 Schizophrenia is a mental illness characterized by complex psychiatric symptoms and unclear pathological mechanisms. Previous studies have focused on morphological changes that occurred during the course of the disease, but the corresponding functional trajectories remain unclear. In this study, researchers examined the progressive trajectories of patterns of dysfunction after diagnosis using functional magnetic resonance imaging, FMI. They found five distinct stages of symptoms and FMI patterns, which were associated with clinical symptoms and gene expression data from the Allen-Human-Brain-Atlas database. The researchers also identified a shift in the importance of neuroimaging features associated with behaviors from primary to higher-order cortices and subcortical regions as the disease progresses. Additionally, they discovered that genetic factors related to neurodevelopment and neurodegeneration may play a role in the progression of schizophrenia. These findings suggest that understanding the progressive trajectories of patterns of dysfunction could provide insight into the underlying causes of schizophrenia and potentially lead to more effective treatments. This article was authored by Sisi Jiang, Huan Huan, Jin Yuju, and others. We are article.tv, links in the description below.