Topological modules of human brain networks are anatomically embedded: evidence from modularity analysis at multiple scales

P. 299–308.

Kurmukov A., Dodonova Y., Burova M., Mussabayeva A., Petrov D., Faskowitz J., Zhukov L. E.

Human brain networks show modular organization: cortical regions tend to form densely connected modules with only weak inter-modular connections. However, little is known on whether modular structure of brain networks is reliable in terms of test-retest reproducibility and, most importantly, to what extent these topological modules are anatomically embedded. To address these questions, we use MRI data of the same individuals scanned with an interval of several weeks, reconstruct structural brain networks at multiple scales, partition them into communities and evaluate similarity of partitions (i) stemming from the test-retest data of the same versus different individuals and (ii) implied by network topology versus anatomy-based grouping of neighboring regions. First, our results demonstrate that modular structure of brain networks is well reproducible in test-retest settings. Second, the results provide evidence of the theoretically well-motivated hypothesis that brain regions neighboring in anatomical space also tend to belong to the same topological modules.

Keywords: community structure, modularity, Brain networks, test-retest reliability, physically embedded networks

Publication based on the results of: Машинное обучение на данных нейроимаджинга с целью различения фенотипических групп (2016)

In book

Computational Aspects and Applications in Large-Scale Networks. Springer Proceedings in Mathematics & Statistics

Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev, Irina Utkina Vol. 247. , Springer, 2018.