Modelling on the very large-scale connectome

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  • dc.contributor.author Ódor, Géza
  • dc.contributor.author Gastner, Michael T
  • dc.contributor.author Kelling, Jeffrey
  • dc.contributor.author Deco, Gustavo
  • dc.date.accessioned 2023-03-01T13:52:00Z
  • dc.date.available 2023-03-01T13:52:00Z
  • dc.date.issued 2021
  • dc.description.abstract In this review, we discuss critical dynamics of simple nonequilibrium models on large connectomes, obtained by diffusion MRI, representing the white matter of the human brain. In the first chapter, we overview graph theoretical and topological analysis of these networks, pointing out that universality allows selecting a representative network, the KKI-18, which has been used for dynamical simulation. The critical and sub-critical behaviour of simple, two- or three-state threshold models is discussed with special emphasis on rare-region effects leading to robust Griffiths phases (GP). Numerical results of synchronization phenomena, studied by the Kuramoto model, are also shown, leading to a continuous analog of the GP, termed frustrated synchronization. The models presented here exhibit dynamical scaling behaviour with exponents in agreement with brain experimental data if local homeostasis is provided.
  • dc.description.sponsorship GÓ is supported by the National Research, Development and Innovation Office NKFIH under Grant No. K128989 and the Project HPC-EUROPA3 (INFRAIA-2016-1-730897) from the EC Research Innovation Action under the H2020 Programme. MTG was supported by the Singapore Ministry of Education (MOE) and Yale-NUS College (through Grant No. R-607-263-043-121). GD is supported by Spanish national research projects (ref. PID2019-105772GB-I00 MCIU AEI) funded by the Spanish Ministry of Science, Innovation and Universities (MCIU), State Research Agency (AEI); HBP SGA3 Human Brain Project Specific Grant Agreement 3 (Grant Agreement No. 945539), funded by the EU H2020 FET Flagship Programme; SGR Research Support Group support (ref. 2017 SGR 1545), funded by the Catalan Agency for Management of University and Research Grants (AGAUR); Neurotwin Digital twins for model-driven non-invasive electrical brain stimulation (Grant Agreement ID: 101017716) funded by the EU H2020 FET Proactive programme; euSNN European School of Network Neuroscience (Grant Agreement ID: 860563) funded by the EU H2020MSCA-ITN Innovative Training Networks; CECH The Emerging Human Brain Cluster (Id. 001-P-001682) within the framework of the European Research Development Fund Operational Program of Catalonia 2014-2020; Brain-Connects: Brain Connectivity during Stroke Recovery and Rehabilitation (id. 201725.33) funded by the Fundacio La Marato TV3; Corticity, FLAGERA JTC 2017, (ref. PCI2018-092891) funded by the Spanish Ministry of Science, Innovation and Universities (MCIU), State Research Agency (AEI). JK is supported by the Helmholtz Initiative and Networking Funds via the W2/W3 Programme, Project Number W2/W3-026.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Ódor G, Gastner MT, Kelling J, Deco G. Modelling on the very large-scale connectome. J Phys Complex. 2021;2:045002. DOI: 10.1088/2632-072X/ac266c
  • dc.identifier.doi http://dx.doi.org/10.1088/2632-072X/ac266c
  • dc.identifier.issn 2632-072X
  • dc.identifier.uri http://hdl.handle.net/10230/56003
  • dc.language.iso eng
  • dc.publisher IOP Publishing Ltd.
  • dc.relation.ispartof Journal of Physics: Complexity. 2021;2:045002.
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/945539
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/730897
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101017716
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/860563
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-105772GB-I00
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PCI2018-092891
  • dc.rights © 2021 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri https://creativecommons.org/licenses/by/4.0/
  • dc.subject.keyword connectome
  • dc.subject.keyword brain
  • dc.subject.keyword criticality
  • dc.subject.keyword dynamics
  • dc.subject.keyword Griffiths phase
  • dc.subject.keyword Kuramoto
  • dc.title Modelling on the very large-scale connectome
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion

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