Title: Fused lasso regression for identifying differential correlations in brain connectome graphs
Authors: Donghyeon Yu - Inha University (Korea, South) [presenting]
Abstract: A procedure is proposed to find differential edges between two graphs from high-dimensional data. We estimate two matrices of partial correlations and their differences by solving a penalized regression problem. We assume sparsity only on differences between two graphs, not graphs themselves. Thus, we impose an $\ell_2$ penalty on partial correlations and an $\ell_1$ penalty on their differences in the penalized regression problem. We apply the proposed procedure in finding differential functional connectivity between healthy individuals and Alzheimer's disease patients.