Large-scale signatures of unconsciousness are consistent with a departure from critical dynamics

TL;DR

This study links unconsciousness to a departure from critical brain dynamics, showing reduced temporal correlations and connectivity, supported by a phase transition model that explains these universal neural changes.

Contribution

It introduces a phase transition model that unifies empirical observations of brain dynamics during unconsciousness, highlighting a universal mechanism.

Findings

Reduced long-range temporal correlations during unconsciousness

Departure of functional connectivity from anatomical constraints

Model reproduces observed brain dynamics and reduced cortical sensitivity

Abstract

Loss of cortical integration and changes in the dynamics of electrophysiological brain signals characterize the transition from wakefulness towards unconsciousness. The common mechanism underlying these observations remains unknown. In this study we arrive at a basic model, which explains these empirical observations based on the theory of phase transitions in complex systems. We studied the link between spatial and temporal correlations of large-scale brain activity recorded with functional magnetic resonance imaging during wakefulness, propofol-induced sedation and loss of consciousness, as well as during the subsequent recovery. We observed that during unconsciousness activity in frontal and thalamic regions exhibited a reduction of long-range temporal correlations and a departure of functional connectivity from the underlying anatomical constraints. These changes in dynamics and anatomy-function coupling were correlated across participants, suggesting that temporal complexity and an efficient exploration of anatomical connectivity are inter-related phenomena. A model of a system exhibiting a phase transition reproduced our findings, as well as the diminished sensitivity of the cortex to external perturbations during unconsciousness. This theoretical framework unifies different empirical observations about brain activity during unconsciousness and predicts that the principles we identified are universal and independent of the causes behind loss of awareness.