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Related Experiment Videos

Putting the "dynamic" back into dynamic functional connectivity.

Stewart Heitmann1, Michael Breakspear1

  • 1QIMR Berghofer, Brisbane, Australia.

Network Neuroscience (Cambridge, Mass.)
|September 15, 2018
PubMed
Summary
This summary is machine-generated.

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Dynamic functional connectivity arises from neuronal system dynamics. This review explores generalized synchronization, itinerancy, and multistability as key scenarios, revealing richer temporal structures in coupled nonlinear systems for brain computation.

Area of Science:

  • Neuroscience
  • Dynamical Systems Theory
  • Computational Neuroscience

Background:

  • Time-resolved functional connectivity fluctuations are of significant interest.
  • Existing research focuses on methodological and statistical aspects of dynamic functional connectivity.
  • Candidate causes for these fluctuations remain under-explored.

Purpose of the Study:

  • To review candidate scenarios for dynamic functional connectivity.
  • To explore how coupled dynamical systems generate time series data with specific statistical properties.
  • To link these dynamical scenarios to phenomena relevant for brain function.

Main Methods:

  • Review of theoretical frameworks for coupled dynamical systems.
  • Analysis of nonlinear and nonstationary multivariate statistics in generated time series.
Keywords:
Dynamic functional connectivityMetastabilityMultistabilityNonlinear dynamics

Related Experiment Videos

  • Comparison of time series from coupled nonlinear systems with linear stochastic processes.

    • Main Results:

    • Identified generalized synchronization, itinerancy, and multistability as key scenarios for dynamic functional connectivity.
    • Demonstrated that coupled nonlinear systems generate time series with richer temporal structures than linear processes.
    • Showcased how these temporal structures yield phenomena like phase-amplitude coupling, complexity, and flexibility.

    Conclusions:

    • Dynamical systems theory provides a framework for understanding dynamic functional connectivity.
    • The temporal structure in coupled nonlinear systems is crucial for brain communication and computation.
    • The Brain Dynamics Toolbox offers a resource for simulating these dynamics.