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Neural connections, providing the substrate for functional networks, exist whether or not they are functionally active at any given moment. However, it is not known to what extent brain regions are continuously interacting when the brain is "at rest". In this work we identify the major explicit activation networks by carrying out the first image-based activation network analysis of thousands of separate activation maps derived from the BrainMap database of functional imaging studies, involving nearly thirty thousand human subjects. Independently, we extract the major covarying networks in the resting brain, as imaged with functional magnetic resonance imaging in thirty-six subjects at rest. The sets of major brain networks, and their decompositions into sub-networks, show close correspondence between the independent analyses of resting and activation brain dynamics. We conclude that the full repertoire of functional networks utilised by the brain in action is continuously and dynamically "active" even when "at rest".