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  Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome

Cabral, J., Castaldo, F., Vohryzek, J., Litvak, V., Bick, C., Lambiotte, R., et al. (2022). Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome. Communications Physics, 5: 184. doi:10.1038/s42005-022-00950-y.

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 Creators:
Cabral, Joana1, 2, 3, Author
Castaldo, Francesca4, Author
Vohryzek, Jakub2, 5, Author
Litvak, Vladimir4, Author
Bick, Christian6, 7, 8, 9, Author
Lambiotte, Renaud8, Author
Friston, Karl4, Author
Kringelbach, Morten L.1, 2, 3, 10, Author
Deco, Gustavo5, 11, 12, Author           
Affiliations:
1ICVS - Life and Health Sciences Research Institute, School of Health Sciences, University of Minho, Braga, Portugal, ou_persistent22              
2Centre for Eudaimonia and Human Flourishing, University of Oxford, United Kingdom, ou_persistent22              
3Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
4Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, United Kingdom, ou_persistent22              
5Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
6Department of Mathematics, Faculty of Sciences, VU University Amsterdam, the Netherlands, ou_persistent22              
7Systems & Network Neuroscience, VU University Amsterdam, the Netherlands, ou_persistent22              
8Mathematical Institute, University of Oxford, United Kingdom, ou_persistent22              
9Department of Mathematics, University of Exeter, United Kingdom, ou_persistent22              
10Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
11Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
12Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Complex networks; Computational biophysics; Nonlinear phenomena; Phase transitions and critical phenomena
 Abstract: A rich repertoire of oscillatory signals is detected from human brains with electro- and magnetoencephalography (EEG/MEG). However, the principles underwriting coherent oscillations and their link with neural activity remain under debate. Here, we revisit the mechanistic hypothesis that transient brain rhythms are a signature of metastable synchronization, occurring at reduced collective frequencies due to delays between brain areas. We consider a system of damped oscillators in the presence of background noise – approximating the short-lived gamma-frequency oscillations generated within neuronal circuits – coupled according to the diffusion weighted tractography between brain areas. Varying the global coupling strength and conduction speed, we identify a critical regime where spatially and spectrally resolved metastable oscillatory modes (MOMs) emerge at sub-gamma frequencies, approximating the MEG power spectra from 89 healthy individuals at rest. Further, we demonstrate that the frequency, duration, and scale of MOMs – as well as the frequency-specific envelope functional connectivity – can be controlled by global parameters, while the connectome structure remains unchanged. Grounded in the physics of delay-coupled oscillators, these numerical analyses demonstrate how interactions between locally generated fast oscillations in the connectome spacetime structure can lead to the emergence of collective brain rhythms organized in space and time.

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Language(s): eng - English
 Dates: 2021-11-192022-06-202022-07-15
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s42005-022-00950-y
 Degree: -

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Project name : -
Grant ID : UIDB/50026/2020, UIDP/50026/2020 and CEECIND/03325/2017
Funding program : -
Funding organization : Portuguese Foundation for Science and Technology
Project name : -
Grant ID : 860563
Funding program : -
Funding organization : European School of Network Neuroscience
Project name : -
Grant ID : 203147/Z/16/Z
Funding program : -
Funding organization : Wellcome Centre for Human Neuroimaging
Project name : -
Grant ID : 101017716
Funding program : -
Funding organization : European Union
Project name : -
Grant ID : EP/V013068/1; EP/V03474X/1 and EP/T013613/1
Funding program : -
Funding organization : Engineering and Physical Sciences Research Council (EPSRC)
Project name : -
Grant ID : DNRF117
Funding program : -
Funding organization : Danish National Research Foundation
Project name : -
Grant ID : 945539
Funding program : -
Funding organization : Human Brain Project
Project name : -
Grant ID : 101017716
Funding program : -
Funding organization : Neurotwin Digital
Project name : -
Grant ID : 860563
Funding program : -
Funding organization : Innovative Training Networks

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Title: Communications Physics
Source Genre: Journal
 Creator(s):
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 5 Sequence Number: 184 Start / End Page: - Identifier: ISSN: 2399-3650
CoNE: https://pure.mpg.de/cone/journals/resource/2399-3650