The conventional analysis assumes a constant mental state during scanning and assesses the strength of functional connectivity as the average of the entire fMRI data. However, it is suggested that even at rest, functional connectivity may change with time, and the conventional analysis has not been able to fully evaluate its properties. To overcome this limitation, many studies propose an index called dynamic functional connectivity (dFC) or time-varying functional connectivity (TVFC) or the chronnectome. This article reviews the significance and methods of dFC, examples of its application in clinical studies, and its limitations. Finally, we discuss its potential for clinical application.