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Dynamic Connectivity Patterns in Conscious and Unconscious Brain.

Yuncong Ma, Christina Hamilton, Nanyin Zhang

Brain Connectivity February 2017 DOI: 10.1089/brain.2016.0464 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study Peer reviewed
Population Rats
Keywords Anesthetic-induced unconsciousness Dynamic functional connectivity Rat Resting-state networks
Key findings Whole-brain functional networks in rats contained several quasi-stable connectivity patterns that dynamically recurred from wakefulness into graded anesthetic states. Two connectivity states, differing in their spatial similarity to anatomical connectivity structure, were strongly biased toward high and low consciousness levels, respectively, which the authors present as evidence linking functional connectivity dynamics to consciousness at the behavioral level.

Abstract

Brain functional connectivity undergoes dynamic changes from the awake to unconscious states. However, how the dynamics of functional connectivity patterns are linked to consciousness at the behavioral level remains elusive. In this study, we acquired resting-state functional magnetic resonance imaging data during wakefulness and graded levels of consciousness in rats. Data were analyzed using a dynamic approach combining the sliding window method and k-means clustering. Our results demonstrate that whole-brain networks contained several quasi-stable patterns that dynamically recurred from the awake state into anesthetized states. Remarkably, two brain connectivity states with distinct spatial similarity to the structure of anatomical connectivity were strongly biased toward high and low consciousness levels, respectively. These results provide compelling neuroimaging evidence linking the dynamics of whole-brain functional connectivity patterns and states of consciousness at the behavioral level.

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