Author

Hannelore Aerts

Ghent UniversityORCID 0000-0002-8806-7482Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Research Focus:trajectory inference· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Assay:electronic health records· 1

Frequent Co-Authors

Daniele MarinazzoiD· 4 shared Ben JeurisseniD· 2 shared Dirk Van RoostiD· 2 shared Eric AchteniD· 2 shared Michael SchirneriD· 2 shared Petra RitteriD· 2 shared Thijs DhollanderiD· 2 shared Javier RaseroiD· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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4 shared papersNeuroscience

Daniele MarinazzoORCID

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4 papers

Recent·Most cited

Modeling brain dynamics after tumor resection using The Virtual Brain

Hannelore Aerts, Michael Schirner, Thijs Dhollander, Ben Jeurissen, Eric Achten, Dirk Van Roost, Petra Ritter, Daniele Marinazzo

This study evaluates brain network models to predict brain dynamics after tumor resection by comparing parameter stability in patients and healthy controls.

NeuroImage · Mar 16, 2020Peer-reviewedNeuroscience

Evaluating the performance of 3-tissue constrained spherical deconvolution pipelines for within-tumor tractography

Hannelore Aerts, Thijs Dhollander, Daniele Marinazzo

This study evaluates 3-tissue constrained spherical deconvolution pipelines for within-tumor tractography, finding that single-shell 3-tissue CSD enables tractography in infiltrating gliomas without increasing dMRI acquisition requirements.

bioRxiv · May 7, 2019 · PreprintNeuroscience

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

Javier Rasero, Hannelore Aerts, Marlis Ontivero-Ortega, Jesús M. Cortés, Sebastiano Stramaglia, Daniele Marinazzo

The paper uses machine learning to compare brain network configurations in task-based and resting-state fMRI data, finding that task-related areas show consistent connectivity patterns while others differ.

PLoS ONE · Nov 12, 2018Peer-reviewedNeuroscience

Modeling brain dynamics in brain tumor patients using The Virtual Brain

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

The paper uses The Virtual Brain to model brain dynamics in brain tumor patients and controls, finding that individualized model parameters improve functional connectivity prediction and correlate with structural network topology and cognitive performance.

eNeuro · May 1, 2018Peer-reviewedNeuroscience