Dr. Stefan Frässle


Translational Neuromodeling Unit
Institut für Biomedizinische Technik
Universität Zürich und ETH Zürich
Stefan Frässle
Wilfriedstrasse 6
8032 Zürich

Telefon:044 634 91 14
Büro:WIL G-202



Stefan Frässle studied Physics at the University of Konstanz and the Philipps-University Marburg. He obtained his PhD at the Laboratory for Multimodal Neuroimaging (Philipps-University Marburg) under the supervision of Andreas Jansen, including guest visits in the Vision Science Laboratory at the Harvard University and the Translational Neuromodeling Unit (TNU) at the University of Zurich and ETH Zurich. During his graduate training, Stefan developed a dynamic causal modeling (DCM) framework for studying hemispheric lateralization of the human brain – in particular, of the core face perception network. He also investigated the stability of DCM in terms of its test-retest reliability, which denotes a necessary condition for the use of such models in a clinical setting. Since March 2016, Stefan has joined the TNU as an ETH Zurich Postdoctoral Fellow under the supervision of Klaas Enno Stephan. At the TNU, Stefan aims to develop new variants of DCM which advance the utility of computational models for clinical diagnosis. These advances include (i) a novel approach for applying non-linear computational models directly to voxel-wise fMRI timeseries, and (ii) a large-scale DCM approach that enables studying effective connectivity across the whole brain. To demonstrate their validity and utility for clinical applications, these approach will then be challenged with real-world data from pharmacological and patient studies.


Research Funding

ExInit PhD Scholarship (Philipps-University Marburg): 2012-2015

ETH Zurich Postdoctoral Fellowship: 2016-2018

UZH Forschungskredit Postdoc: 2018-2019


Selected Publications

Frässle, S.*Lomakina E.I.*, Kasper L., Manjaly Z.M., Leff A., Pruessmann K.P., Buhmann J.M., Stephan K.E., 2018. A generative model of whole-brain effective connectivity. Neuroimage, in press.

Frässle, S., Yao, Y., Schöbi, D., Aponte, E.A., Heinzle, J. & Stephan, K.E., 2018. Generative models for clinical applications in computational psychiatry. WIREs Cognitive Science 9(3):e1460. doi: 10.1002/wcs.1460.

Frässle, S.*, Lomakina E.I.*, Razi, A., Friston, K.J., Buhmann, J.M. & Stephan, K.E., 2017. Regression DCM for fMRI. Neuroimage doi:10.1016/j.neuroimage.2017.02.090.

Frässle, S., Paulus, F.M., Krach, S. & Jansen, A., 2016. Test-retest reliability of effective connectivity in the face perception network. Hum Brain Mapp 37, 730-744.

Frässle, S., Paulus, F.M., Schweinberger, S.R., Stephan, K.E. & Jansen, A., 2016. Mechanisms of hemispheric lateralization: Asymmetric interhemispheric recruitment in the face perception network. Neuroimage 124, 977-988. 

Frässle, S., Stephan, K.E., Friston, K.J., Steup, M., Krach, S., Paulus, F.M. & Jansen, A., 2015. Test-retest reliability of dynamic causal modeling for fMRI. Neuroimage 117, 56-66.


Profiles at ResearchGatePubmed or GoogleScholar.