Publications
Point-process deconvolution of fMRI BOLD signal reveals effective connectivity alterations in chronic pain patients Ghent University
Dynamic causal modeling of the effective connectivity between the cerebrum and cerebellum in social mentalizing across five studies Vrije Universiteit Brussel Ghent University
In this analysis we explored the effective connectivity of the cerebellum with the cerebrum in social mentalizing, across five studies (n = 91) involving abstract and complex forms of mentalizing, such as (a) person and group impression formation, based on behavioral descriptions, and (b) constructing personal counterfactual events. Connectivity was analyzed by applying dynamic causal model analysis, which revealed effective connectivity ...
Investigation on how dynamic effective connectivity patterns encode the fluctuating pain intensity in chronic migraine Vrije Universiteit Brussel Ghent University
Chronic migraine is characterised by persistent headaches for >15 days per month; the intensity of the pain is fluctuating over time. Here, we explored the dynamic interplay of connectivity patterns between regions known to be related to pain processing and their relation to the ongoing dynamic pain experience. We recorded EEG from 80 sessions (20 chronic migraine patients in 4 separate sessions of 25 min). The patients were asked to ...
A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data Ghent University
The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI Ghent University
Effective resting-state connectivity in severe unipolar depression before and after electroconvulsive therapy KU Leuven
Variability and reliability of effective connectivity within the core default mode network Vrije Universiteit Brussel Ghent University
Dynamic causal modelling (DCM) for resting state fMRI - namely spectral DCM - is a recently developed and widely adopted method for inferring effective connectivity in intrinsic brain networks. Most applications of spectral DCM have focused on group-averaged connectivity within large-scale intrinsic brain networks; however, the consistency of subject- and session-specific estimates of effective connectivity has not been evaluated. ...