Recently, non-linear statistical measures such as multi-scale entropy (MSE) have been introduced as indices of the complexity of BOLD fMRI time-series across multiple time scales. In this work, we investigated the neurophysiological underpinnings of complexity (MSE) of electrophysiology and fMRI signals and their relations to functional connectivity (FC). We include both simulation data using neural mess model based brain network model and animal models with concurrent recording of fMRI and electrophysiology in conjunction with pharmacological manipulations. Our results show that the complexity of regional electrophysiology and fMRI signals is positively correlated with network FC.
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