Whole-brain imaging methods such as functional Magnetic Resonance Imaging (fMRI) are widely used to examine intrinsic and task-evoked patterns of coordinated brain activity in humans. However, the application of task-based fMRI in preclinical species is complicated by the need to constrain animals within the scanner small bore. Recently, functional ultrasound imaging (fUS) has emerged as a promising technology to fill this gap, enabling neuroimaging investigations of the entire brain in behaving animals. To explore the potential of fUS, and demonstrate its validity against well-established techniques, we investigated its capability to map previously described resting-state functional networks in lightly sedated mice. For this purpose, we carried out multislice fUS acquisitions in lightly sedated mice using various anaesthetic mixtures. A preprocessing pipeline, reflecting the primary steps employed in fMRI timeseries analysis, has been designed for robustness and portability. The results obtained have been compared with the underlying structural connectome. We found that large-scale functional brain networks can be reliably mapped at the group level with fUS. The networks mapped include also a default mode network, which we found to be anticorrelated with a latero-cortical system. While overall network topography appears to be consistent across different sedation protocols, we show that a novel combination of anesthetics provides optimal fUS network detection without the need to use complex animal preparation procedures. Our results show that fUS can be effectively used to detect distributed resting-state networks in anaesthetized rodents comparable to well-established imaging modalities, such as fMRI.