TNU publications since its foundation in 2012

(peer-reviewed journal articles only)

2017

  1. Berwian IM, Walter H, Seifritz E, Huys QJM (2017). Predicting relapse after antidepressant withdrawal - a systematic review. Psychological Medicine, doi: 10.1017/S0033291716002580. [PDF]
  2. Bukhari Q, Schröter, A, Cole DM, Rudin M (2017). Resting state fMRI in mice reveals anesthesia specific signatures of brain functional networks and their interactions. Frontiers in Neural Circuits 11:5. doi:10.3389/fncir.2017.00005 [PDF]
  3. Bollmann S*, Kasper L*, Vannesjo SJ, Diaconescu AO, Dietrich BE, Gross S, Stephan KE, Pruessmann KP (2017) Analysis and Correction of Field Fluctuations in fMRI using Concurrent Field Monitoring. NeuroImage, doi:10.1016/j.neuroimage.2017.01.014, in press.
  4. Diaconescu, AO, Mathys, CD, Weber, LAE, Kasper, L, Mauer, J, Stephan, KE (2017). Hierarchical prediction errors in midbrain and septum during social learning. Soc. Cogn. Affect. Neurosci. 12(4): 618-634. [PDF]
  5. Frässle S*, Lomakina EI*, Razi A, Friston KJ, Buhmann JM, Stephan KE (2017). Regression DCM for fMRI. NeuroImage, doi: 10.1016/j.neuroimage.2017.02.090, in press.
  6. Friston KJ, Preller KH, Mathys C, Cagnan H, Heinzle J, Razi A, Zeidman P, (2017), Dynamic causal modelling revisited, Neuroimage, in press.
  7. Gross S, Vionnet L, Kasper L, Dietrich BE, Pruessmann KP (2017) Physiology recording with magnetic field probes for fMRI denoising, Neuroimage, doi.org/10.1016/j.neuroimage.2017.01.022, in press.
  8. Horvath A, Szucs A, Csukly G, Sakovics A, Stefanics G, Kamondi A, (2017). EEG and ERP biomarkers of Alzheimer’s disease: a critical review. Frontiers In Bioscience, in press.
  9. Kang Y*, Petzschner FH*, Wolpert D, Shadlen M (2017), Piercing of consciousness as a threshold crossing operation. Current Biology, in press
  10. Kasper L, Bollmann S, Diaconescu AO, Hutton C, Heinzle J, Iglesias S, Hauser TU, Sebold M, Manjaly ZM, Pruessmann KP, Stephan KE (2017) The PhysIO Toolbox for Modeling Physiological Noise in fMRI Data. Journal of Neuroscience Methods, 276: 56-72. [PDF]
  11. Lieder F, Griffiths TL, Huys QJM and Goodman ND (2017). The anchoring bias reflects rational use of cognitive resources. Psychonomic Bulletin & Review, doi:10.3758/s13423-017-1286-8 [PDF]
  12. Lieder F, Griffiths TL, Huys QJM and Goodman ND (2017). Empirical evidence for resource-rational anchoring and adjustment. Psychonomic Bulletin & Review, doi 10.3758/s13423-017-1288-6 [PDF]
  13. Nebe S, Kroemer NB, Schad DJ, Bernhardt N, Sebold M, Müller DK, Scholl L, Kuitunen-Paul S, Heinz A, Rapp M, Huys QJ, Smolka MN (2017). No association of goal-directed and habitual control with alcohol consumption in young adults. Addiction Biology, dx.doi.org/10.1111/adb.12490 [PDF]
  14. Petzschner (2017). Stochastic Dynamic Models for Computational Psychiatry and Computational Neurology. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2 (3): 214-215 [PDF]
  15. Petzschner FH, Weber LAE, Gard T, Stephan KE (2017) Computational Psychosomatics and Computational Psychiatry:  Towards a joint framework for differential diagnosis. Biological Psychiatry, doi:10.1016/j.biopsych.2017.05.012
  16. Pooseh S, Bernhardt N, Guevara A, Huys QJM and Smolka MN (2017). Value-based decision-making battery: A Bayesian adaptive approach to assess impulsive and risky behavior. doi.org/10.3758/s13428-017-0866-x, Behav. [PDF]
  17. Sebold M, Nebe S, Garbusow M, Schad DJ, Beck A, Kuitunen-Paul S, Sommer C, Neu P, Zimmermann US, Rapp MA, Smolka MN, Huys QJM, Schlagenhauf F, Heinz A (2017).
    When habits are dangerous: alcohol expectancies and habitual decision-making in alcohol dependence Biological Psychiatry, in press
  18. Stephan KE, Siemerkus J, Bischof M, Haker H (2017) Hat Computational Psychiatry Relevanz für die klinische Praxis der Psychiatrie? Zeitschrift für Psychiatrie, Psychologie und Psychotherapie 65: 9-19.
  19. Stephan KE, Siemerkus J, Bischof M, Haker H (2017) Hat Computational Psychiatry Relevanz für die klinische Praxis der Psychiatrie? Zeitschrift für Psychiatrie, Psychologie und Psychotherapie 65: 9-19.
