Graph models of brain state in deep anesthesia reveal sink state dynamics of reduced spatiotemporal complexity.

ABSTRACT: Anesthetisia is an important surgical and explorative tool in the study of consciousness. Much work has been done to connect the deeply anesthetized condition with decreased complexity. However, anesthesia-induced unconsciousness is also a dynamic condition in which functional activity and complexity may fluctuate, being perturbed by internal or external (e.g., noxious) stimuli. We use fMRI data from a cohort undergoing deep propofol anesthesia to investigate resting state dynamics using dynamic brain state models and spatiotemporal network analysis. We focus our analysis on group-level dynamics of brain state temporal complexity, functional activity, connectivity, and spatiotemporal modularization in deep anesthesia and wakefulness. We find that in contrast to dynamics in the wakeful cond

SUBMITTER: Wilsenach JB 

PROVIDER: S-EPMC12594487 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature