Multimodal Data Fusion Using Source Separation: Application to Medical Imaging This paper demonstrates the application of the two models introduced in the previous paper to fusion of medical imaging data from three modalities: functional magnetic resonance imaging (MRI), structural MRI, and electroencephalography data and discusses the tradeoffs in various modeling and parameter choices.