  20. Stephan KE, Schlagenhauf F, Huys QJM, Raman S, Aponte EA, Brodersen KH, Rigoux L, Moran RJ, Daunizeau J, Dolan RJ, Friston KJ, Heinz A (2017) Computational Neuroimaging Strategies for Single Patient Predictions. NeuroImage, 145: 180-199 [PDF]
  21. Unterrassner L, Wyss TA, Wotruba D, Ajdacic-Gross V, Haker H, Rössler W (2017). Psychotic-Like Experiences at the Healthy End of the Psychosis Continuum. Frontiers in Psychology, 8: 775. [PDF]
  22. Wiehler A, Petzschner F, Stephan KE, Peters J (2017) Episodic tags enhance striatal valuation signals during temporal discounting in pathological gamblers. eNeuro, in press.
  23. Wilm, BJ, Barmet C, Gross S, Kasper L, Vannesjo SJ, Haeberlin M, Dietrich BE, Brunner DO, Schmid T, Pruessmann KP (2017). Single-shot spiral imaging enabled by an expanded encoding model: Demonstration in diffusion MRI. Magn. Reson. Med. 77, 83-91. doi:10.1002/mrm.26493 [PDF]

2016

  1. Adams RA, Huys QJM, Roiser JP (2016). Computational Psychiatry: Towards a mathematically defined understanding of mental illness. J Neurol Neurosurg Psych 87: 53-63. [PDF]
  2. Aponte EA, Raman S, Sengupta B, Penny WD, Stephan KE, Heinzle J (2016). mpdcm: A Toolbox for Massively Parallel Dynamic Causal Modeling. Journal of Neuroscience Methods 257: 7-16. [PDF]
  3. De Jong M, Lazar S, Hug K, Mehling WE, Hölzel BK, Sack AT, Peeters F, Ashih H, Mischoulon D, Gard T (2016). Effects of mindfulness-based cognitive therapy on body awareness in patients with chronic pain and comorbid depression. Frontiers in Psychology 7: 967. [PDF]
  4. Dietrich BE, Brunner DO, Wilm BJ, Barmet C, Gross S, Kasper L, Haeberlin M, Schmid T, Vannesjo SJ, Pruessmann KP (2016). A field camera for MR sequence monitoring and system analysis. Magnetic Resonance in Medicine 75:1831–1840. [PDF]
  5. Diaconescu AO, Mathys C, Weber LAE, Kasper L, Mauer J, Stephan KE (2016) Hierarchical prediction errors in midbrain and septum during social learning. Social Cognitive and Affective Neuroscience doi:10.1093/scan/nswl171.
  6. Döring C, Müller M, Hagenmuller F, Ajdacic-Gross V, Haker H, Kawohl W, et al. (2016). Mismatch negativity: Alterations in adults from the general population who report subclinical psychotic symptoms. European Psychiatry 34: 9–16. [PDF]
  7. Freund P, Friston K, Thompson A, Stephan KE, Ashburner J, Bach DR, Nagy Z, Helms H, Draganski B, Mohammadi S, Schwab ME, Curt A, Weiskopf N (2016). Embodied Neurology: An integrative framework. Brain, 139: 1855-1861. [PDF]
  8. Frässle S, Krach S, Paulus FM, Jansen A (2016). Handedness is related to neural mechanisms underlying hemispheric lateralization of face processing. Scientific Reports, 6: 27153. [PDF]
  9. Frässle S, Paulus FM, Krach S, Schweinberger SR, Stephan KE, Jansen A (2016). Mechanisms of Hemispheric Lateralization: Asymmetric Interhemispheric Recruitment in the Face Perception Network. NeuroImage 124: 977–988. [PDF]
  10. Friston K, Brown HR, Siemerkus J, Stephan KE (2016). The dysconnection hypothesis (2016). Schizophrenia Research 176: 83-94. [PDF]
  11. Friston KJ, Litvak V, Oswal A, Razi A, Stephan KE, van Wijk BCM, Ziegler G, Zeidman P (2016). Bayesian model reduction and empirical Bayes for group (DCM) studies. NeuroImage 128: 413–431. [PDF]
  12. Garbusow M, Schad D, Sebold M, Friedel E, Bernhardt N, Koch SP, Steinacher B, Kathmann N, Geurts DE, Sommer C, Müller DK, Nebe S, Paul S, Wittchen H-U, Zimmermann US, Walter H, Smolka MN, Sterzer P, Rapp MA, Huys QJM, Schlagenhauf F, Heinz A (2016). Pavlovian-to-instrumental transfer effects in the nucleus accumbens relate to relapse in alcohol dependence. Addiction Biology 21: 719-31. [PDF]
  13. Hagenmuller F, Heekeren K, Meier M, Theodoridou A, Walitza S, Haker H, Rössler W, Kawohl W (2016). The loudness dependence of auditory evoked potentials (ldaep) in individuals at risk for developing bipolar disorders and schizophrenia. Clinical neurophysiology 127: 1342–1350. [PDF]
  14. Haker H, Schneebeli M, Stephan KE (2016). Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? Front Psychiatry 7: 1174. [PDF]
  15. Heinzle J, Aponte EA, Stephan KE (2016). Computational models of eye movements and their application to schizophrenia. Current Opinion in Behavioral Sciences 11: 21-29. [PDF]
  16. Heinzle J, Koopmans PJ, den Ouden HEM, Raman SS, Stephan KE (2016). A hemodynamic model for layered BOLD signals. NeuroImage 125: 556-570. [PDF]
  17. Hengartner MP, Kawohl W, Haker H, Rössler W, Ajdacic-Gross V (2016). Big five personality traits may inform public health policy and preventive medicine: Evidence from a cross-sectional and a prospective longitudinal epidemiologic study in a Swiss community. J Psychosom Res 84:44–51. [PDF]
  18. Holper LKB, Aleksandrowicz A, Müller M, Ajdacic-Gross V, Haker H, Fallgatter AJ, Hagenmuller F, Kawohl W, Rössler W (2016). Distribution of response time, cortical and cardiac correlates during emotional interference in persons with subclinical psychotic symptoms. Front Behav Neurosci 10:451–16. [PDF]
  19. Hölzel BK, Brunsch V, Gard T, Greve DN, Koch K, Sorg C, Lazar S, Milad MR (2016). Mindfulness-Based Stress Reduction, Fear Conditioning, and The Uncinate Fasciculus: A Pilot Study. Frontiers in Behavioral Neuroscience 10: 124. [PDF]
  20. Huys QJM (2016). A valuation framework for emotions applied to depression and recurrence.  In: Computational Psychiatry: New Perspectives on Mental Illness, edited by A. D. Redish and J. A. Gordon. Strüngmann Forum Reports, vol. 20, J.Lupp, series editor. Cambridge, MA: MIT Press
