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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