Prokopis C. Prokopiou

Global signal regression reduces connectivity patterns related to physiological signals and does not alter EEG-derived connectivity

This study examines the impact of global signal regression on resting-state fMRI connectivity, finding it reduces physiological artifacts while preserving electrophysiological connectivity patterns.

Modeling the hemodynamic response function using EEG-fMRI data during eyes-open resting-state conditions and motor task execution

This paper models the hemodynamic response function using EEG-fMRI data during resting-state and motor tasks, finding frequency-specific and region-specific contributions to BOLD signal variance.

Modeling the hemodynamic response function using simultaneous EEG-fMRI data and convolutional sparse coding analysis with rank-1 constraints

This paper proposes using simultaneous EEG-fMRI and convolutional sparse coding to model the hemodynamic response function, finding that lower amplitude BOLD peaks also contain important activity information.

Modeling of dynamic cerebrovascular reactivity to spontaneous and externally induced CO2 fluctuations in the human brain using BOLD-fMRI

This paper models dynamic cerebrovascular reactivity to CO2 fluctuations using BOLD-fMRI, revealing regional variability and distinct dCVR patterns under different conditions.