Academic Bibliography

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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
- open access
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
- A2
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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.
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- journalArticle
- A2
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.
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- journalArticle
- A1
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Ising model with conserved magnetization on the human connectome : implications on the relation structure-function in wakefulness and anesthesia

S Stramaglia, M Pellicoro, L. Angelini, E Amico, H Aerts, JM Cortés, S Laureys and Daniele Marinazzo (UGent)

(2017) CHAOS. 27(4).
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- journalArticle
- A1
- open access
Multiscale granger causality

Luca Faes, Giandomenico Nollo, Sebastiano Stramaglia and Daniele Marinazzo (UGent)

(2017) PHYSICAL REVIEW E . 96(4).
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- journalArticle
- A2
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Consensus clustering approach to group brain connectivity matrices

Javier Rasero, Mario Pellicoro, Leonardo Angelini, Jesus M Cortes, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2017) NETWORK NEUROSCIENCE. 1(3). p.242-253
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- journalArticle
- A2
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On the interpretability and computational reliability of frequency-domain Granger causality

Luca Faes, Sebastiano Stramaglia and Daniele Marinazzo (UGent)

(2017) F1000RESEARCH. 6.
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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

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

Ising model with conserved magnetization on the human connectome : implications on the relation structure-function in wakefulness and anesthesia

Multiscale granger causality

Consensus clustering approach to group brain connectivity matrices

On the interpretability and computational reliability of frequency-domain Granger causality

Evolutionary dynamics of group formation

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