Dynamical structure-function correlations provide robust and generalizable signatures of consciousness in humans
Pablo Castro1,2, Andrea Luppi3,4, Enzo Tagliazucchi5,6,7
1Institute of Neuroscience (NeuroPSI), Paris-Saclay University, Centre National de la Recherche Scientifique (CNRS), Gif-sur-Yvette, France.
Communications Biology
|September 30, 2024
Summary
Conscious brain activity shows rich dynamics, unlike unconscious states which are dominated by a single pattern. This finding reveals key differences in brain dynamics between conscious and unconscious states.
Area of Science:
- Neuroscience
- Cognitive Science
Background:
- Resting-state functional magnetic resonance imaging (rs-fMRI) reveals dynamic functional connectivity patterns.
- These patterns may reflect ongoing cognition and conscious awareness.
Purpose of the Study:
- Investigate dynamic brain states as robust markers for consciousness.
- Examine brain activity during general anesthesia and slow-wave sleep to understand consciousness loss.
Main Methods:
- Clustering of transient functional connectivity states.
- Analysis of brain activity during induced unconsciousness (anesthesia, sleep).
Main Results:
- Unconscious states exhibit a dominant, recurrent pattern mediated by structural connectivity.
- Reduced capacity for state transitions observed during unconsciousness.
- Conscious states characterized by rich brain dynamics, measured by entropy.
Conclusions:
- Significant differences exist in whole-brain dynamics between conscious and unconscious states.
- Richness of brain dynamics (entropy) is crucial for conscious awareness.
- Findings may inform understanding of consciousness and identify generalizable signatures of awareness.
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