Low-level states of consciousness are characterized by disruptions of brain activity that
sustain arousal and awareness. Yet, how structural, dynamical, local and network brain
properties interplay in the different levels of consciousness is unknown. Here, we study fMRI
brain dynamics from patients that suffered brain injuries leading to a disorder of consciousness and from healthy subjects undergoing propofol-induced sedation. We show that
pathological and pharmacological low-level states of ...
Low-level states of consciousness are characterized by disruptions of brain activity that
sustain arousal and awareness. Yet, how structural, dynamical, local and network brain
properties interplay in the different levels of consciousness is unknown. Here, we study fMRI
brain dynamics from patients that suffered brain injuries leading to a disorder of consciousness and from healthy subjects undergoing propofol-induced sedation. We show that
pathological and pharmacological low-level states of consciousness display less recurrent,
less connected and more segregated synchronization patterns than conscious state. We use
whole-brain models built upon healthy and injured structural connectivity to interpret these
dynamical effects. We found that low-level states of consciousness were associated with
reduced network interactions, together with more homogeneous and more structurally
constrained local dynamics. Notably, these changes lead the structural hub regions to lose
their stability during low-level states of consciousness, thus attenuating the differences
between hubs and non-hubs brain dynamics.
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