Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations

•We integrate dynamic and multimodal connectomics data with behavior in a deep-generative hybrid framework.•We outperform various statistical, graph theoretic, and state-of-the-art deep learning baselines at behavioral prediction on two separate datasets.•We provide qualitative and quantitative comparisons of the learnt brain basis for both datasets.•We effectively fold in the anatomical information to track temporal changes during the resting state scan.