Author:

Keywords:

Mixed scale data, Fused and Group lasso, Joint graphical lasso, ℓ1 penalization, Sparsistency

Abstract:

We develop a method for estimating brain networks from fMRI datasets that have not all been measured using the same set of brain regions. Some of the coarse scale regions have been split in smaller subregions. The proposed penalized estimation procedure selects undirected graphical models with similar structures that combine information from several subjects and several coarseness scales. Both within scale edges and between scale edges that identify possible connections between a large region and its subregions are estimated.