Publications
Gradients of O-information highlight synergy and redundancy in physiological applications Ghent University
The study of high order dependencies in complex systems has recently led to the introduction of statistical synergy, a novel quantity corresponding to a form of emergence in which patterns at large scales are not traceable from lower scales. As a consequence, several works in the last years dealt with the synergy and its counterpart, the redundancy. In particular, the O-information is a signed metric that measures the balance between redundant ...
The impact of ROI extraction method for MEG connectivity estimation : practical recommendations for the study of resting state data Ghent University
Magnetoencephalography and electroencephalography (M/EEG) seed-based connectivity analysis typically requires regions of interest (ROI)-based extraction of measures. M/EEG ROI-derived source activity can be treated in different ways. For instance, it is possible to average each ROI's time series prior to calculating connectivity measures. Alternatively one can compute connectivity maps for each element of the ROI, prior to dimensionality ...
Fuzzy deconvolution of neuronal events in Functional Magnetic Resonance Imaging Ghent University
The variability in the shape of the Blood Oxygenation Level Dependent (BOLD) response, as measured in Functional Magnetic Resonance Imaging (fMRI), can introduce significant uncertainty and inaccuracies in estimating brain connectivity and detecting brain activity. To address this issue, this paper proposes a fuzzy method that offers enhanced robustness in dealing with the inherent uncertainty associated with the brain's response in fMRI data. ...
Brain simulation as a cloud service : the Virtual Brain on EBRAINS Ghent University
The Virtual Brain (TVB) is now available as open-source services on the cloud research platform EBRAINS. It offers software for constructing, simulating and analysing brain network models including the TVB simulator; magnetic resonance imaging (MRI) processing pipelines to extract structural and functional brain networks; combined simulation of large-scale brain networks with small-scale spiking networks; automatic conversion of user-specified ...
Quantifying high-order interdependencies on individual patterns via the local O-information : theory and applications to music analysis Ghent University
High-order, beyond-pairwise interdependencies are at the core of biological, economic, and social complex systems, and their adequate analysis is paramount to understand, engineer, and control such systems. This paper presents a framework to measure high-order interdependence that disentangles their effect on each individual pattern exhibited by a multivariate system. The approach is centered on the local O-information, a new measure that ...
Theta-phase connectivity between medial prefrontal and posterior areas underlies novel instructions implementation Ghent University
Implementing novel instructions is a complex and uniquely human cognitive ability, which requires the rapid and flexible conversion of symbolic content into a format that enables the execution of the instructed behavior. Preparing to implement novel instructions, as opposed to their mere maintenance, involves the activation of the instructed motor plans, and the binding of the action information to the specific context in which this should be ...
Approaching or decentering? Differential neural networks underlying experiential emotion regulation and cognitive defusion Ghent University Vrije Universiteit Brussel
The current study investigated experiential emotion regulation. Rooted in an experien-tial- and client-centered psychotherapeutic approach, experiential emotion regulation involves an active, non-intervening, accepting, open and welcoming approach towards the bodily felt affec-tive experience in a welcoming, compassionate way, expressed in ‘experiential awareness’ in a first phase, and its verbalization or ‘experiential expression’ in a second ...
Inclusion of instantaneous influences in the spectral decomposition of causality : application to the control mechanisms of heart rate variability Ghent University
Heart rate variability is the result of several physiological regulation mechanisms, including cardiovascular and cardiorespiratory interactions. Since instantaneous influences occurring within the same cardiac beat are commonplace in this regulation, their inclusion is mandatory to get a realistic model of physiological causal interactions. Here we exploit a recently proposed framework for the spectral decomposition of causal influences between ...
Disambiguating the role of blood flow and global signal with partial information decomposition Ghent University
Global signal (GS) is an ubiquitous construct in resting state functional magnetic resonance imaging (rs-fMRI), associated to nuisance, but containing by definition most of the neuronal signal. Global signal regression (GSR) effectively removes the impact of physiological noise and other artifacts, but at the same time it alters correlational patterns in unpredicted ways. Performing GSR taking into account the underlying physiology (mainly the ...