A general framework for characterizing optimal communication in brain networks.

ABSTRACT: Efficient communication in brain networks is foundational for cognitive function and behavior. However, how communication efficiency is defined depends on the assumed model of signaling dynamics, e.g., shortest path signaling, random walker navigation, broadcasting, and diffusive processes. Thus, a general and model-agnostic framework for characterizing optimal neural communication is needed. We address this challenge by assigning communication efficiency through a virtual multi-site lesioning regime combined with game theory, applied to large-scale models of human brain dynamics. Our framework quantifies the exact influence each node exerts over every other, generating optimal influence maps given the underlying model of neural dynamics. These descriptions reveal how communication pattern

SUBMITTER: Fakhar K 

PROVIDER: S-EPMC12005722 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature