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Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data
, Article Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization ; 2022 ; 21681163 (ISSN) ; Ghahari, S ; Fatemizadeh, E ; Motie Nasrabadi, A ; Sharif University of Technology
Taylor and Francis Ltd
2022
Abstract
In recent years, the regression dynamic causal modelling (rDCM) method was introduced as a new version of dynamic causal modelling (DCM) to derive effective connectivity in whole-brain networks for functional magnetic resonance imaging (fMRI) data. In this research, we used data obtained while applying the stimulation of audio movie comprised different emotional states. We applied this method to two networks consisting of ten auditory and forty-four regions, respectively. This method was used to study effective connections between emotional states and represent the distinction between emotions. Finally, significant effective connections were found in emotional processing and auditory...