This study investigates functional connectivity differences between patients with schizophrenia (SZ) and healthy controls (HC) using resting-state fMRI data from 151 SZ patients and 163 HC participants. The authors decomposed the functional brain data into 100 components and identified 47 intrinsic connectivity networks (ICNs). They evaluated group differences in static and dynamic functional network connectivity (FNC). Static FNC analysis revealed that SZ patients showed stronger connectivity between the thalamus and sensory networks (auditory, motor, and visual) compared to HC, while reduced connectivity within sensory networks. Dynamic FNC analysis identified five discrete functional connectivity states, with SZ patients showing more pronounced abnormal connectivity traits in states characterized by strong, large functional connectivity, particularly in cortical-subcortical antagonism and increased connectivity within sensory networks. The study also found hypoconnectivity between the putamen and sensory networks during states of thalamic hyperconnectivity, which was not observed in static FNC analysis. Post-hoc analyses showed altered relationships between subcortical low-frequency power and connectivity with sensory networks in SZ patients. The findings support the hypothesis of dysconnectivity in schizophrenia and advocate for the use of dynamic analyses to better understand functional connectivity differences.This study investigates functional connectivity differences between patients with schizophrenia (SZ) and healthy controls (HC) using resting-state fMRI data from 151 SZ patients and 163 HC participants. The authors decomposed the functional brain data into 100 components and identified 47 intrinsic connectivity networks (ICNs). They evaluated group differences in static and dynamic functional network connectivity (FNC). Static FNC analysis revealed that SZ patients showed stronger connectivity between the thalamus and sensory networks (auditory, motor, and visual) compared to HC, while reduced connectivity within sensory networks. Dynamic FNC analysis identified five discrete functional connectivity states, with SZ patients showing more pronounced abnormal connectivity traits in states characterized by strong, large functional connectivity, particularly in cortical-subcortical antagonism and increased connectivity within sensory networks. The study also found hypoconnectivity between the putamen and sensory networks during states of thalamic hyperconnectivity, which was not observed in static FNC analysis. Post-hoc analyses showed altered relationships between subcortical low-frequency power and connectivity with sensory networks in SZ patients. The findings support the hypothesis of dysconnectivity in schizophrenia and advocate for the use of dynamic analyses to better understand functional connectivity differences.