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Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep

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  • Gustavo Deco, Theoretical and Computational Neuroscience Group, Center of Brain and Cognition, Universitat Pompeu Fabra, 08018 Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain.
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  • Enzo Tagliazucchi, Department of Neurology and Brain Imaging Center, Goethe University Frankfurt am Main, Frankfurt am Main 60528, Germany.
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  • Helmut Laufs, Department of Neurology, Christian Albrechts University Kiel, Kiel 24104, Germany.
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  • Ana Sanjuán, Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona 08018, Spain. Electronic address: tristan.nakagawa@upf.edu.
  • ,
  • Morten L Kringelbach

A precise definition of a brain state has proven elusive. Here, we introduce the novel local-global concept of intrinsic ignition characterizing the dynamical complexity of different brain states. Naturally occurring intrinsic ignition events reflect the capability of a given brain area to propagate neuronal activity to other regions, giving rise to different levels of integration. The ignitory capability of brain regions is computed by the elicited level of integration for each intrinsic ignition event in each brain region, averaged over all events. This intrinsic ignition method is shown to clearly distinguish human neuroimaging data of two fundamental brain states (wakefulness and deep sleep). Importantly, whole-brain computational modelling of this data shows that at the optimal working point is found where there is maximal variability of the intrinsic ignition across brain regions. Thus, combining whole brain models with intrinsic ignition can provide novel insights into underlying mechanisms of brain states.

Original languageEnglish
Number of pages12
Publication statusPublished - 3 Oct 2017

    Research areas

  • Journal Article

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