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Related Concept Videos

Organization of the Brain01:30

Organization of the Brain

The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
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Functional Brain Systems: Reticular Formation

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Neuronal Communication01:28

Neuronal Communication

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Neuroplasticity01:01

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Gut-Brain Axis01:22

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Related Experiment Video

Updated: Jun 22, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Published on: March 21, 2019

Symbiotic relationship between brain structure and dynamics.

Mikail Rubinov1, Olaf Sporns, Cees van Leeuwen

  • 1Black Dog Institute and School of Psychiatry, University of New South Wales, Sydney, Australia. m.rubinov@student.unsw.edu.au

BMC Neuroscience
|June 3, 2009
PubMed
Summary
This summary is machine-generated.

Brain activity and structure dynamically shape each other through neuroplasticity. This study models how spontaneous brain dynamics self-organize cortical networks, revealing time-scale dependent structural and functional differences.

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Published on: July 21, 2021

Area of Science:

  • Computational neuroscience
  • Network science
  • Theoretical neurobiology

Background:

  • Brain structure and dynamics are intrinsically linked via activity-dependent neuroplasticity.
  • Understanding this interdependence is crucial for modeling spontaneous cortical activity.
  • Previous models demonstrate the generation of small-world topology from random connectivity.

Purpose of the Study:

  • To theoretically examine the interdependence between brain structure and dynamics in spontaneous cortical activity.
  • To provide biophysical justification for a model of activity-dependent network rewiring.
  • To quantitatively characterize the relationship between structure, function, and dynamics during self-organization.

Main Methods:

  • Simulation of spontaneous brain dynamics on structural connectivity networks using coupled nonlinear maps.
  • Unsupervised, activity-dependent rewiring rule to adjust structural connectivity towards functional patterns on slow time scales.
  • Quantitative analysis of structure-function-dynamics relationships in the emergent self-organized networks.

Main Results:

  • Coupled chaotic dynamics generate ordered, modular functional patterns irrespective of initial structural connectivity.
  • Structural connectivity becomes more modular, increasingly reflecting functional patterns over time.
  • Functional networks mirror structural networks on slow timescales but diverge on faster timescales due to hub node dynamics.

Conclusions:

  • A theoretical mechanism for neuroanatomical self-organization driven by brain dynamics is proposed.
  • Significant time-scale dependent differences exist between structural and functional brain networks.
  • The distinct dynamics of central structural nodes likely explain these observed network differences.