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  Dynamic primitives of brain network interaction

Schirner, M., Kong, X., Yeo, B. T. T., Deco, G., & Ritter, P. (2022). Dynamic primitives of brain network interaction. NeuroImage, 250: 118928. doi:10.1016/j.neuroimage.2022.118928.

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 Creators:
Schirner, Michael1, 2, 3, 4, 5, Author
Kong, Xiaolu6, 7, 8, Author
Yeo, B. T. Thomas6, 7, 8, 9, 10, Author
Deco, Gustavo11, 12, 13, 14, Author              
Ritter, Petra1, 2, 3, 4, 5, Author
Affiliations:
1Berlin Institute of Health (BIH), Germany, ou_persistent22              
2Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              
3State Dependencies of Learning, Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              
4Einstein Center for Neurosciences Berlin (ECN), Germany, ou_persistent22              
5Einstein Center Digital Future, Berlin, Germany, ou_persistent22              
6Department of Electrical and Computer Engineering, Clinical Imaging Research Centre, National University of Singapore, ou_persistent22              
7Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, ou_persistent22              
8Institute for Digital Medicine, National University of Singapore, ou_persistent22              
9Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, ou_persistent22              
10Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA, ou_persistent22              
11Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
12Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
13Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
14School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              

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 Abstract: What dynamic processes underly functional brain networks? Functional connectivity (FC) and functional connectivity dynamics (FCD) are used to represent the patterns and dynamics of functional brain networks. FC(D) is related to the synchrony of brain activity: when brain areas oscillate in a coordinated manner this yields a high correlation between their signal time series. To explain the processes underlying FC(D) we review how synchronized oscillations emerge from coupled neural populations in brain network models (BNMs). From detailed spiking networks to more abstract population models, there is strong support for the idea that the brain operates near critical instabilities that give rise to multistable or metastable dynamics that in turn lead to the intermittently synchronized slow oscillations underlying FC(D). We explore further consequences from these fundamental mechanisms and how they fit with reality. We conclude by highlighting the need for integrative brain models that connect separate mechanisms across levels of description and spatiotemporal scales and link them with cognitive function.

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Language(s): eng - English
 Dates: 2021-12-032021-06-012022-01-202022-01-292022-04-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuroimage.2022.118928
Other: epub 2022
PMID: 35101596
 Degree: -

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Project name : -
Grant ID : SGA2 785907, SGA3 945539, 826421 and ERC 683049
Funding program : Human Brain Project
Funding organization : -
Project name : Horizon 2020
Grant ID : 800858
Funding program : -
Funding organization : -
Project name : -
Grant ID : RI 2073/6-1, RI 2073/10-2, RI 2073/9-1
Funding program : SPP Computational Connectomics
Funding organization : -
Project name : -
Grant ID : NUHSRO/2020/124/TMR/LOA
Funding program : -
Funding organization : NUS Yong Loo Lin School of Medicine
Project name : -
Grant ID : OFLCG19May-0035
Funding program : -
Funding organization : Singapore National Medical Research Council (NMRC)
Project name : -
Grant ID : R01MH120080
Funding program : -
Funding organization : National Institutes of Health

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 250 Sequence Number: 118928 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166