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Turbulent-like Dynamics in the Human Brain.

Gustavo Deco1, Morten L Kringelbach2

  • 1Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona, 08018, Spain; Institució Catalana de la Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, Barcelona, 08010, Spain; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany; School of Psychological Sciences, Monash University, Melbourne, Clayton, VIC 3800, Australia.

Cell Reports
|December 9, 2020
PubMed
Summary

Human brain dynamics exhibit turbulent-like activity, enhancing information transfer. This turbulent backbone optimizes brain function and information processing capabilities, linking brain structure and activity.

Keywords:
anatomydMRIexponential distance rulefMRIresting stateturbulence-like dynamicswhole-brain modelling

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Area of Science:

  • Neuroscience
  • Complex Systems
  • Physics

Background:

  • Turbulence is crucial for rapid energy and information transfer in physical systems.
  • The role of turbulence in the brain's intrinsic dynamics remains unexplored.

Purpose of the Study:

  • To investigate whether the human brain's dynamic intrinsic backbone exhibits turbulent characteristics.
  • To model whole-brain dynamics and link turbulent activity to optimal brain function and information processing.

Main Methods:

  • Analysis of large-scale neuroimaging data from 1,003 healthy participants.
  • Development of a whole-brain model with coupled oscillators to simulate brain dynamics.
  • Incorporation of the exponential distance rule for anatomical connections as a wiring cost principle.

Main Results:

  • Empirical data demonstrate turbulent-like dynamics in human brain activity.
  • The best-fit model revealed maximally developed turbulent-like dynamics.
  • Maximal turbulence correlated with heightened sensitivity to external stimuli, indicating enhanced information capability.

Conclusions:

  • Human brain dynamics display turbulent-like characteristics, supporting efficient large-scale network communication.
  • A turbulent intrinsic backbone is linked to optimal brain function and information processing.
  • The findings provide a novel framework for analyzing and modeling whole-brain dynamics.