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Understanding brain states across spacetime informed by whole-brain modelling

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dc.contributor.author Vohryzek, Jakub
dc.contributor.author Cabral, Joana
dc.contributor.author Vuust, Peter
dc.contributor.author Deco, Gustavo
dc.contributor.author Kringelbach, Morten L.
dc.date.accessioned 2023-03-03T07:43:05Z
dc.date.available 2023-03-03T07:43:05Z
dc.date.issued 2022
dc.identifier.citation Vohryzek J, Cabral J, Vuust P, Deco G, Kringelbach ML. Understanding brain states across spacetime informed by whole-brain modelling. Philos Trans A Math Phys Eng Sci. 2022;380(2227):20210247. DOI: 10.1098/rsta.2021.0247
dc.identifier.issn 1364-503X
dc.identifier.uri http://hdl.handle.net/10230/56022
dc.description.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.
dc.description.sponsorship M.L.K. is supported by the ERC Consolidator Grant CAREGIVING (grant no. 615539); Center for Music in the Brain, funded by the Danish National Research Foundation (grant no. DNRF117) and Centre for Eudaimonia and Human Flourishing funded by the Pettit Foundation and Carlsberg Foundation. G.D. is supported by the Spanish Research Project (PID2019–105772GB-I00 AEI FEDER EU), funded by the Spanish Ministry of Science, Innovation and Universities (MCIU), State Research Agency (AEI) and European Regional Development Funds (FEDER); HBP SGA3 Human Brain Project Specific Grant Agreement 3 (grant agreement 945539), funded by the EU H2020 FET Flagship programme; and SGR Research Support Group (2017 SGR 1545), funded by the Catalan Agency for Management of University and Research Grants (AGAUR). J.C. is funded by the Portuguese Foundation for Science and Technology (FCT), projects UIDB/50026/2020, UIDP/50026/2020. P.V. is supported by Center for Music in the Brain, funded by the Danish National Research Foundation (grant no. DNRF117). G.D. and J.V. are supported by the EU H2020 project Neurotwin Grant agreement ID: 101017716.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Royal Society
dc.relation.ispartof Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2022;380(2227):20210247.
dc.rights © 2022 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title Understanding brain states across spacetime informed by whole-brain modelling
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1098/rsta.2021.0247
dc.subject.keyword complexity
dc.subject.keyword emergence
dc.subject.keyword whole-brain models
dc.subject.keyword connectomics
dc.subject.keyword functional magnetic resonance imaging
dc.subject.keyword spatio-temporal dynamics
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/615539
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/945539
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101017716
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-105772GB-I00
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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