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Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals

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  • Gerald Hahn, Pompeu Fabra University
  • ,
  • Gorka Zamora-López, Pompeu Fabra University
  • ,
  • Lynn Uhrig, NeuroSpin, Gif sur Yvette, Cedex, France., INSERM
  • ,
  • Enzo Tagliazucchi, Kiel University, Goethe University Frankfurt, Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas
  • ,
  • Helmut Laufs, Goethe University Frankfurt, Kiel University
  • ,
  • Dante Mantini, KU Leuven, IRCCS Fondazione Ospedale San Camillo - Venezia
  • ,
  • Morten L. Kringelbach
  • Bechir Jarraya, NeuroSpin, Gif sur Yvette, Cedex, France., INSERM, Universite Paris-Saclay, Foch Hospital
  • ,
  • Gustavo Deco, Pompeu Fabra University, ICREA, Max Planck Institute for Human Cognitive and Brain Sciences, Monash University

During the sleep-wake cycle, the brain undergoes profound dynamical changes, which manifest subjectively as transitions between conscious experience and unconsciousness. Yet, neurophysiological signatures that can objectively distinguish different consciousness states based are scarce. Here, we show that differences in the level of brain-wide signals can reliably distinguish different stages of sleep and anesthesia from the awake state in human and monkey fMRI resting state data. Moreover, a whole-brain computational model can faithfully reproduce changes in global synchronization and other metrics such as functional connectivity, structure-function relationship, integration and segregation across vigilance states. We demonstrate that the awake brain is close to a Hopf bifurcation, which naturally coincides with the emergence of globally correlated fMRI signals. Furthermore, simulating lesions of individual brain areas highlights the importance of connectivity hubs in the posterior brain and subcortical nuclei for maintaining the model in the awake state, as predicted by graph-theoretical analyses of structural data.

OriginalsprogEngelsk
Artikelnummer117470
TidsskriftNeuroImage
Vol/bind226
ISSN1053-8119
DOI
StatusUdgivet - feb. 2021

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