Abstract #2411

Investigation of Physiological Variability Effects on fMRI Dynamic Functional Connectivity using Independent Component Analysis

Foivia Nikolaou^1,2, Christina Orphanidou², Kevin Murphy³, Richard G. Wise³, and Georgios D. Mitsis⁴

¹Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus, ²KIOS Research and Innovation Center of Excellence, Nicosia, Cyprus, ³Cardiff University Brain Research Imaging Center (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, ⁴Department of Bioengineering, McGill University, Montreal, QC, Canada

The BOLD fMRI signal is influenced not only by neuronal activity but also by fluctuations in physiological signals. It has been shown that estimates of resting dynamic functional connectivity (DFC) may be confounded by the effects of physiological signal fluctuations. Here we examine the relation between DFC patterns for the DMN, visual and somatosensory networks and the time-varying properties of simultaneously recorded end-tidal CO2 and HR signals by using resting-state fMRI data and several variants of ICA. A modulatory effect, which was more pronounced in specific frequency bands, of the physiological signals on the resting DFC patterns is revealed.

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