Statistical Connectomics

The data science of networks is a rapidly developing field with myriad applications. In neuroscience, the brain commonly modeled as connectome, network nodes connected by edges. While there have been thousands papers on connectomics, statistics remains limited and poorly understood. Here, we provide an overview from perspective statistical kinds models, assumptions, problems, applications that are theoretically empirically justified for analysis connectome data. We hope this review spurs further development application statistically grounded methods in connectomics.