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Dynamic changes in network synchrony reveal resting-state functional networks.

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  • 1Institut für Theoretische Physik, Technische Universität Berlin, Hardenbergstraße 36, 10623 Berlin, Germany.

Chaos (Woodbury, N.Y.)
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Summary
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This study reveals how brain network dynamics, specifically synchrony and its variations, shape functional connectivity. These dynamics are crucial for understanding flexible changes in large-scale brain network interactions.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Network Science

Background:

  • Resting-state functional magnetic resonance imaging (fMRI) reveals complex spatial and temporal patterns of brain activity.
  • These patterns form large-scale functional connectivity networks, suggesting dynamically organized neural assemblies.
  • Understanding the dynamics of these networks may uncover mechanisms of changing functional interactions.

Purpose of the Study:

  • To investigate how global network dynamics are influenced by different network configurations.
  • To analyze the roles of synchrony and variations in synchrony in shaping brain functional co-activity patterns.
  • To explore the flexibility of large-scale network dynamics.

Main Methods:

  • Simulated neural activity using 90 FitzHugh-Nagumo neural models with system noise and time-delayed interactions.
  • Embedded models into the topology of realistic brain functional interactions, reduced to main structural pathways.
  • Measured synchrony and variations in synchrony as key dynamic properties.

Main Results:

  • Patterns of correlated regional activity emerged from dynamical properties that maximized synchrony and variations in synchrony.
  • Demonstrated that network configurations shape global network dynamics.
  • Observed fast changes in network synchrony, indicating flexible large-scale network dynamics.

Conclusions:

  • Synchrony and variations in synchrony are key drivers of functional co-activity patterns in the brain.
  • Network topology significantly influences global brain dynamics.
  • The brain exhibits flexible large-scale network dynamics, adaptable through changes in synchrony.