Resting-state fMRI has been widely used to map brain network dynamics via sliding-window correlations between regional functional signals. Using frame-wise clustering of spontaneous BOLD fMRI, here we map the dynamics of brain-wide network activity in the mouse brain with voxel-resolution, at the subject and group level, without the need to use pre-imposed regional parcellation or correlation windows. This approach revealed a reproducible set of recurrent brain states encompassing previously defined functional connectivity networks, which happen at specific phases of global fMRI signal oscillations. Our results provide a novel interpretative framework for the emergence and organization of brain-wide network dynamics.
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