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Frederik van de Steen

3 papers in the library · 30 citations · publishing 2018-2021

Papers

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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness

Neuroimage February 9, 2021 Riku Ihalainen, Olivia Gosseries, Frederik van de Steen et al. 30 citations

In recent years, specific cortical networks have been proposed to be crucial for sustaining consciousness, including the posterior hot zone and frontoparietal resting state networks (RSN). Here, we computationally evaluate the relative contributions of three RSNs - the default mode network (DMN), the salience network (SAL), and the central executive network (CEN) - to consciousness and its loss...

Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study.

Neuroimage December 2018 Hannes Almgren, Frederik van de Steen, Simone Kühn et al.

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...

DOI: 10.1016/j.neuroimage.2018.08.053 (opens in new tab) Full text (opens in new tab) Dynamic causal modelling Effective connectivity Longitudinal designs Reliability +3

Variability and reliability of effective connectivity within the core default mode network: A longitudinal spectral DCM study

Hannes Almgren, Frederik van de Steen, Simone Kühn et al. preprint

Abstract: 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 research applying spectral DCM has focused on group-averaged connectivity within large-scale intrinsic brain networks; however, the consistency of subject- and session-specific estimates...