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Related Concept Videos

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Updated: Sep 21, 2025

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Time-resolved structure-function coupling in brain networks.

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  • 1McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.

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This summary is machine-generated.

Brain connectivity is not static; dynamic, region-specific patterns reveal how structure and function interact over time. This research highlights regional differences in brain networks, offering new insights into neural dynamics.

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Area of Science:

  • Systems Neuroscience
  • Neuroimaging
  • Computational Neuroscience

Background:

  • The brain's structure-function relationship is crucial for understanding neural processing.
  • Current models often assume a static, global coupling between brain structure and function.
  • Investigating the dynamic nature of this relationship is essential for a comprehensive understanding.

Purpose of the Study:

  • To explore the dynamic nature of structure-function coupling in the brain.
  • To determine if structure-function coupling is regionally heterogeneous.
  • To identify factors influencing the variability of structure-function coupling.

Main Methods:

  • Utilized a temporal unwrapping procedure to analyze moment-to-moment neural activity co-fluctuations.
  • Reconstructed time-resolved patterns of structure-function coupling.
  • Examined the relationship between connection length distribution and coupling variability.

Main Results:

  • Structure-function coupling is regionally heterogeneous, not a single global pattern.
  • Stable coupling observed in unimodal and transmodal cortex.
  • Dynamic coupling identified in intermediate regions, notably the insular cortex (salience network) and frontal eye fields (dorsal attention network).
  • Variability in a region's coupling correlates with its connection length distribution.

Conclusions:

  • Brain structure-function coupling exhibits dynamic and region-specific characteristics.
  • The findings challenge the notion of a persistent, global structure-function relationship.
  • Dynamic analysis provides a novel framework for studying brain connectivity and its relationship to neural activity.