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Updated: Jul 17, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Using network control theory to study the dynamics of the structural connectome
Linden Parkes1,2,3, Jason Z Kim4, Jennifer Stiso1
1Department of Bioengineering, University of Pennsylvania, PA 19104, USA.
Network control theory (NCT) provides a framework to understand how brain structure influences neural dynamics. This study details applying NCT to the human connectome to predict control signals for desired brain states.
Area of Science:
- Neuroscience
- Network Science
- Computational Biology
Background:
- Network control theory (NCT) offers a powerful approach to link network topology with system dynamics.
- Existing methods for structure-function coupling often lack predictive power for external control signals.
- The human structural connectome presents a complex network amenable to NCT analysis.
Conclusions:
- NCT provides a robust framework for understanding brain network control.
- The developed protocol and software facilitate the study of brain dynamics and control.
- Findings offer insights into neural mechanisms underlying behavior and clinical conditions.
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