Left: Neural activity across the dorsal surface of the awake mouse brain (imaged via Thy1-GCaMP6f expression in excitatory neurons). Middle: Same neural activity as left, but low pass filtered in time at 0.4 Hz to show slowly varying component. Right: Hemodynamics in the brain 1.2 seconds later (total hemoglobin concentration) showing the same spatiotemporal patterns represented. These patterns of spontaneous neural activity can predict slow changes in hemodynamics, that are likely the same as those detected in functional magnetic resonance imaging. We infer that this neural activity represents a neural basis for resting state functional connectivity mapping.