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Capturing the non-stationarity of whole-brain dynamics underlying human brain states

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • J. A. Galadí, University of Seville, Pompeu Fabra University
  • ,
  • S. Silva Pereira, Pompeu Fabra University
  • ,
  • Y. Sanz Perl, Universidad de Buenos Aires, Universidad Favaloro
  • ,
  • M. L. Kringelbach
  • I. Gayte, University of Seville
  • ,
  • H. Laufs, Kiel University
  • ,
  • E. Tagliazucchi, Universidad de Buenos Aires
  • ,
  • J. A. Langa, University of Seville
  • ,
  • G. Deco, Pompeu Fabra University

Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human brain through a novel mathematical formalism that allows us characterise the attractor structure, i.e. the stationary points and their connections. Due to its time-varying nature, the structure of the global attractor and the corresponding number of energy levels changes over time. We apply this formalism to distinguish quantitatively between the different human brain states of wakefulness and different stages of sleep, as a step towards future clinical applications.

Original languageEnglish
Article number118551
JournalNeuroImage
Volume244
Number of pages17
ISSN1053-8119
DOIs
Publication statusPublished - Dec 2021

    Research areas

  • Attractors, Brain dynamics, Consciousness, Energy levels, Model transform, Sleep

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