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  Brain songs framework used for discovering the relevant timescale of the human brain

Deco, G., Cruzat, J., & Kringelbach, M. L. (2019). Brain songs framework used for discovering the relevant timescale of the human brain. Nature Communications, 10: 583. doi:10.1038/s41467-018-08186-7.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-FF96-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-928B-B
Genre: Journal Article

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 Creators:
Deco, Gustavo1, 2, 3, 4, Author              
Cruzat, Josepine1, 5, Author
Kringelbach, Morten L.5, 6, Author
Affiliations:
1Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
2Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
3Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634551              
4School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
5Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
6Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              

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 Abstract: A key unresolved problem in neuroscience is to determine the relevant timescale for understanding spatiotemporal dynamics across the whole brain. While resting state fMRI reveals networks at an ultraslow timescale (below 0.1 Hz), other neuroimaging modalities such as MEG and EEG suggest that much faster timescales may be equally or more relevant for discovering spatiotemporal structure. Here, we introduce a novel way to generate whole-brain neural dynamical activity at the millisecond scale from fMRI signals. This method allows us to study the different timescales through binning the output of the model. These timescales can then be investigated using a method (poetically named brain songs) to extract the spacetime motifs at a given timescale. Using independent measures of entropy and hierarchy to characterize the richness of the dynamical repertoire, we show that both methods find a similar optimum at a timescale of around 200 ms in resting state and in task data.

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Language(s): eng - English
 Dates: 2018-06-132018-12-122019-02-04
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1038/s41467-018-08186-7
PMID: 30718478
PMC: PMC6361902
 Degree: -

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Project name : Human Brain Project Specific Grant Agreement 1 / HBP SGA1
Grant ID : 720270
Funding program : Horizon 2020
Funding organization : European Commission (EC)
Project name : Human Brain Project Specific Grant Agreement 2 / HBP SGA2
Grant ID : 785907
Funding program : Horizon 2020
Funding organization : European Commission (EC)
Project name : -
Grant ID : SGR 1545
Funding program : Catalan AGAUR Programme 2017
Funding organization : -
Project name : The plasticity of parental caregiving: characterizing the brain mechanisms underlying normal and disrupted development of parenting / CAREGIVING
Grant ID : 615539
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : -
Grant ID : DNRF117
Funding program : -
Funding organization : Center for Music in the Brain, Danish National Research Foundation
Project name : Spanish National Project Complexity of Brain States
Grant ID : PSI2016-75688-P
Funding program : -
Funding organization : Spanish Research Agency (AEI) and the European Regional Development Fund (ERDF)

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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
 Creator(s):
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 10 Sequence Number: 583 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723