Maria Pope

This study uses multivariate information theory to show how structural features of the human connectome influence higher-order information sharing, revealing distinct structural profiles for redundant and synergistic brain region subsets.

This paper introduces a community detection algorithm for functional brain networks that accounts for higher-order interactions and identifies redundant modules, revealing new organizational patterns in the transmodal cortex.

The paper analyzes time-varying synergy and redundancy dominance in fMRI BOLD signals during rest, finding that whole-brain synergy is rare and that optimized subsets show recurrent functional systems.

This study identifies bursty dynamics and modular subgraphs in mouse and human brain networks, showing cross-species consistency in co-fluctuation patterns and anatomical connectivity.

This paper introduces a coupled oscillator model that dynamically limits brain network communication, showing it better fits empirical functional connectivity than standard models.

The paper investigates cortico-subcortical interactions using edge communities and finds distinct coupling patterns between subcortical regions and cortical systems.

The paper shows that modular structural connectivity shapes high-amplitude co-fluctuation events in simulated brain dynamics, mirroring empirical findings.