Publikationen von Klaas Enno Stephan

Aponte, E. A.; Tschan, D. G.; Stephan, K. E.; Heinzle, J.: Inhibition failures and late errors in the antisaccade task: Influence of cue delay. Journal of Neurophysiology 120 (6), S. 3001 - 3016 (2018)

Elbau, I.; Brücklmeier, B.; Uhr, M.; Arloth, J.; Czamara, D.; Spoormaker, V. I.; Czisch, M.; Stephan, K. E.; Binder, E. B.; Sämann, P. G.: The brain's hemodynamic response function rapidly changes under acute psychosocial stress in association with genetic and endocrine stress response markers. Proceedings of the National Academy of Sciences of the United States of America 115 (43), S. E10206 - E10215 (2018)

Kasper, L.; Engel, M.; Barnet, C.; Haeberlin, M.; Wilm, B. J.; Dietrich, B. E.; Schmid, T.; Gross, S.; Brunner, D. O.; Stephan, K. E. et al.; Pruessmann, K. P.: Rapid anatomical brain imaging using spiral acquisition and an expanded signal model. NeuroImage 168 (SI), S. 88 - 100 (2018)

Stefanics, G.; Heinzle, J.; Horvath, A. A.; Stephan, K. E.: Visual mismatch and predictive coding: A computational single-trial ERP study. The Journal of Neuroscience 38 (16), S. 4020 - 4030 (2018)

Bollmann, S.; Kasper, L.; Vannesjo, S. J.; Diaconescu, A. O.; Dietrich, B. E.; Gross, S.; Stephan, K. E.; Pruessmann, K. P.: Analysis and correction of field fluctuations in fMRI data using field monitoring. NeuroImage 154, S. 92 - 105 (2017)

Diaconescu, A. O.; Mathys, C.; Weber, L. A.E.; Kasper, L.; Mauer, J.; Stephan, K. E.: Hierarchical prediction errors in midbrain and septum during social learning. Social Cognitive and Affective Neuroscience 12 (4), S. 618 - 634 (2017)

Iglesias, S.; Tomiello, S.; Schneebeli, M.; Stephan, K. E.: Models of neuromodulation for computational psychiatry. Wiley Interdisciplinary Reviews: Cognitive Science 8 (5), e1420 (2017)

Kasper, L.; Bollmann, S.; Diaconescu, A. O.; Hutton, C.; Heinzle, J.; Iglesias, S.; Hauser, T. U.; Sebold, M.; Manjaly, Z.-M.; Pruessmann, K. P. et al.; Stephan, K. E.: The PhysIO toolbox for modeling physiological noise in fMRI data. Journal of Neuroscience Methods 276, S. 56 - 72 (2017)

Petzschner, F. H.; Weber, L. A.E.; Gard, T.; Stephan, K. E.: Computational psychosomatics and computational psychiatry: Toward a joint framework for differential diagnosis. Biological Psychiatry 82 (6, SI), S. 421 - 430 (2017)

Stephan, K. E.; Schlagenhauf, F.; Huys, Q. J.M.; Raman, S.; Aponte, E. A.; Brodersen, K. H.; Rigoux, L.; Moran, R. J.; Daunizeau, J.; Dolan, R.J. et al.; Friston, K.J.; Heinz, A.: Computational neuroimaging strategies for single patient predictions. NeuroImage 145, S. 180 - 199 (2017)

Wiehler, A.; Petzschner, F. H.; Stephan, K. E.; Peters, J.: Episodic tags enhance striatal valuation signals during temporal discounting in pathological gamblers. eNeuro 4 (4), UNSP e0159-17.2017 (2017)

Aponte, E.; Raman, S.; Sengupta, B.; Penny, W. D.; Stephan, K. E.; Heinzle, J.: Mpdcm: A toolbox for massively parallel dynamic causal modeling. Journal of Neuroscience Methods 257, S. 7 - 16 (2016)

Freund, P.; Friston, K. J.; Thompson, A. J.; Stephan, K. E.; Ashburner, J.; Bach, D. R.; Nagy, Z.; Helms, G.; Draganski, B.; Mohammadi, S. et al.; Schwab, M. E.; Curt, A.; Weiskopf, N.: Embodied neurology: an integrative framework for neurological disorders. Brain 139 (Pt. 6), S. 1855 - 1861 (2016)

Haker, H.; Schneebeli, M.; Stephan, K. E.: Can Bayesian theories of autism spectrum disorder help improve clinical practice? Frontiers in Psychiatry 7, 107 (2016)

Heinzle, J.; Aponte, E. A.; Stephan, K. E.: Computational models of eye movements and their application to schizophrenia. Current Opinion in Behavioral Sciences 11, S. 21 - 29 (2016)

Heinzle, J.; Koopmans, P. J.; den Ouden, H. E.M.; Raman, S.; Stephan, K. E.: A hemodynamic model for layered BOLD signals. NeuroImage 125, S. 556 - 570 (2016)

Marshall, L.; Mathys, C.; Ruge, D.; de Berker, A. O.; Dayan, P.; Stephan, K. E.; Bestmann, S.: Pharmacological fingerprints of contextual uncertainty. PLoS Biology 14 (11), e1002575 (2016)

Raman, S.; Deserno, L.; Schlagenhauf, F.; Stephan, K. E.: A hierarchical model for integrating unsupervised generative embedding and empirical Bayes. Journal of Neuroscience Methods 269, S. 6 - 20 (2016)

Stephan, K. E.; Bach, D. R.; Fletcher, P. C.; Flint, J.; Frank, M. J.; Friston, K. J.; Heinz, A.; Huys, Q. J. M.; Owen, M. J.; Binder, E. B. et al.; Dayan, P.; Johnstone, E. C.; Meyer-Lindenberg, A.; Montague, P. R.; Schnyder, U.; Wang, X.-J.; Breakspear, M.: Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis. Lancet Psychiatry 3 (1), S. 77 - 83 (2016)

Stephan, K. E.; Binder, E. B.; Breakspear, M.; Dayan, P.; Johnstone, E. C.; Meyer-Lindenberg, A.; Schnyder, U.; Wang, X.-J.; Bach, D. R.; Fletcher, P. C. et al.; Flint, J.; Frank, M. J.; Heinz, A.; Huys, Q. J. M.; Montague, P. R.; Owen, M. J.; Friston, K. J.: Charting the landscape of priority problems in psychiatry, part 2: pathogenesis and aetiology. Lancet Psychiatry 3 (1), S. 84 - 90 (2016)