The discovery that the structural connectome serves as a compact representation of brain activity allowed us to apply compressed sensing to M/EEG source reconstruction of brain electrical activity. We show that the introduction of this biological constraint significantly increases the signal-to-noise ratio and spatial conspicuity of the reconstruction in human datasets. This significant gain in precision and accuracy could allow neuroscientists to extend their research beyond current limits.