Hannes Almgren

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 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.