Modular structure is ubiquitous among real-world networks from related proteins to social groups. Here we analyze the modular organization of brain networks at a large-scale (voxel level) extracted from functional magnetic resonance imaging (fMRI) signals. By using a random walk-based method, we unveil the modularity of brain-webs, and show that modules with a spatial distribution that matches anatomical structures with functional significance. The functional role of each node in the network is studied by analyzing its patterns of inter- and intra-modular connections. Results suggest that the modular architecture constitutes the structural basis for the coexistence of functional integration of distant and specialized brain areas during normal brain activities at rest.
@article{arxiv.0901.1605,
title = {Modular organization as a basis for the functional integration/segregation in large-scale brain networks},
author = {M. Valencia and M. A. Pastor and MA. Fernandez-Seara and J. Artieda and J. Martinerie and M. Chavez},
journal= {arXiv preprint arXiv:0901.1605},
year = {2009}
}