Controllability analysis of macaque structural connectome from an edge centric perspective

Area of Science:

• Neuroscience
• Network Systems Theory
• Computational Biology

Background:

• The structural connectome provides a blueprint of neural connections.
• Understanding network controllability is crucial for deciphering brain function.
• Previous studies have focused on global controllability, neglecting edge-specific properties.

Purpose of the Study:

• To investigate the edge controllability of the macaque structural connectome.
• To mathematically define and analyze edge modal and average controllability.
• To explore the functional implications of network edge controllability.

Main Methods:

• Reconstruction of the macaque structural connectome using optimal tractography.
• Derivation of mathematical expressions for edge modal and average controllability.
• Analysis of the relationship between different edge controllability measures.

Main Results:

• Mathematical framework for analyzing edge controllability was established.
• The relationship between edge modal and average controllability was elucidated.
• Key brain network edges with high average controllability were identified.

Conclusions:

• Specific network edges play a critical role in macaque brain state transitions.
• Edge controllability analysis provides insights into functional brain organization.
• Findings may inform the development of targeted neurostimulation interventions.