Arnaud Messé

This study introduces a framework using game theory to characterize optimal communication in brain networks, finding that broadcasting models best describe communication efficiency, with rich-club regions playing a key role.

The paper shows that excitable dynamics in neural networks produce similar activity patterns in weighted and binarized networks when an appropriate threshold is used.

This paper uses a computational framework to explore how combined deep brain stimulation of the STN and SNr affects cortico-subcortical networks in Parkinson's disease patients with freezing of gait.

The paper investigates the relationship between intrinsic coupling modes (ICMs) in brain activity and structural connectivity in the ferret brain, showing strong correlations except when zero-lag synchronizations are removed.

This paper introduces a topological reinforcement model that evolves synthetic networks toward modularity, suggesting it may underlie modular structure in brain networks.

This study compares diffusion MRI tractography with histological tract-tracing in ferrets to assess the reliability of tractography algorithms in mapping cortico-cortical connectivity.