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Distributed harmonic patterns of structure-function dependence orchestrate human consciousness.

Andrea I Luppi^1,2,3, Jakub Vohryzek^4,5,6, Morten L Kringelbach^4,5

¹Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK. al857@cam.ac.uk.

Communications Biology

|January 29, 2023

Summary

This summary is machine-generated.

Consciousness depends on brain structure and function. Analyzing brain networks reveals how structure-function coupling indicates consciousness, distinguishing states like anesthesia, brain injury, and psychedelic experiences.

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Area of Science:

Neuroscience
Systems Neuroscience
Computational Neuroscience

Background:

Understanding consciousness requires exploring the relationship between brain structure and function.
Functional magnetic resonance imaging (fMRI) and structural connectomics offer tools to investigate brain network dynamics.

Purpose of the Study:

To investigate how brain structure-function coupling relates to different states of consciousness.
To identify biomarkers of consciousness using connectome harmonic decomposition.

Main Methods:

Decomposition of fMRI signals using harmonic modes of the human structural connectome.
Analysis of structure-function dependence across various states: anesthesia, brain injury, and psychedelic drug administration (LSD, ketamine).

Main Results:

Structure-function coupling is a generalizable indicator of consciousness, modulated by neuromodulators.
Increased coupling observed during loss of consciousness (anesthesia, brain injury), aiding in differentiating patient states and detecting covert consciousness.
Psychedelic states (LSD, ketamine) show decreased coupling, correlating with subjective and physiological measures.

Conclusions:

Connectome harmonic decomposition provides insights into how neuromodulation and network architecture shape consciousness.
This approach reveals distinct network signatures associated with different states of consciousness, offering potential diagnostic and research applications.