Unconsciousness reconfigures modular brain network dynamics

The dynamic core hypothesis posits that consciousness is correlated with simultaneously integrated and differentiated assemblies of transiently synchronized brain regions. We represented time-dependent functional interactions using networks assessed the integrity by means size flexibility largest multilayer module. As a first step, we constrained parameter selection newly developed benchmark for module detection in heterogeneous temporal networks. Next, applied modularity maximization algorithm to computed from magnetic resonance imaging (fMRI) data acquired during deep sleep under propofol anesthesia. found unconsciousness reconfigured network reduced spatiotemporal module, which identified core. Our results represent characterization modular dynamics states measured fMRI, adding support human consciousness.