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Macroscale coupling between structural and effective connectivity in the mouse brain.

Danilo Benozzo1, Giorgia Baron1, Ludovico Coletta2

  • 1Department of Information Engineering, University of Padova, Padova, Italy.

Biorxiv : the Preprint Server for Biology
|March 3, 2023
PubMed
Summary
This summary is machine-generated.

The relationship between brain structure and function is complex. Strong structural connections do not always equate to strong functional connections, especially in higher-order brain areas.

Keywords:
directed structural connectivitydynamic causal modelingeffective connectivitystructural-effective coupling

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Understanding the relationship between structural connectivity (SC) and functional connectivity (FC) in the brain is a fundamental challenge in neuroscience.
  • Existing research often reveals a lack of one-to-one correspondence between anatomical structure and observed brain activity patterns.

Approach:

  • This study utilized a directed structural connectome of the mouse brain derived from viral tracer data.
  • Effective connectivity (EC) matrices were computed from whole-brain resting-state fMRI data using a novel dynamic causal modeling (DCM) approach.
  • The coupling between SC and EC was analyzed by conditioning on the strongest links in both connectomes.

Key Points:

  • When focusing on the strongest effective connectivity (EC) links, the observed coupling aligns with the established unimodal-transmodal functional hierarchy.
  • Conversely, strong structural connectivity (SC) links within high-order cortical areas do not necessarily correspond to strong EC.
  • Significant mismatches between SC and EC are evident across different brain networks, with sensory-motor networks showing the best alignment.

Conclusions:

  • The findings highlight that the relationship between brain structure and function is not straightforward and is influenced by network properties and analytical approaches.
  • The study underscores the importance of considering directed structural information and the limitations of functional connectivity measures for a comprehensive understanding of brain network organization.