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  The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states

Deco, G., Sanz Perl, Y., Bocaccio, H., Tagliazucchi, E., & Kringelbach, M. L. (2022). The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states. Communications Biology, 5: 572. doi:10.1038/s42003-022-03505-7.

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 Creators:
Deco, Gustavo1, 2, 3, 4, Author              
Sanz Perl, Yonatan1, 5, Author
Bocaccio, Hernan5, Author
Tagliazucchi, Enzo5, 6, Author
Kringelbach, Morten L.7, 8, 9, Author
Affiliations:
1Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
2Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
3Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
4School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
5Department of Physics, University of Buenos Aires, Argentina, ou_persistent22              
6Latin American Brain Health Institute (BrainLat), University Adolfo Ibañez, Santiago, Chile, ou_persistent22              
7Centre for Eudaimonia and Human Flourishing, University of Oxford, United Kingdom, ou_persistent22              
8Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
9Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              

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Free keywords: Computational neuroscience; Neuroscience
 Abstract: Finding precise signatures of different brain states is a central, unsolved question in neuroscience. We reformulated the problem to quantify the 'inside out' balance of intrinsic and extrinsic brain dynamics in brain states. The difference in brain state can be described as differences in the detailed causal interactions found in the underlying intrinsic brain dynamics. We used a thermodynamics framework to quantify the breaking of the detailed balance captured by the level of asymmetry in temporal processing, i.e. the arrow of time. Specifically, the temporal asymmetry was computed by the time-shifted correlation matrices for the forward and reversed time series, reflecting the level of non-reversibility/non-equilibrium. We found precise, distinguishing signatures in terms of the reversibility and hierarchy of large-scale dynamics in three radically different brain states (awake, deep sleep and anaesthesia) in electrocorticography data from non-human primates. Significantly lower levels of reversibility were found in deep sleep and anaesthesia compared to wakefulness. Non-wakeful states also showed a flatter hierarchy, reflecting the diversity of the reversibility across the brain. Overall, this provides signatures of the breaking of detailed balance in different brain states, perhaps reflecting levels of conscious awareness.

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Language(s): eng - English
 Dates: 2021-12-072022-05-192022-06-10
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s42003-022-03505-7
PMID: 35688893
PMC: PMC9187708
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Project name : -
Grant ID : 945539
Funding program : Human Brain Project
Funding organization : -
Project name : -
Grant ID : 896354
Funding program : Horizon 2020
Funding organization : European Union
Project name : -
Grant ID : ICT-2018-03103 and PICT-2019-02294
Funding program : -
Funding organization : Agencia I+D+I
Project name : -
Grant ID : DNRF117
Funding program : -
Funding organization : Danish National Research Foundation

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Title: Communications Biology
Source Genre: Journal
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Publ. Info: London : Springer Nature
Pages: - Volume / Issue: 5 Sequence Number: 572 Start / End Page: - Identifier: ISSN: 2399-3642
CoNE: https://pure.mpg.de/cone/journals/resource/2399-3642