  21. Huys QJM (2016). Computational Psychiatry Zeitschrift für Psychiatrie, Psychologie und Psychotherapie. 65(1):21--26.
  22. Huys QJM, Deserno L, Obermeyer K, Schlagenhauf F, Heinz A (2016). Model-free temporal-difference learning and dopamine in alcohol dependence: examining concepts from theory and animals in human imaging. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1(5): 401-410.
  23. Huys QJM, Gölzer M, Friedel E, Heinz A, Cools R, Dayan P, Dolan RJ (2016). The specificity of Pavlovian regulation is associated with recovery from depression. Psychological Medicine 46(5): 1027-1035. [PDF]
  24. Huys QJM, Maia T, Frank MJ (2016). Computational psychiatry as a bridge from neuroscience to clinical applications. Nature Neuroscience 19(3): 404-413. [PDF]
  25. Huys QJM, Maia T, Paulus MP (2016). Computational psychiatry: from mechanistic insights to the development of new treatments. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1(5):382-385.
  26. Huys QJM, Renz D, Petzschner R, Berwian I, Haker H (2016). German translation and validation of the Cognitive Style Questionnaire short form (CSQ-SF-D). PLoS One 11(3): e0149530. [PDF]
  27. Iglesias S, Tomiello S, Schneebeli M, Stephan KE (2016). Models of neuromodulation for computational psychiatry. Wiley Interdisciplinary Reviews: Cognitive Science, n/a-n/a. doi: 10.1002/wcs.1420.
  28. Khader PH, Pachur T, Weber LAE, Jost K (2015). Neural Signatures of Controlled and Automatic Retrieval Processes in Memory-based Decision-making. Journal of Cognitive Neuroscience 28: 69-83. [PDF]
  29. Kremlácek J, Kreegipuu K, Tales A, Astikainen P, Põldver N, Näätänen R, Stefanics G (2016). Visual Mismatch Negativity (vMMN): A review and meta-analysis of studies in psychiatric and neurological disorders. Cortex, 80: 76-112.
  30. Marshall L, Mathys C, Ruge D, de Berker AO, Dayan P, Stephan KE, Bestmann S (2016) Pharmacological Fingerprints of Contextual Uncertainty. PLoS Biology 14: e1002575. [PDF]
  31. Paulus MP, Huys QJM, Maia T (2016). A Roadmap for the Development of Applied Computational Psychiatry. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1(5): 386-392.
  32. Raman S, Deserno L, Schlagenhauf F, Stephan KE (2016). A hierarchical model for integrating unsupervised generative embedding and empirical Bayes. Journal of Neuroscience Methods 269: 6-20. [PDF]
  33. Rössler W, Ajdacic-Gross V, Rodgers S, Haker H, Müller M (2016). Childhood trauma as a risk factor for the onset of subclinical psychotic experiences: Exploring the mediating effect of stress sensitivity in a cross-sectional epidemiological community study. Schizophrenia Research 172: 46-53. [PDF]
  34. Sandberg K, Frässle S, Pitts M (2016). Future directions for identifying the neural correlates of consciousness. Nature Reviews Neuroscience, doi:10.1038/nrn.2016.104. [PDF]
  35. Schmack K, Weilnhammer V, Heinzle J, Stephan KE, Sterzer P (2016). Learning What to See in a Changing World. Front. Hum. Neurosci. 10: 263.
  36. Sebold M, Schad DJ, Nebe S, Garbusow M, Jünger E, Krömer N, Kathmann N, Zimmermann U, Smolka M, Rapp MA, Heinz A, Huys QJM (2016). Don't think, just feel the music: Individuals With Strong Pavlovian-to-instrumental Transfer Effects Rely Less on Model-based Reinforcement Learning. J Cogn Neurosci. 28(7): 985-995. [PDF]
  37. Sevgi M, Diaconescu AO, Tittgemeyer M, Schilbach L (2016). Social Bayes: Using Bayesian modeling to study autistic trait-related differences in social cognition. Biological Psychiatry 80: 112-119. [PDF]
  38. Stefanics G, Kremlácek J, Czigler I (2016). Mismatch negativity and neural adaptation: Two sides of the same coin Response to: A Commentary on ‘Visual mismatch negativity: a predictive coding view’. Front. Hum. Neurosci. 10:13. doi: 10.3389/fnhum.2016.00013 [PDF]
  39. Stephan KE, Bach DR, Fletcher PC, Flint J, Frank MJ, Friston KJ, Heinz A, Huys QJM, Owen M, Binder EB, Dayan P, Johnstone E, Meyer-Lindenberg A, Montague PR, Schnyder U, Wang XJ, Breakspear M (2016). Charting the Landscape of Priority Problems in Psychiatry – Part I: Classification and Diagnosis. The Lancet Psychiatry 3: 77–83. [PDF]
  40. Stephan KE, Binder EB, Breakspear M, Dayan P, Johnstone E, Meyer-Lindenberg A, Schnyder U, Wang XJ, Bach DR, Fletcher PC, Flint J, Frank MJ, Heinz A, Huys QJM, Montague PR, Owen M, Friston KJ (2016). Charting the Landscape of Priority Problems in Psychiatry – Part II: Pathogenesis and Aetiology. The Lancet Psychiatry 3: 84-90. [PDF]
  41. Stephan KE, Diaconescu AO, Iglesias S (2016). Bayesian inference, dysconnectivity and neuromodulation in schizophrenia. Brain, 139: 1874-1876. [PDF]
  42. Stephan KE, Manjaly ZM, Mathys C, Weber LAE, Paliwal S, Gard T, Tittgemeyer M, Fleming S, Haker H, Seth A, Petzschner FH (2016). Allostatic Self-Efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression. Frontiers in Human Neuroscience, 10: 550. [PDF].
  43. Totah N, Akil H, Huys QJM, Krystal JH, MacDonald III AW, Maia TV, Malenka RC and Pauli WM (2016).  Complexity and Heterogeneity in psychiatric disorders.  In:Computational Psychiatry: New Perspectives on Mental Illness, edited by A. D. Redish and J. A. Gordon. Strüngmann Forum Reports, vol. 20, J. Lupp, series editor. Cambridge, MA: MIT Press
  44. Tsuchiya N, Frässle S, Wilke M, Lamme VAF (2016). No-report and report-based paradigms jointly unravel the NCC: Response to Overgaard and Fazekas. Trends in Cognitive Sciences 20:242-243. [PDF]
  45. Vannesjo SJ, Graedel NN, Kasper L, Gross S, Busch J, Haeberlin M, Barmet C, Pruessmann KP (2016). Image reconstruction using a gradient impulse response model for trajectory prediction. Magn. Reson. Med., 76: 45–58. [PDF]
  46. Webb CA, Gillon DG, Pechtel P, Goer F, Murray L, Huys QJM, Fava M, McGrath PJ, Weissman M, Parsey R, Kurian K, Adams P, Weyandt S, Trombello J, Grannemann B, Cooper C, Deldin P, Tenke C, Trivedi M, Bruder G and Pizzagalli DA (2016). Neural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study. Neuropsychopharmacology 41: 454-463. [PDF]

 

 

2015

  1. Dayan P, Huys QJM (2015). Serotonin's many meanings elude simple theories eLife 4:e07390. [PDF]
  2. Deserno*, Huys*, Boehme, Buchert, Heinze, Gace, Dolan, Heinz, Schlagenhauf (2015): Ventral Striatal Dopamine Reflects Behavioral and Neural Signatures of Model-Based Control during Sequential Decision Making. PNAS, 112(5):1595-1600. [PDF]
  3. Dima D, Friston KJ, Stephan KE, Frangou S (2015). Neuroticism and conscientiousness respectively constrain and facilitate short-term plasticity within the working memory neural network. Human Brain Mapping 36: 4158–4163. [PDF]
  4. Farkas K, Stefanics G, Marosi C, Csukly G (2015). Elementary sensory deficits in schizophrenia indexed by impaired visual mismatch negativity. Schizophrenia Research 166: 164–170. [PDF]
  5. Frässle S, Stephan KE, Friston KJ, Steup M, Krach S, Paulus FM, Jansen A (2015). Test-Retest Reliability of Dynamic Causal Modeling for fMRI. NeuroImage 117: 56-66. [PDF]
  6. Haeberlin M, Kasper L, Barmet C, Brunner DO, Dietrich BE, Gross S, Wilm BJ, Kozerke S, Pruessmann KP (2015). Real-time motion correction using gradient tones and head-mounted NMR field probes. Magn. Reson. Med. 74, 647–660. doi:10.1002/mrm.25432 [PDF]
  7. Hengartner MP, Islam MN, Haker H, Rössler W (2015). Mental health and functioning of female sex workers in chittagong, Bangladesh. Frontiers in Psychiatry, 6. doi:10.3389/fpsyt.2015.00176. [PDF]
