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Area of Science:

  • Neuroscience
  • Complex Systems
  • Network Science

Background:

  • Brain networks exhibit modularity across multiple scales.
  • The interplay between modular structure, signal transmission delays, and brain dynamics is not fully understood.

Purpose of the Study:

  • To investigate the impact of signal transmission delays on the collective dynamics of modular brain networks.
  • To explore how delays interact with modular structure to influence brain synchrony and network organization.

Main Methods:

  • Simulations on simplified modular networks and real connectome data.
  • Analysis of network dynamics across varying node frequencies and delay parameters.
  • Theoretical arguments to support simulation findings.

Main Results:

  • Network synchrony is critically dependent on oscillating frequency and signal transmission delays.
  • Increasing node frequency induces a transition from global synchrony to asynchronous states.
  • A transition region emerges where local synchrony within modules exceeds global synchrony.
  • Distance-dependent delays reveal modular structures at different spatial scales in specific frequency bands, with finer structures appearing at higher frequencies.

Conclusions:

  • Signal transmission delays significantly shape brain network dynamics and emergent synchrony patterns.
  • Frequency-dependent transitions in synchrony are a key consequence of modularity and delays.
  • The spatial organization of modularity is frequency-dependent, offering insights into multi-scale brain organization.