Frederik Van de Steen

The paper uses dynamic causal modelling to show that intrinsic disinhibition in higher visual cortex contributes to alpha power differences between eyes-open and eyes-closed states.

This study investigates how dynamic effective connectivity patterns in EEG data relate to fluctuating pain intensity in chronic migraine patients using Bayesian models.

This paper uses computational modeling to show that changes in posterior hot zone and frontoparietal connectivity during propofol anaesthesia correlate with loss of consciousness.

The paper evaluates the impact of global signal regression on functional connectivity and finds that blood flow and global signal contribute differently across brain networks.

This study evaluates the impact of global signal regression on DCM estimates of noise and effective connectivity in resting state fMRI, finding minimal effects on connectivity but caution in interpreting noise parameters.

This study examines functional reorganization in children after hemispherotomy, finding altered perfusion and connectivity patterns in the remaining hemisphere.

This study evaluates how head volume conduction affects directional connectivity estimates from EEG source reconstruction using simulations and multiple connectivity measures.

This study uses dynamic causal modelling to analyze fluctuations in resting-state EEG connectivity, finding both subject-specific and common components in network connectivity patterns.

This study evaluates the reliability of effective connectivity in the default mode network using longitudinal fMRI data and finds that hemispheric asymmetry and Bayesian model reduction improve consistency.