  8. Holper L, Aleksandrowicz A, Müller M, Ajdacic-Gross V, Haker H, Fallgatter AJ, Hagenmuller F, Rössler W, Kawohl W (2015). Brain correlates of verbal fluency in subthreshold psychosis assessed by functional near-infrared spectroscopy. Schizophrenia Research 168: 23-29. [PDF]
  9. Huys QJM, Petzschner F (2015). Failure Modes of the Will: From Goals to Habits to Compulsions? American Journal of Psychiatry 172: 1-3. [PDF]
  10. Huys QJM, Lally N, Faulkner P, Eshel N, Seitfritz E, Gershman SJ, Dayan P, Roiser JP (2015). Interplay of approximate planning strategies. PNAS 112: 3098-3103. [PDF]
  11. Huys QJM, Guitart-Masip M, Dolan RJ, Dayan P (2015). Decision-Theoretic Psychiatry. Clinical Psychological Science [PDF]
  12. Huys QJM, Daw ND, Dayan P (2015). Depression: A Decision-Theoretic Analysis. Annu. Rev. Neurosci. 38:1-23. [PDF]
  13. Kahnt T, Weber SC, Haker H, Robbins TW, Tobler PN (2015). Dopamine D2-Receptor Blockade Enhances Decoding of Prefrontal Signals in Humans. Journal of Neuroscience 35: 4104-4111. [PDF]
  14. Kasper* L, Bollmann* S, Vannesjo SJ, Gross S, Haeberlin M, Dietrich BE, Pruessmann KP (2015). Monitoring, analysis and correction of magnetic field fluctuations in EPI time series. Magn Reson Med 74: 396–409. DOI: 10.1002/mrm.25407 [PDF]
  15. Lomakina El, Paliwal S, Diaconescu AO, Brodersen KA, Aponte EA, Buhmann JM, Stephan KE (2015). Inversion of Hierarchical Bayesian models using Gaussian processes. NeuroImage 118: 133-145. [PDF]
  16. Mohammadi B, Kollewe K, Cole DM, Fellbrich A, Heldmann M, Samii A, Degler R, Petri S, Münte TF, Krämer UM (2015). Amyotrophic lateral sclerosis affects cortical and subcortical activity underlying motor inhibition and action monitoring. Human Brain Mapping 36: 2878-2889. [PDF]
  17. Moran RJ, Jones MW, Blockeel AJ, Adams RA, Stephan KE, Friston KJ (2015). Losing control under ketamine: Suppressed cortico-hippocampal drive following acute ketamine in rats. Neuropsychopharmacology 40: 268-277. [PDF]
  18. Petzschner FH, Glasauer S, Stephan KE (2015). A Bayesian Perspective on Magnitude Estimation. Trends in Cognitive Sciences 19: 285-293. [PDF]
  19. Rössler W, Ajdacic-Gross V, Müller M, Rodgers S, Haker H, Hengartner MP (2015). Assessing sub-clinical psychosis phenotypes in the general population — a multidimensional approach. Schizophrenia Research 161: 194-201. [PDF]
  20. Rössler W, Ajdacic-Gross V, Müller M, Rodgers S, Kawohl W, Haker H, Hengartner MP (2015). Association between processing speed and subclinical psychotic symptoms in the general population: Focusing on sex differences. Schizophrenia Research 166: 316-321. [PDF]
  21. Schuck NW, Gaschler R, Wenke D, Heinzle J, Frensch PA, Haynes JD, Reverberi C (2015). Medial Prefrontal Cortex Predicts Internally Driven Strategy Shifts. Neuron 86: 331-340. [PDF]
  22. Sevgi M, Rigoux L, Kühn A, Mauer J, Schilbach L, Hess M, Gründler T, Ullsperger M, Stephan KE, Brüning J, Tittgemeyer M (2015). An Obesity-Predisposing Variant of the FTO Gene Regulates D2R-Dependent Reward Learning. Journal of Neuroscience 35: 12584-12592. [PDF]
  23. Stephan KE, Iglesias S, Heinzle J, Diaconescu AO (2015). Translational Perspectives for Computational Neuroimaging. Neuron 87: 716-732. [PDF]
  24. Trunk A, Stefanics G, Zentai N, Bacskay I, Felinger A, Thuróczy G, Hernádi I (2015). Effects of concurrent caffeine and mobile phone exposure on local target probability processing in the human brain. Scientific Reports 5: 14434. [PDF]
  25. Vossel S, Mathys C, Stephan KE, Friston KJ (2015). Cortical coupling reflects Bayesian belief updating in the deployment of spatial attention. Journal of Neuroscience 35: 11532-11542. [PDF]
  26. Wilm BJ, Nagy Z, Barmet C, Vannesjo SJ, Kasper L, Haeberlin M, Gross S, Dietrich BE, Brunner DO, Schmid T, Pruessmann KP (2015). Diffusion MRI with concurrent magnetic field monitoring. Magn. Reson. Med. 74: 925–933. [PDF]

2014

  1. Ajdacic-Gross V, Müller M, Rodgers S, Warnke I, Hengartner MP, Landolt K, Hagenmuller F, Meier M, Lee-Ting T, Aleksandrowicz A, Passardi M, Knöpfli D, Schönfelder H, Eisele J, Rüsch N, Haker H, Kawohl W, Rössler W (2014). The ZInEP Epidemiology Survey: Background, design and methods. International Journal of Methods in Psychiatric Research 23: 451-468. [PDF]
  2. Brodersen KH, Deserno L, Schlagenhauf F, Lin Z, Penny WD, Buhmann JM, Stephan KE (2014). Dissecting psychiatric spectrum disorders by generative embedding. NeuroImage: Clinical 4: 98-111. [PDF]
  3. Chumbley JR, Burke CJ, Stephan KE, Friston KJ, Tobler PN, Fehr E (2014). Surprise beyond prediction error. Human Brain Mapping 35: 4805-4814. [PDF]
