Stochastic geometric network models for groups of functional and structural connectomes.

ABSTRACT: Structural and functional connectomes are emerging as important instruments in the study of normal brain function and in the development of new biomarkers for a variety of brain disorders. In contrast to single-network studies that presently dominate the (non-connectome) network literature, connectome analyses typically examine groups of empirical networks and then compare these against standard (stochastic) network models. The current practice in connectome studies is to employ stochastic network models derived from social science and engineering contexts as the basis for the comparison. However, these are not necessarily best suited for the analysis of connectomes, which often contain groups of very closely related networks, such as occurs with a set of controls or a set of patients with

SUBMITTER: Friedman EJ 

PROVIDER: S-EPMC4165788 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature