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Abstract #3120

Temporal variations in the resting-state fMRI global signal amplitude are correlated with time-varying measures of network topology parameters and EEG vigilance

Chi Wah Wong 1 , Valur Olafsson 1,2 , Omer Tal 1 , and Thomas Liu 1

1 Center for Functional MRI, University of California San Diego, La Jolla, CA, United States, 2 Neuroscience Imaging Center, University of Pittsburgh, PA, United States

A prior study has shown that the resting-state fMRI global signal amplitude is inversely correlated with a measure of EEG vigilance. In this study, we applied a sliding window approach to examine how the temporal dynamics of the global signal amplitude are related to the dynamics of network topology and EEG vigilance. We found that the temporal variations in the global signal amplitude are positively correlated with the time-varying clustering coefficient and negatively correlated with time-varying measures of characteristic path length and EEG vigilance.

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