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Research ArticleNew Research, Integrative Systems

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

Gustavo Deco, Enzo Tagliazucchi, Helmut Laufs, Ana Sanjuán and Morten L. Kringelbach
eNeuro 15 September 2017, 4 (5) ENEURO.0106-17.2017; https://doi.org/10.1523/ENEURO.0106-17.2017
Gustavo Deco
1Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona 08018, Spain
2Institució Catalana de la Recerca i Estudis Avançats (ICREA), Universitat Pompeu Fabra, Barcelona 08010, Spain
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Enzo Tagliazucchi
3Institute for Medical Psychology, Christian Albrechts University Kiel, Kiel 24105, Germany
4Department of Neurology and Brain Imaging Center, Goethe University Frankfurt am Main, Frankfurt am Main 60528, Germany
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Helmut Laufs
4Department of Neurology and Brain Imaging Center, Goethe University Frankfurt am Main, Frankfurt am Main 60528, Germany
5Department of Neurology, Christian Albrechts University Kiel, Kiel 24104, Germany
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Ana Sanjuán
1Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona 08018, Spain
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Morten L. Kringelbach
6Department of Psychiatry, University of Oxford, Oxford OX3 7JX, United Kingdom
7Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Denmark
8Institut d’études Avancées de Paris, France
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0106-17.2017
PubMed 
28966977
Published By 
Society for Neuroscience
History 
  • Received March 25, 2017
  • Revision received August 20, 2017
  • Accepted August 29, 2017
  • Published online September 15, 2017.
Copyright & Usage 
Copyright © 2017 Deco et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Gustavo Deco1,2,
  2. Enzo Tagliazucchi3,4,
  3. Helmut Laufs4,5,
  4. Ana Sanjuán1 and
  5. Morten L. Kringelbach6,7,8
  1. 1Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona 08018, Spain
  2. 2Institució Catalana de la Recerca i Estudis Avançats (ICREA), Universitat Pompeu Fabra, Barcelona 08010, Spain
  3. 3Institute for Medical Psychology, Christian Albrechts University Kiel, Kiel 24105, Germany
  4. 4Department of Neurology and Brain Imaging Center, Goethe University Frankfurt am Main, Frankfurt am Main 60528, Germany
  5. 5Department of Neurology, Christian Albrechts University Kiel, Kiel 24104, Germany
  6. 6Department of Psychiatry, University of Oxford, Oxford OX3 7JX, United Kingdom
  7. 7Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Denmark
  8. 8Institut d’études Avancées de Paris, France
  1. Correspondence should be addressed to either of the following: Gustavo Deco, Universitat Pompeu Fabra, C/Roc Boronat, 138, Barcelona 08018, Spain, E-mail: gustavo.deco{at}upf.edu; or Morten L. Kringelbach, Department of Psychiatry, University of Oxford, Oxford, United Kingdom, E-mail: morten.kringelbach{at}psych.ox.ac.uk.
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Author contributions

  1. Author contributions: G.D. and M.L.K. designed research; G.D. and M.L.K. performed research; G.D., E.T., H.L., A.S., and M.L.K. contributed unpublished reagents/analytic tools; G.D., A.S., and M.L.K. analyzed data; G.D., E.T., H.L., A.S., and M.L.K. wrote the paper.

Disclosures

  • The authors declare no competing financial interests.

  • G.D. was supported by the European Research Council (ERC) Advanced Grant DYSTRUCTURE (295129) and by the Spanish Research Project PSI2013-42091-P. A.S. was supported by the Spanish Ministry of Economy and Competitiveness Grant FPDI2013-17045. M.L.K. was supported by the ERC Consolidator Grant CAREGIVING (615539) and the Center for Music in the Brain, funded by the Danish National Research Foundation Grant DNRF117.

Funding

  • EC | European Research Council (ERC)

    295129; 615539

Other Version

  • You are viewing the most recent version of this article.
  • previous version (September 15, 2017).

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Sep 20174192379
Oct 2017535221173
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Total 202131679183
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Total 202491902233
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Feb 202559412
Mar 202565816
Apr 202555918
May 20254628
Jun 2025137319
Jul 202524111
Total 202542447108
Total172859471779
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Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep
Gustavo Deco, Enzo Tagliazucchi, Helmut Laufs, Ana Sanjuán, Morten L. Kringelbach
eNeuro 15 September 2017, 4 (5) ENEURO.0106-17.2017; DOI: 10.1523/ENEURO.0106-17.2017

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Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep
Gustavo Deco, Enzo Tagliazucchi, Helmut Laufs, Ana Sanjuán, Morten L. Kringelbach
eNeuro 15 September 2017, 4 (5) ENEURO.0106-17.2017; DOI: 10.1523/ENEURO.0106-17.2017
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Keywords

  • whole-brain modeling
  • neuroimaging
  • ignition
  • metastability
  • integration

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