Ali Mohammad Golestani1, Bradley Goodyear2
1Electrical & Computer Engineering, University of Calgary, Calgary, Alberta, Canada; 2Radiology & Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
In this study we introduce a time-frequency approach based on the Stockwell transform to quantify resting-state connectivity and compare its reproducibility to cross-correlation and coherence. Our results show that Stockwell coherence is not susceptible to changes in TR and scan duration and does not differ between sessions, whereas cross-correlation and coherence exhibit dependencies on TR and scan duration, respectively. Stockwell coherence also exhibits a significantly lower coefficient of variation across imaging sessions. Hence, Stockwell coherence is a potentially useful tool for resting-state connectivity analysis, even in the presence of intermittent disruptions of the resting state.