Brain dynamics and function explained by higher-order network interactions

• Applicant: Professor Dr. Claus Christian Hilgetag
• Subject Area: Experimental and Theoretical Network Neuroscience
• Term: since 2026
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 568983145

In this project, we aim to understand the network interactions underlying intact and lesion impaired brain function by pursuing and integrating two approaches for identifying higher-order interactions in the brain. We will use the game theoretical approach of Multi-perturbation Shapley Value Analysis (MSA) and information theoretical approaches to determine higher-order network interactions from the activity patterns and the causal interactions of brain nodes. Our goal is to apply these approaches systematically to synthetic data and suitable clinical datasets that comprises both lesion perturbation data and data on the activity of brain nodes, so that the outcomes for determining higher order interactions from the two approaches can be compared directly. The work will be performed in close collaboration between the two teams investigating and further developing the frameworks of game theory-based and information theory-based higher-order network interactions. With the project, we aim to derive a better understanding of the functionally relevant interactions in complex brain networks and to apply these insights to the interpretation of lesion deficits in a clinical context.

• DFG Programme: Research Grants
• International Connection: Belgium
• Partner Organisation: Fonds Wetenschappelijk Onderzoek - Vlaanderen ; Research Foundation Flanders (FWO)
• Cooperation Partner: Professor Daniele Marinazzo, Ph.D.