Controllability and Robustness of Functional and Structural Connectomic Networks in Glioma Patients.

ABSTRACT: Previous studies suggest that the topological properties of structural and functional neural networks in glioma patients are altered beyond the tumor location. These alterations are due to the dynamic interactions with large-scale neural circuits. Understanding and describing these interactions may be an important step towards deciphering glioma disease evolution. In this study, we analyze structural and functional brain networks in terms of determining the correlation between network robustness and topological features regarding the default-mode network (DMN), comparing prognostically differing patient groups to healthy controls. We determine the driver nodes of these networks, which are receptive to outside signals, and the critical nodes as the most important elements for controllabilit

SUBMITTER: Meyer-Baese A 

PROVIDER: S-EPMC10216571 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature