Before revision:  Separate GGMs were estimated using a Bayesian framework for the combined multimodal data for each diagnostic category.
After revision:  Separate GGMs were estimated using a Bayesian framework for the combined multimodal data to obtain conditional dependency networks. Conditional dependency matrices were much sparser (10\% density) than Pearson correlation matrices (50\% density). Within modalities, conditional dependency networks yielded clusters connecting anatomically adjacent regions. For associations between different modalities, only few region-specific connections remained.