Publications

WHAT's OUT tHERE

2024

Weber, L.A., Yee, D. M., Small, D. M., & Petzschner, F. H. Rethinking reinforcement learning: The interoceptive origin of reward. https://doi.org/10.31234/osf.io/be6nv, 2024

Rigoux, L, Stephan K.E., and Petzschner F.H. Beliefs, Compulsive Behavior and Reduced Confidence in Control. PLoS Comput Biol 20(6): e1012207. https://doi.org/10.1371/journal.pcbi.1012207, 2024

Petzschner F. H.: Practical Challenges for Precision Medicine. Science 383 (6679): 149-150. PMID: 38207033, 2024

Zimmerman C.S., Heffner J., Bruinsma S., Corinha M., Cortinez M., Dalton H., Duong E., Lu J., Omar A., Owen L.L.W., Roarr B.N., Tang K., Petzschner F.H.SOMAScience: A novel platform for multidimensional, longitudinal pain assessment. JMIR mHealth and uHealth 12 (1), e47177

2023

Conceição V.A.*, Petzschner F.H.*, Cole D.M., Wellstein K.V. , Müller D., Raman S., Maia T.V.: Serotonin Reduces Belief Stickiness. bioRxiv, 2023

Rigoux, L, Stephan K.E., and Petzschner F.H. Beliefs, Compulsive Behavior and Reduced Confidence in Control. PsyArXiv. May 19. doi:10.31234/osf.io/s37ch, 2023

Müller-Schrader M., Heinzle J., Müller A., Lanz C., Häussler O., Suter M., Eggspühler A., Mare S., Toussaint B., Pereira I., Petzschner F.H., Wiech K., Barth J., Witt C.M., Stephan K.E., Manjaly Z.-M. Individual treatment expectations predict clinical outcome after lumbar injections against low back pain. Pain 164 (1), 132-141, 2023

2022

Schneebli M., Haker H., Rüesch A., Zahnd N., Marino S., Paolini G., Petzschner F.H.*, Stephan K.E.*. Disentangling «Bayesian brain» theories of Autsim Spectrum Disorder. medRxiv XX(X):XX-XX, 2022

Petzschner F.H., Critchley H., Tallon-Baudry C., Interoception, Scholarpedia, 17(5):55569, 2022

2021

Unal O., Eren O.C., Alkan G., Petzschner F.H., Yao Y., Stephan K.E. Inference on homeostatic belief precision. Biological Psychology 108190:165, 2021

Harrison O.K., Lanz L., Marino S., Lüchinger R., Hennel F., Hess A.J., Frässle S., Iglesias S., Vinckier F., Petzschner F.H., Harrison S., Stephan K.E. Interoception of breathing and its relationship with anxiety. Neuron 109(24):4080-4093, 2021

Frässle S., Aponte E.A., Bollman S., Bordersen K.H., Do C.T., Harrison O.K., Harrison S.J., Heinzle J., Iglesias S., Kasper L., Lomakina E.I., Mathys C., Müller-Schrader M., Pereira I., Petzschner F.H., Raman S., Schöbi D., Toussaint B., Weber L.A., Yao Y., Stephan K.E. TAPAS: an open-source software package for Translational Neuromodeling and Computational Psychiatry. Frontiers in Psychiatry 12:857, 2021

Petzschner F.H.*, Garfinkel S.N., Paulus M.P., Koch C., Khalsa S.S. Computational Models of Interoception and Body regulation. Trends in Neurosciences 44(1):63-76, 2021

2020

Petzschner F.H.*, Weber L.*, Wellstein K.V., Paolini G., Tri Do C, Stephan K.E. Focus of attention modulates the heartbeat evoked potential. NeuroImage 186:595-606, 2020

Data: Petzschner F.H.*, Weber L.*, Wellstein K.V., Paolini G., Tri Do C, Stephan K.E. Focus of attention modulates the heartbeat evoked potential. NeuroImage 186:595-606, 2020

2019

Stephan K.E., Petzschner F.H., Kasper L., Bayer J., Wellstein K.V., Stefanics G., Prüssmann K.P., Heinzle J. Laminar fMRI and Computational Theories of Brain Function. NeuroImage 197:699-706, 2019

2018

Khalsa S.S., Adolphs R., Cameron O.G., Critchley H.D., Devenport P.W., Feinstein J.S., Feusner J.D., Garfinkel S.N., Lane R.D., Mehling W.E., Meuret A.E. Nemeroff C.B., Oppenheimer S., Petzschner F.H., Pollatos O., Rhudy J.L., Schramm L.P., Simmons W.K., Stein M.B., Stephan K.E., Van Den Bergh O., Van Diest I., von Leupoldt A., Paulus M.P. and the Interoception Summit 2016 participants: Interoception and Mental Health: a Roadmap. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 3(6): 501-513, 2018

2017

Kang Y.*, Petzschner F.H.*, Wolpert D.M., Shadlen M.N. Piercing of consciousness as a threshold-crossing operation. Current Biology 27:2285-2295, 2017

Data: Kang Y.*, Petzschner F.H.*, Wolpert D.M., Shadlen M.N. Piercing of consciousness as a threshold-crossing operation. Current Biology 27:2285-2295, 2017

Petzschner F.H., Weber L.A.E., Gard T., Stephan K.E. Computational Psychosomatics and Computational Psychiatry: Towards a joint framework for differential diagnosis. Biological Psychiatry 82(6):421-430, 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(3):0159-17.2017, 2017

Petzschner F.H. Stochastic Dynamic Models for Computational Psychaitry and Computational Neurology. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2(3):214-215, 2017

2016

Stephan K.E., Manjaly Z.M., Mathys C.D., Weber L.A.E., Paliwal S., Gard T., Tittgemeyer M., Fleming S.M., Haker H., Seth A.K., Petzschner F.H. Allostatic self-efficacy: a metacognitive theory of dyshomeostasis-induces fatigue and depression. Frontiers in Human Neuroscience 10:550, 2016

Huys Q.J.M., Renz D., Petzschner F.H., Berwian I., Haker H. German translation and validation of the Cognitive Style Questionnaire short form (CSQ-SF-D). Plos ONE 11(2):e0149530, 2016

Before 2015

Petzschner F.H., Glasauer S., Stephan K.E. A Bayesian Perspective on Magnitude Estimation. Trends in Cognitive Sciences 19(5):285-293, 2015

Paliwal S.*, Petzschner F.H.*, Schmitz A.K., Tittgemeyer M., Stephan K.E. A Model-based Analysis of Impulsivity using Slot Machine Gambling Paradigm. Frontiers in Human Neuroscience 8:428, 2014

Petzschner F.H., Maier P., Glasauer S. Combining symbolic cues with sensory input and prior experience in a Bayesian framework. Frontiers in Integrative Neuroscience 6(58):1-12, 2012

Petzschner F.H.*, Krüger M.* How to Reach: Movement Planning in the Posterior Parietal Cortex. Journal of Neuroscience 32(14):4703-04, 2012

Petzschner F.H., Glasauer S. Iterative Bayesian estimation as an explanation for regression and range effects - a study on human path integration. Journal of Neuroscience 31(47):17220-9, 2011

Petzschner F.H., Ponce I.P., Blaimer M., Jakob P.M., Breuer F.A. Fast MR parameter mapping using k-t principle component analysis. Magnetic Resonance in Medicine 66(3):706-716, 2011