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  Understanding brain states across spacetime informed by whole-brain modelling

Vohryzek, J., Cabral, J., Vuust, P., Deco, G., & Kringelbach, M. L. (2022). Understanding brain states across spacetime informed by whole-brain modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2227): 20210247. doi:10.1098/rsta.2021.0247.

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 Creators:
Vohryzek, Jakub1, 2, 3, 4, Author
Cabral, Joana1, 5, Author
Vuust, Peter2, Author
Deco, Gustavo4, 6, 7, Author              
Kringelbach, Morten L.1, 2, 3, Author
Affiliations:
1Centre for Eudaimonia and Human Flourishing, University of Oxford, United Kingdom, ou_persistent22              
2Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
3Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
4Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
5ICVS - Life and Health Sciences Research Institute, School of Health Sciences, University of Minho, Braga, Portugal, ou_persistent22              
6Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
7Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Complexity; Connectomics; Emergence; Functional magnetic resonance imaging; Spatio-temporal dynamics; Whole-brain models
 Abstract: In order to survive in a complex environment, the human brain relies on the ability to flexibly adapt ongoing behaviour according to intrinsic and extrinsic signals. This capability has been linked to specific whole-brain activity patterns whose relative stability (order) allows for consistent functioning, supported by sufficient intrinsic instability needed for optimal adaptability. The emergent, spontaneous balance between order and disorder in brain activity over spacetime underpins distinct brain states. For example, depression is characterized by excessively rigid, highly ordered states, while psychedelics can bring about more disordered, sometimes overly flexible states. Recent developments in systems, computational and theoretical neuroscience have started to make inroads into the characterization of such complex dynamics over space and time. Here, we review recent insights drawn from neuroimaging and whole-brain modelling motivating using mechanistic principles from dynamical system theory to study and characterize brain states. We show how different healthy and altered brain states are associated to characteristic spacetime dynamics which in turn may offer insights that in time can inspire new treatments for rebalancing brain states in disease. This article is part of the theme issue 'Emergent phenomena in complex physical and socio-technical systems: from cells to societies'.

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Language(s): eng - English
 Dates: 2022-05-232022-07-11
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1098/rsta.2021.0247
Other: epub 2022
PMID: 35599554
PMC: PMC9125224
 Degree: -

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Project name : -
Grant ID : 615539
Funding program : -
Funding organization : European Research Council
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 : Horizon 2020
Funding organization : European Union

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Title: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
  Other : Phil. Trans. R. Soc. A
Source Genre: Journal
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Publ. Info: London : Royal Society
Pages: - Volume / Issue: 380 (2227) Sequence Number: 20210247 Start / End Page: - Identifier: ISSN: 1364-503X
CoNE: https://pure.mpg.de/cone/journals/resource/954928604111_3