Consistent connectome landscape mining for cross-site brain disease identification using functional MRI

) method that can mine cross-site consistent connectome landscape and extract data-driven representation of functional connectivity networks for brain disorder identification. Specifically, with functional connectivity networks as input, the proposed CLM model aims to learn a weight matrix for joint cross-site consistent connectome landscape learning, network feature extraction, and disease identification. We impose the penalty on the network-based predictor to capture consistent connectome landscape across multiple sites. To capture site-specific patterns, we introduce an