The studies by Vidaurre et al. (1) and Vatansever et al. (2) in PNAS provide contrasting, yet complementary insights into the role that regions of transmodal cortex, including those in the default mode network (DMN) (3) and the fronto-parietal network (FPN) (4), play in cognition.Vatansever et al. (2) used task-based fMRI to illustrate how the DMN and FPN work collectively to guide complex behavior. In their study, participants performed the Wisconsin Card Sorting Task (WCST) (5) while brain activity was measured using fMRI. In this task, participants sort shapes based on features (color, shape, or number). The feature is not revealed to the participant at the outset of a block of trials, and must instead be learned based on feedback presented after each trial. The feedback is used to identify the current feature rule, which is then applied on subsequent trials. Periodically, the rule changes and feedback is used to update the current goal representation. Vatansever et al. (2) demonstrate that the FPN is active after a rule change-the "acquisition phase"-suggesting its involvement in encoding the contingencies upon which the sorting decision is based. In later sections of the block-the "application phase"-when the individual understands the rule, activity within the FPN is reduced, and activity within the DMN increases (Fig. 1A). Therefore, the activity within the DMN corresponds to periods when contingencies determining cognitive decisions are established. Additionally, and importantly, Vatansever et al. (2) show that patterns of increased DMN connectivity are also linked to better response latency during correct trials. Together, these results corroborate recent studies showing that the DMN supports external task processing when behavior depends on preexisting representations guiding cognition (6-9).Using resting-state fMRI data from the Human Connectome Project (10), Vidaurre et al. (1) apply a hidden Markov model (HMM) (11) that exploits the spatiotemporal patterns in activity to infer a number of different brain states. Vidaurre et al. (1) show that the time spent in each state, known as "fractional occupancy," remains consistent across different scanning sessions and is heritable. The ability to use HMMs to identify states based on intrinsic dynamics captured by fMRI constitutes an advance in our ability to characterize the nature of ongoing brain activity, providing an intuitive method for understanding how neurocognitive processing can be understood as a succession of neurocognitive states (12, 13).One observation emerging from the analysis of Vidaurre et al. (1) is that specific states are hierarchically organized, forming temporal groupings referred to as "metastates." These reflect a dissociation between states anchored by regions of the cortex concerned (2). (B) Metastates described using a HMM applied to resting-state fMRI data (1), as well as two example states from metastate 1 (Bottom Left) and metastate 2 (Bottom Right).