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  Turbulent-like dynamics in the human brain

Deco, G., & Kringelbach, M. L. (2020). Turbulent-like dynamics in the human brain. Cell Reports, 33(10): 108471. doi:10.1016/j.celrep.2020.108471.

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 Creators:
Deco, Gustavo1, 2, 3, 4, Author              
Kringelbach, Morten L.5, 6, 7, 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              
5Centre for Eudaimonia and Human Flourishing, University of Oxford, United Kingdom, ou_persistent22              
6Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
7Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              

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Free keywords: Anatomy; dMRI; Exponential distance rule; fMRI; Resting state; Turbulence-like dynamics; Whole-brain modelling
 Abstract: Turbulence facilitates fast energy/information transfer across scales in physical systems. These qualities are important for brain function, but it is currently unknown if the dynamic intrinsic backbone of the brain also exhibits turbulence. Using large-scale neuroimaging empirical data from 1,003 healthy participants, we demonstrate turbulent-like human brain dynamics. Furthermore, we build a whole-brain model with coupled oscillators to demonstrate that the best fit to the data corresponds to a region of maximally developed turbulent-like dynamics, which also corresponds to maximal sensitivity to the processing of external stimulations (information capability). The model shows the economy of anatomy by following the exponential distance rule of anatomical connections as a cost-of-wiring principle. This establishes a firm link between turbulent-like brain activity and optimal brain function. Overall, our results reveal a way of analyzing and modeling whole-brain dynamics that suggests a turbulent-like dynamic intrinsic backbone facilitating large-scale network communication.

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Language(s): eng - English
 Dates: 2020-09-072020-06-212020-11-112020-12-08
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.celrep.2020.108471
PMID: 33296654
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Title: Cell Reports
Source Genre: Journal
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Publ. Info: Maryland Heights, MO : Cell Press
Pages: - Volume / Issue: 33 (10) Sequence Number: 108471 Start / End Page: - Identifier: ISSN: 2211-1247
CoNE: https://pure.mpg.de/cone/journals/resource/2211-1247