Blockmodels for connectome analysis

Daniel Moyer, Boris Gutman, Gautam Prasad, Joshua Faskowitz, Greg Ver Steeg, Paul Thompson, Eduardo Romero, Natasha Lepore, Juan D. García-Arteaga, Jorge Brieva
2015 11th International Symposium on Medical Information Processing and Analysis  
In the present work we study a family of generative network model and its applications for modeling the human connectome. We introduce a minor but novel variant of the Mixed Membership Stochastic Blockmodel and apply it and two other related model to two human connectome datasets (ADNI and a Bipolar Disorder dataset) with both control and diseased subjects. We further provide a simple generative classifier that, alongside more discriminating methods, provides evidence that blockmodels
more » ... summarize tractography count networks with respect to a disease classification task.
doi:10.1117/12.2211519 fatcat:tpttoovxuzcnrhmfbirztsp7qi