Controllability analysis of macaque structural connectome from an edge centric perspective

Area of Science:

• Neuroscience
• Network Science
• Systems Biology

Background:

• The macaque structural connectome provides a detailed map of brain connectivity.
• Understanding network controllability is crucial for analyzing brain function and dysfunction.

Purpose of the Study:

• To investigate edge controllability properties of the macaque structural connectome.
• To provide a mathematical framework for analyzing the roles of edge modal and average controllability.
• To identify critical network edges influencing brain state transitions.

Main Methods:

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

Main Results:

• Established a mathematical framework to analyze edge controllability in the macaque brain network.
• Identified the relationship between edge modal and edge average controllability, offering functional insights.
• Pinpointed top edges with the highest average controllability, potentially critical for state transitions.

Conclusions:

• The study provides novel insights into the network control mechanisms of the macaque brain.
• Identified critical network edges may serve as targets for future neurostimulation interventions.
• Findings contribute to a systems-level understanding of brain network dynamics.