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

Danilo Benozzo1, Giorgia Baron2, Ludovico Coletta3

  • 1Department of Information Engineering, University of Padova, Padua, Italy. danilo.benozzo@gmail.com.

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|February 7, 2024
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Summary
This summary is machine-generated.

This study reveals that directed structural connectivity (SC) better explains brain functional networks than undirected measures. Mismatches between SC and effective connectivity (EC) highlight limitations in current models.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Brain Connectivity

Background:

  • Understanding the relationship between structural and functional brain connectivity is crucial in neuroscience.
  • Current macroscale models often assume undirected functional connectivity (FC), potentially overlooking crucial anatomical details.
  • The directionality of structural connections and limitations of undirected FC measures may explain discrepancies.

Purpose of the Study:

  • To investigate the relationship between directed structural connectivity (SC) and effective connectivity (EC) in the mouse brain.
  • To analyze how SC and EC align or diverge, considering the directionality of structural pathways.
  • To identify limitations in explaining network functions using undirected functional connectivity (FC).

Main Methods:

  • Acquired directed SC data of the mouse brain using viral tracers.
  • Derived single-subject effective connectivity (EC) matrices from dynamic causal modeling (DCM) of resting-state fMRI data.
  • Quantified SC-EC coupling by conditioning on the strongest SC and EC links.

Main Results:

  • Conditioning on strong EC links revealed coupling aligned with the unimodal-transmodal functional hierarchy.
  • Strong SC links within high-order cortical areas did not always correspond to strong EC links.
  • Alignment between effective and structural strength was primarily observed within sensory-motor networks.

Conclusions:

  • Directed structural connectivity provides a more nuanced understanding of brain network organization than undirected measures.
  • Discrepancies between SC and EC highlight the importance of considering connection directionality and network hierarchies.
  • Future research should incorporate directed connectivity to better model brain function and dysfunction.