  4. Chumbley JR, Krajbich I, Engelmann JB, Russell E, Van Uum S, Koren G, Fehr E. Endogenous Cortisol Predicts Decreased Loss Aversion in Young Men. Psychological Science [PDF]
  5. Chumbley JR, Späti J, Dörig N, Brakowski J, Grosse Holtforth M, Seifritz E, Spinelli S. The BDNF Val66Met polymorphism influence on striatal BOLD response to monetary feedback depends on valence and agency. Neuroscience 280: 130-141. [PDF]
  6. Chumbley JR, Hulme O, Köchli H, Russell, S. Van Uum, D. Pizzagalli A, Fehr E: Stress and reward: Long term cortisol exposure predicts the strength of sexual preference. Physiology & Behavior 131:33–40. [PDF]
  7. Chumbley JR, Fehr E: Does General Motivation Energize Financial Reward-Seeking Behavior? Evidence from an Effort Task. PLoS ONE 10.1371/journal.pone.0101936  [PDF]
  8. Csukly G, Stefanics G, Komlósi S, Czigler I, Bitter I, Czobor P (2014). Event-related theta synchronization predicts deficit in facial affect recognition in schizophrenia. Journal of Abnormal Psychology 123: 178-189. [PDF]
  9. Deserno L, Beck A, Huys QJM, Lorenz RC, Bucher R, Buchholz HG, Plotkin M, Kumakura Y, Cumming P, Heinze HJ, Rapp MA, Heinz MA: Chronic Alcohol Intake abolishes the relationship between dopamine synthesis capacity and learning signals in ventral striatum. European Neuroscience 41: 477-486. [PDF]
  10. Diaconescu AO, Mathys C, Weber LAE, Daunizeau J, Kasper L, Lomakina EI, Fehr E, Stephan KE (2014). Inferring on the intentions of others by hierarchical Bayesian learning. PLoS Comput Biol 10: e1003810 [PDF]
  11. Friedel E, Schlagenhauf F, Beck A, Dolan RJ, Huys QJM*, Rapp MA* and Heinz A* (2014). The effects of life stress and neural learning signals on fluid intelligence. Eur Arch Psychiatry Clin Neurosci 265: 35-43. [PDF]
  12. Friston KJ, Stephan KE, Montague R, Dolan RJ (2014). Computational psychiatry: The brain as a phantastic organ. The Lancet Psychiatry 1: 148-158. [PDF]
  13. Friston KJ, Kahan J, Razi A, Stephan KE, Sporns O (2014). On nodes and modes in resting state fMRI. NeuroImage 99: 533-547. [PDF]
  14. Garbusow M, Schad D, Sommer C, Jünger E, Sebold M, Friedel E, Wendt J, Kathmann N, Schlagenhauf F, Zimmerman U, Heinz A, Huys QJM*, Rapp MA* (2014). Pavlovian-to-Instrumental transfer in alcohol dependence – a pilot study. Neuropsychobiology 70: 111-121 [PDF]
  15. Guitart-Masip M, Economides, Huys QJM, Frank MJ, Chowdhury R, Düzel E, Dayan P, Dolan RJ (2013). Differential, but not opponent, effects of L-DOPA and citalopram on action learning with reward and punishment. Psychopharmacology 231: 955-966. [PDF]
  16. Haeberlin, M., Kasper, L., Barmet, C., Brunner, D.O., Dietrich, B.E., Gross, S., Wilm, B.J., Kozerke, S., Pruessmann, K.P., 2014. Real-time motion correction using gradient tones and head-mounted NMR field probes. Magn. Reson. Med. in press; doi:10.1002/mrm.25432
  17. Haenzi S, Stefanics G, Lanaras T, Calcagni M, Ghosh A (2014). Botulinum Toxin-A dose dependent perceptual loss on the hand after its cosmetic use on the face. Cortex 63: 118-120 [PDF]
  18. Hagenmuller F, Rössler W, Wittwer A, Haker H (2014). Juicy lemons for measuring basic empathic resonance. Psychiatry Research 219: 391-396. [PDF]
  19. Hagenmuller F, Rössler W, Wittwer A, Haker H (2014). Empathic resonance in Asperger syndrome. Research in Autism Spectrum Disorders 8: 851-859. [PDF]
  20. Hagenmuller F, Heekeren K, Theodoridou A, Walitza S, Haker H, Rössler W, Kawohl W (2014). Early somatosensory processing in individuals at risk for developing psychoses. Frontiers in Behavioral Neuroscience 8:308. [PDF]
  21. Hartmann M, Hager OM, Reimann AV, Chumbley JR, Matthiaskirschner E, Tobler MN, Kaiser S: Apathy But Not Diminished Expression in Schizophrenia Is Associated With Discounting of Monetary Rewards by PhysicalEffort. Schizophrenia Research 41: 503-512 [PDF]
  22. Hauser TU, Iannaccone R, Ball J, et al, 2014. Role of the medial prefrontal cortex in impaired decision making in juvenile attention-deficit/hyperactivity disorder. JAMA Psychiatry 71: 1165-1173 [PDF]
  23. Huys QJM, Tobler PT, Hasler G, Flagel SB (2014). The role of learning-related dopamine signals in addiction vulnerability. Progress in Neurobiology 211: 31-77. [PDF]
  24. Imamoglu F., Heinzle J., Imfeld A., Haynes J.D. (2014). Activity in high-level brain regions reflects visibility of low-level stimuli. Neuroimage 102: 688-694 [PDF]
