Personal profile
Research interests
The general aim of my research is to understand the neural basis of psychiatric disorders. We focus on what makes someone vulnerable to the development of psychiatric disorders, on how various treatments exert their effect, and on the development of neuroimaging biomarkers that predict clinical outcome. To address these questions, we combine noninvasive neuroimaging techniques with psychological, pharmacological, and neurostimulation treatments, and with machine learning analysis.
Specialisation
Keywords
- RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
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Collaborations and top research areas from the last five years
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Individual white matter bundle trajectories are associated with deep brain stimulation response in obsessive-compulsive disorder
Liebrand, L. C., Caan, M. W. A., Schuurman, P. R., van den Munckhof, P., Figee, M., Denys, D. & van Wingen, G. A., 1 Mar 2019, In: Brain stimulation. 12, 2, p. 353-360Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression
van Waarde, J. A., Scholte, H. S., van Oudheusden, L. J. B., Verwey, B., Denys, D. & van Wingen, G. A., 2015, In: Molecular psychiatry. 20, 5, p. 609-614Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile23 Downloads (Pure) -
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium
ENIGMA-OCD Working-Group, 2023, In: Molecular psychiatry. 28, p. 4307-4319 13 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile42 Downloads (Pure) -
Replicable brain–phenotype associations require large-scale neuroimaging data
Liu, S., Abdellaoui, A., Verweij, K. J. H. & van Wingen, G. A., Aug 2023, In: Nature Human Behaviour. 7, 8, p. 1344-1356 13 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile45 Downloads (Pure) -
Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
PsyMRI, Jul 2023, In: Molecular psychiatry. 28, 7, p. 3013-3022 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile44 Downloads (Pure)