Ghent University Academic Bibliography

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Dynamic causal modelling of fluctuating connectivity in resting-state EEG

Frederik Van de Steen (UGent) , Hannes Almgren (UGent) , Adeel Razi, Karl Friston and Daniele Marinazzo (UGent)

(2019) NeuroImage.
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- conference
How cognitive control modulates intrinsic connectivity: A dynamic causal modeling study for cross-spectral density using Bayesian belief updating

Katharina Wegner (UGent) , Charles R.E. Wilson, Emmanuel Procyk and Daniele Marinazzo (UGent)

(2019)
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- journalArticle
- A1
Hemodynamic response function (HRF) variability confounds resting-state fMRI functional connectivity

Rangaprakash Deshpande, Guo-Rong Wu, Daniele Marinazzo (UGent) , Xiaoping Hu and Gopikrishna Deshpande

(2018) MAGNETIC RESONANCE IN MEDICINE.
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Dilution of ferromagnets via a random graph-based strategy

Marco Alberto Javarone and Daniele Marinazzo (UGent)

(2018) COMPLEXITY.
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- journalArticle
- A1
Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study

Hannes Almgren (UGent) , Frederik Van de Steen (UGent) , Simone Kühn, Adeel Razi, Karl Friston and Daniele Marinazzo (UGent)

(2018) NeuroImage.
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- journalArticle
- open access
Modeling brain dynamics in brain tumor patients using the virtual brain

Hannelore Aerts (UGent) , Michael Schirner, Ben Jeurissen, Dirk Van Roost (UGent) , Eric Achten (UGent) , Petra Ritter and Daniele Marinazzo (UGent)

(2018) ENEURO. 5(3).
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- journalArticle
- A2
- open access
Parameterized hemodynamic response function data of healthy individuals obtained from resting-state functional MRI in a 7T MRI scanner

D. Rangaprakash, Guo-Rong Wu, Daniele Marinazzo (UGent) , Xiaoping Hu and Gopikrishna Deshpande

(2018) DATA IN BRIEF. 17. p.1175-1179
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- journalArticle
- A1
- open access
Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI data

Javier Rasero, Hannelore Aerts (UGent) , Marlis Ontivero Ortega, Jesus M. Cortes, Sebastiano Stramaglia and Daniele Marinazzo (UGent)

(2018) PLOS ONE. 13(11).
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- journalArticle
- A2
- open access
Connectome sorting by Consensus Clustering increases separability in group neuroimaging studies

Javier Rasero, Ibai Diez, Jesus M Cortes, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2018) NETWORK NEUROSCIENCE. p.1-36
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- journalArticle
- A1
- open access
Evolutionary dynamics of group formation

Marco Alberto Javarone and Daniele Marinazzo (UGent)

(2017) PLOS ONE. 12(11).

Academic Bibliography

Dynamic causal modelling of fluctuating connectivity in resting-state EEG

How cognitive control modulates intrinsic connectivity: A dynamic causal modeling study for cross-spectral density using Bayesian belief updating

Hemodynamic response function (HRF) variability confounds resting-state fMRI functional connectivity

Dilution of ferromagnets via a random graph-based strategy

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

Modeling brain dynamics in brain tumor patients using the virtual brain

Parameterized hemodynamic response function data of healthy individuals obtained from resting-state functional MRI in a 7T MRI scanner

Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI data

Connectome sorting by Consensus Clustering increases separability in group neuroimaging studies

Evolutionary dynamics of group formation

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