  25. Kasper L, Haeberlin M, Dietrich BE, Gross S, Barmet C, Wilm BJ, Vannesjo SJ, Brunner DO, Ruff CC, Stephan KE, Pruessmann KP (2014). Matched-Filter acquisition for BOLD fMRI. NeuroImage 100: 145-160. [PDF]
  26. Kovacs-Balint Z, Stefanics G, Trunk A, Hernádi I (2014). Automatic detection of trustworthiness of the face: A visual mismatch negativity study. Acta Biologica Hungarica 65: 1-12. [PDF]
  27. Landolt K, Wittwer A, Wyss T, Unterassner L, Fach W, Krummenacher P, Brugger P, Haker H, Kawohl W, Schubiger PA, Folkers G, Rössler W (2014). Help-seeking in people with exceptional experiences: Results from a general population sample. Frontiers in Public Health 2: 51. [PDF]
  28. Ly V, Huys QJM, Stins JF, Roelofs K and Cools R (2014). Individual differences in bodily freezing predict emotional biases in decision making. Front. Behav. Neurosci. doi: 10.3389/fnbeh.2014.00237 [PDF]
  29. Maass A, Schütze H, Speck O, Yonelinas A, Tempelmann C, Heinze HJ, Berron D, Cardenas-Blanco A, Brodersen KH, Stephan KE, Düzel E (2014). Laminar activity in the hippocampus and entorhinal cortex related to novelty detection and episodic encoding. Nature Communications 5: 5547 [PDF]
  30. Mathys C, Lomakina EI, Daunizeau J, Iglesias S, Brodersen KH, Friston KJ, Stephan KE (2014). Uncertainty in perception and the Hierarchical Gaussian Filter. Frontiers in Human Neuroscience 8: 825 [PDF]
  31. O’Daly OG, Joyce D, Tracy DK, Azim A, Stephan KE, Murray RM, Shergill SS (2014). Amphetamine sensitization alters reward processing in the human striatum and amygdala. PLoS One 9: e93955 [PDF]
  32. O’Daly OG, Joyce D, Tracy DK, Stephan KE, Murray RM, Shergill S (2014) Amphetamine sensitisation and memory in healthy human volunteers: A functional magnetic resonance imaging study. Journal of Psychopharmacology 28: 857-865. [PDF]
  33. Paliwal S*, Petzschner F*, Schmitz AK, Tittgemeyer M, Stephan KE (2014). A model-based analysis of impulsivity using a slot-machine gambling paradigm. Frontiers in Human Neuroscience 8: 428. [PDF]
  34. Penny W, Stephan KE (2014). A dynamic Bayesian model of homeostatic control. Lecture Notes in Computer Science 8779: 60-69. [PDF]
  35. Rigoux L, Stephan KE, Friston KJ, Daunizeau J (2014). Bayesian model selection for group studies – revisited. NeuroImage 84: 971-985. [PDF]
  36. Rössler W, Hengartner MP, Ajdacic-Gross V, Haker H, Angst J (2014). Impact of childhood adversity on the onset and course of subclinical psychosis symptoms — Results from a 30-year prospective community study. Schizophrenia Research 153: 189–195. [PDF]
  37. Rössler W, Ajdacic-Gross V, Müller M, Rodgers S, Haker H, Hengartner MP (2014) Assessing sub-clinical psychosis phenotypes in the general population – A multidimensional approach. Schizophrenia Research 161: 194-201. [PDF]
  38. Schad D, Jünger Sebold M, Garbusow M, Bernhardt N, Javadi Ah, Zimmermann US, Smolka M, Rapp MA, Huys QJM: Processing Speed Enhances Model-Based over Model-Free Reinforcement Learning in the Presence of High Memory Functioning. The American Journal of Psychiatry 172: 216-218 [PDF]
  39. Schlagenhauf F*, Huys QJM*, Deserno M, Rapp MA, Beck A, Heinz A (2014). Striatal dysfunction during reversal learning in unmedicated schizophrenia patients Neuroimage 89: 171-180. [PDF]
  40. Schumann G, Binder EB, Holte, A, de Kloet ER, Oedegaard KJ, Robbins, TW, Walker-Tilley TR, Brown VJ, Buitelaar J, Ciccocioppo R, Cools R, Escera C, Fleischhacker W, Flor H, Frith CD, Heinz A, Johnsen E, Kirschbaum C, Klingberg T, Lesch KP, Lewis S, Maier W, Mann K, Martinot JL, Meyer-Lindenberg A, Müller CP, Müller WE, Nutt DJ, Persico A, Perugi G, Pessiglione M, Preuss UW, Roiser J, Rossini PM, Rybakowski JK, Sandi C, Stephan KE, Undurraga J, Vieta E, van der Wee N, Wykes T, Maria Haro J, Wittchen HU (2014). Stratified medicine for mental disorders. European Neuropsychopharmacology 24: 5-50. [PDF]
  41. Sebold M, Deserno L, Nebe S, Schad DJ, Garbusow M, Hägele C, Keller J, Jünger E, Kathmann N, Smolka M, Rapp MA, Schlagenhauf F, Heinz A, Huys QJM (2014). Model-based and model-free decisions in alcohol dependence. Neuropsychobiology 70: 122-131 [PDF]
  42. Soon C.S., Allefeld C., Bogler C., Heinzle J., Haynes J.D. (2014).Predictive brain signals best predict upcoming and not previous choices. Frontiers in Psychology 5: 406 [PDF]
  43. Späti J, Chumbley JR, Brakowski J, Dörig N, Grosse Holtforth M, Seifritz E, Spinelli S: Functional lateralization of the anterior insula during feedback processing. Human Brain Mapping 35: 4428-4439 [PDF]
