Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. This study used resting-state fMRI and independent component analysis to examine functional connectivity differences between 151 schizophrenia patients and 163 healthy controls. The data were decomposed into 100 components, with 47 identified as intrinsic connectivity networks (ICNs). Static analysis showed patients had stronger connectivity between the thalamus and sensory networks (auditory, motor, visual) and reduced connectivity between sensory networks. Dynamic analysis revealed that patients spent less time in states with strong, large-scale connectivity and showed more pronounced abnormal connectivity patterns in these states. Specifically, states with cortical-subcortical antagonism and strong positive connectivity between sensory networks showed group differences in thalamic hyperconnectivity and sensory hypoconnectivity. Dynamic analysis also revealed hypoconnectivity between the putamen and sensory networks during these states, not observed in static analysis. Post-hoc analyses showed altered relationships between subcortical low-frequency power and connectivity with sensory networks in patients. While important differences were identified, results should be interpreted cautiously due to medication history. The study supports the use of dynamic analysis to better understand functional connectivity differences in schizophrenia.Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. This study used resting-state fMRI and independent component analysis to examine functional connectivity differences between 151 schizophrenia patients and 163 healthy controls. The data were decomposed into 100 components, with 47 identified as intrinsic connectivity networks (ICNs). Static analysis showed patients had stronger connectivity between the thalamus and sensory networks (auditory, motor, visual) and reduced connectivity between sensory networks. Dynamic analysis revealed that patients spent less time in states with strong, large-scale connectivity and showed more pronounced abnormal connectivity patterns in these states. Specifically, states with cortical-subcortical antagonism and strong positive connectivity between sensory networks showed group differences in thalamic hyperconnectivity and sensory hypoconnectivity. Dynamic analysis also revealed hypoconnectivity between the putamen and sensory networks during these states, not observed in static analysis. Post-hoc analyses showed altered relationships between subcortical low-frequency power and connectivity with sensory networks in patients. While important differences were identified, results should be interpreted cautiously due to medication history. The study supports the use of dynamic analysis to better understand functional connectivity differences in schizophrenia.