fluctuations of the hemodynamic signal. Recently however, these slow connectivity patterns have been complemented with fast connectivity from electrophysiological measures. In this talk, I will discuss synergistic investigations of the functional connectome that use multiple complimentary acquisition methods. This multi-modal approach has demonstrated that the connectome comprises both fast, oscillation-based connectivity observable in EEG, and extremely slow connectivity best captured with fMRI. While the fast and slow processes share spatial organization, these processes unfold in a temporally independent manner. Our findings suggest that equivalent dynamics are engaged across all timescales, but at different speeds. Infraslow and rapid connectivity of various frequency bands can thus be conceptualized as a multiplex of concurrent trajectories through a shared space of discrete connectome states. In conclusion, basic and translational research will benefit from comprehensively considering the full breadth of the functional connectome’s timescales.