The intrinsic flexibility of functional magnetic resonance imaging has allowed ever more innovative neuroscience applications. New acquisition and analysis techniques have contributed to improvements in detection sensitivity, as well as spatial and temporal resolution. Furthermore, by considering the dynamic evolution of the active brain areas in a network, computational models are making the first steps towards linking brain and mind.