Analysis of dynamic functional connectivity enables identification of spatio-temporal variations in functional connectivity. This is useful in identifying transient states of abnormalities in various brain disorders. Tourette syndrome (TS) is a neurodevelopmental disorder characterized by multiple motor and at least one vocal or phonic tic. We identified eight distinct states in TS patients and healthy controls (HC) using spectral clustering. Our results show preferential state dominance and increased inter-state variability in TS patients as compared to healthy controls.