A new method captures the brain dynamics unique to each person's subjective experience. Using fMRI while people listened to a story awake and under different levels of anaesthesia, the approach tracks moment-to-moment changes in functional connectivity without assuming common brain states across individuals. The default mode network's dynamics were more dissimilar between conscious participants, reflecting personal engagement with the story. In contrast, the auditory and posterior dorsal attention networks showed higher similarity across conscious individuals, supporting more generalizable experiences. Conscious brain dynamics were more complex for individual-specific patterns but less complex for shared patterns.
The diversity of brain dynamics within small-world network topology, measured as sample entropy (dSW-E), consistently predicts levels of awareness across sedation and disorders of consciousness, even after accounting for underlying functional connectivity dynamics. Both subcortical and cortical areas show predictive value, but subcortical regions exhibit higher and more robust effect sizes. The dynamic reorganization of the functional information architecture, especially in the subcortex, emerges with awareness and offers explanatory power beyond the complexity of dynamic functional connectivity alone.