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Detail

Christian Windischberger
Assoc.-Prof. Priv.-Doz. DI Dr. Christian Windischberger

Center for Medical Physics and Biomedical Engineering
Position: Associate Professor

ORCID: 0000-0002-9944-0190
T +43 1 40400 64630
christian.windischberger@meduniwien.ac.at

Further Information

Keywords

Amygdala; Brain Mapping; Diffusion Magnetic Resonance Imaging; Emotions; Frontal Lobe; Functional Neuroimaging; Magnetic Resonance Imaging; Motor Cortex; Retinotopy; Transcranial Magnetic Stimulation; Transcranial Ultrasound Stimulation; Visual Cortex

Research group(s)

Research interests

We are a functional neuroimaging research group at the Center for Medical Physics and Biomedical Engineering and the MR Center of Excellence at the Medical University of Vienna, Austria. Closely connected to the Vienna General Hospital (AKH Wien), one of the largest hospitals in the world, and not too far away from the University of Vienna, the MR Center is an ideal place for our fMRI group for interdisciplinary clinical and basic biomedical research, as well as collaborations in biological psychology and cognitive science projects. Furthermore, the improvement and development of novel acquisition, data processing and analysis methods are central topics of our group.

Techniques, methods & infrastructure

  • Functional magnetic resonance imaging (fMRI)
  • Ultra-high field fMRI (7 Tesla)
  • Transcranial magnetic stimulation (TMS)
  • Transcranial ultrasound stimulation (TUS)
  • Neuronavigation

Grants

Selected publications

  1. Rütgen, M. et al., 2015. Placebo analgesia and its opioidergic regulation suggest that empathy for pain is grounded in self pain. Proc Natl Acad Sci USA, 112(41), pp.E5638-E5646. Available at: http://dx.doi.org/10.1073/pnas.1511269112.
  2. Tik, M. et al. (2023) ‘Concurrent TMS/fMRI reveals individual DLPFC dose-response pattern’, NeuroImage, 282, p. 120394. Available at: https://doi.org/10.1016/j.neuroimage.2023.120394.
  3. Mittal, S. et al. (2026) ‘GEM-pRF: GPU-empowered mapping of population receptive fields for large-scale fMRI analysis’, Medical Image Analysis, 109, p. 103891. Available at: https://doi.org/10.1016/j.media.2025.103891.
  4. Biswal, B.B. et al., 2010. Toward discovery science of human brain function. Proceedings of the National Academy of Sciences, 107(10), pp.4734-4739. Available at: http://dx.doi.org/10.1073/pnas.0911855107.
  5. Grosshagauer, S. et al. (2026) ‘Reducing target E-field variability in repetitive TMS through online motion compensation’, Brain Stimulation, 19(1), p. 102990. Available at: https://doi.org/10.1016/j.brs.2025.102990.