4.8 Article

Consciousness-specific dynamic interactions of brain integration and functional diversity

Journal

NATURE COMMUNICATIONS
Volume 10, Issue -, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-019-12658-9

Keywords

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Funding

  1. UK Medical Research Council [U.1055.01.002.00001.01]
  2. James S. McDonnell Foundation
  3. Canada Excellence Research Chairs program [215063]
  4. Canadian Institute for Advanced Research (CIFAR)
  5. The National Institute for Health Research (NIHR, UK)
  6. Cambridge Biomedical Research Centre
  7. NIHR Senior Investigator Awards
  8. British Oxygen Professorship of the Royal College of Anaesthetists
  9. Cambridge International Trust
  10. Oon Khye Beng Ch'Hia Tsio Studentship for Research in Preventive Medicine, Downing College, University of Cambridge
  11. The Evelyn Trust, Cambridge
  12. EoE CLAHRC fellowship
  13. L'Oreal-Unesco for Women in Science Excellence Research Fellowship
  14. Stephen Erskine Fellowship, Queens' College, University of Cambridge
  15. Gates Cambridge Trust
  16. NIHR Brain Injury Healthcare Technology Cooperative based at Cambridge University Hospitals NHS Foundation Trust
  17. MRC [MR/M009041/1]
  18. Howard Sidney Sussex Studentship
  19. University of Cambridge
  20. MRC [MR/M024873/1, MR/M009041/1] Funding Source: UKRI

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Prominent theories of consciousness emphasise different aspects of neurobiology, such as the integration and diversity of information processing within the brain. Here, we combine graph theory and dynamic functional connectivity to compare resting-state functional MRI data from awake volunteers, propofol-anaesthetised volunteers, and patients with disorders of consciousness, in order to identify consciousness-specific patterns of brain function. We demonstrate that cortical networks are especially affected by loss of consciousness during temporal states of high integration, exhibiting reduced functional diversity and compromised informational capacity, whereas thalamo-cortical functional disconnections emerge during states of higher segregation. Spatially, posterior regions of the brain's default mode network exhibit reductions in both functional diversity and integration with the rest of the brain during unconsciousness. These results show that human consciousness relies on spatio-temporal interactions between brain integration and functional diversity, whose breakdown may represent a generalisable biomarker of loss of consciousness, with potential relevance for clinical practice.

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