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  Awakening: Predicting external stimulation to force transitions between different brain states

Deco, G., Cruzat, J., Cabral, J., Tagliazucchi, E., Laufs, H., Logothetis, N. K., et al. (2019). Awakening: Predicting external stimulation to force transitions between different brain states. Proceedings of the National Academy of Sciences of the United States of America, 116(36), 18088-18097. doi:10.1073/pnas.1905534116.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-BD09-E Version Permalink: http://hdl.handle.net/21.11116/0000-0004-BD0A-D
Genre: Journal Article

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 Creators:
Deco, Gustavo1, 2, 3, 4, 5, Author              
Cruzat, Josephine1, 2, Author
Cabral, Joana6, 7, 8, Author
Tagliazucchi, Enzo9, 10, Author
Laufs, Helmut10, 11, Author
Logothetis, Nikos K.12, 13, Author
Kringelbach, Morten L.6, 7, 8, Author
Affiliations:
1Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
2Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
3Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
4Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
5Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia, ou_persistent22              
6Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
7Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
8ICVS - Life and Health Sciences Research Institute, School of Health Sciences, University of Minho, Braga, Portugal, ou_persistent22              
9Institute of Medical Psychology and Medical Sociology, University Hospital of Schleswig-Holstein, Kiel, Germany, ou_persistent22              
10Brain Imaging Centre, Goethe University, Frankfurt, Germany, ou_persistent22              
11Department of Neurology, Christian Albrecht University Kiel, Germany, ou_persistent22              
12Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, ou_persistent22              
13Centre for Imaging Sciences, University of Manchester, United Kingdom, ou_persistent22              

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 Abstract: A fundamental problem in systems neuroscience is how to force a transition from one brain state to another by external driven stimulation in, for example, wakefulness, sleep, coma, or neuropsychiatric diseases. This requires a quantitative and robust definition of a brain state, which has so far proven elusive. Here, we provide such a definition, which, together with whole-brain modeling, permits the systematic study in silico of how simulated brain stimulation can force transitions between different brain states in humans. Specifically, we use a unique neuroimaging dataset of human sleep to systematically investigate where to stimulate the brain to force an awakening of the human sleeping brain and vice versa. We show where this is possible using a definition of a brain state as an ensemble of “metastable substates,” each with a probabilistic stability and occurrence frequency fitted by a generative whole-brain model, fine-tuned on the basis of the effective connectivity. Given the biophysical limitations of direct electrical stimulation (DES) of microcircuits, this opens exciting possibilities for discovering stimulation targets and selecting connectivity patterns that can ensure propagation of DES-induced neural excitation, potentially making it possible to create awakenings from complex cases of brain injury.

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Language(s): eng - English
 Dates: 2019-04-032019-06-202019-08-192019-09-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1073/pnas.1905534116
Other: Epub 2019
PMID: 31427539
PMC: PMC6731634
 Degree: -

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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : Proc. Acad. Sci. USA
  Other : Proc. Acad. Sci. U.S.A.
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : PNAS
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 116 (36) Sequence Number: - Start / End Page: 18088 - 18097 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230