A team of researchers have developed a predictive model to recognize patterns of persistent negative thinking, or rumination, using machine learning. Researchers hypothesized that the variance of dynamic connectivity between certain brain regions, such as the dorsal medial prefrontal cortex (dmPFC), could be associated with rumination.