  44. Stankevicius A*, Huys QJM*, Kalra A, Seriès P (2014). Optimism as a prior belief about the probability of future reward. PLoS Comp Biol doi: 10.1371/journal.pcbi.1003605 [PDF]
  45. Stefanics G, Astikainen P, Czigler I (2014). Visual mismatch negativity (vMMN): A prediction error signal in the visual modality. Front. Hum. Neurosci. 8: 1074 [PDF]
  46. Stefanics G, Kremlacek J, Czigler I (2014). Visual mismatch negativity: A predictive coding view. Front. Hum. Neurosci. 8: 666 [PDF]
  47. Stephan KE, Mathys C (2014). Computational approaches to psychiatry. Current Opinion in Neurobiology 25: 85-92. [PDF]
  48. Trunk A, Stefanics G, Zentai N, Bacskay I, Felinger A, Thuróczy G, Hernádi I (2014). Lack of interaction between concurrent caffeine and mobile phone exposure on visual target detection: An ERP study. Pharmacology, Biochemistry and Behavior 124 [PDF]
  49. Theodoridou A, Heekeren K, Dvorsky D, Metzler S, Franscini M, Haker H, Kawohl W, Rüsch N, Walitza S, Rössler W (2014). Early Recognition of High Risk of Bipolar Disorder and Psychosis: An Overview of the ZInEP “Early Recognition” Study. Frontiers in Public Health 2:166. [PDF]
  50. Vossel S, Bauer M, Mathys C, Adams RA, Dolan RJ, Stephan KE, Friston KJ (2014). Cholinergic stimulation enhances Bayesian belief updating in the deployment of spatial attention. Journal of Neuroscience 34: 15735-15742. [PDF]
  51. Vossel S, Mathys C, Daunizeau J, Bauer M, Driver J, Friston KJ, Stephan KE (2014). Spatial attention, precision and Bayesian inference: a study of saccadic response speed. Cerebral Cortex 24: 1436-1450. [PDF]

2013

  1. Adams RA, Stephan KE, Brown HR, Frith CD, Friston KJ (2013) The computational anatomy of psychosis. Frontiers in Psychiatry 4: 47. [PDF]
  2. Bernal-Casas D, Balaguer-Ballester E, Gerchen MF, Iglesias S, Walter H, Heinz A, Meyer-Lindenberg A, Stephan KE, Kirsch P (2013) Multi-site reproducibility of prefrontal-hippocampal connectivity estimates by stochastic DCM. NeuroImage 82: 555-863. [PDF]
  3. Brodersen KH, Daunizeau J, Mathys C, Chumbley JR, Buhmann JM, Stephan KE (2013) Variational Bayesian mixed-effects inference for classification studies. NeuroImage 76: 345-61. [PDF]
  4. Cavanagh J, Eisenberg M, Guitart-Masip M, Huys QJM and Frank MJ (2013) Frontal theta overrides Pavlovian learning biases. J. Neurosci. 33: 8541-8548. [PDF]
  5. Chowdhury R, Guitart-Masip M, Lambert C, Dayan P, Huys QJ, Düzel E and Dolan RJ (2013) Dopamine restores reward prediction errors in older age. Nature Neuroscience 16: 648-653. [PDF]
  6. Czigler I, Intraub H, Stefanics G (2013) Prediction beyond the borders: Early onset of ERP indices of boundary extension-related error. PLoS ONE 8: e74245. [PDF]
  7. Csukly G, Stefanics G, Komlósi S, Czigler I, Bitter I, Czobor P (2013) Emotion-related visual mismatch responses in schizophrenia: Impairments and correlations with emotion recognition. PLoS ONE 8(10): e75444. [PDF]
  8. Daunizeau J, Lemieux L, Vaudano AE, Friston KJ, Stephan KE (2013) An electrophysiological validation of stochastic DCM for fMRI. Frontiers in Computational Neuroscience 6: 103. [PDF]
  9. Diaconescu, A. O., Hasher, L., & McIntosh, A. R. (2013) Visual dominance and multisensory integration changes with age. NeuroImage 65: 152-166. [PDF]
  10. Feis DL, Brodersen KH, von Cramon DY, Luders E, Tittgemeyer M (2013) Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data. NeuroImage 70: 250–257. [PDF]
  11. Friston KJ, Daunizeau J, Stephan KE (2013) Model selection and gobbledygook: Response to Lohmann et al. NeuroImage 75: 275-278. [PDF]
  12. Genauck A, Huys QJM, Heinz AA and Rapp MA (2013) Pavlovian-Instrumental Transfer Effects in Alcohol Dependence. Sucht 59(4):215-223. [PDF]
  13. Geurts DEM, Huys QJM, Den Ouden HEM and Cools, R (2013) Serotonin and aversive Pavlovian control of instrumental behavior in humans. J. Neuroscience 33(48): 18932-18939. [PDF]
  14. Geurts DEM*, Huys QJM*, Den Ouden HEM and Cools, R (2013) Aversive Pavlovian control of instrumental behaviour in humans. J. Cogn. Neurosci. (2013) 25(9):1428-41. [PDF]
  15. Haenzi, S., Stefanics, G., Lanaras, T., Calcagni, M., Gosh, A. (2013) Altered cortical activation from the hand after facial botulinum toxin treatment. Annals of Clinical and Translational Neurology doi: 10.1002/acn3.21. [PDF]
  16. Hengartner MP, Ajdacic-Gross V, Rodgers S, Müller M, Haker H, Rössler W (2013) Fluid intelligence and empathy in association with personality disorder trait-scores: exploring the link. European Archives of Psychiatry and Clinical Neuroscience in press, DOI: 10.1007/s00406-013-0441-0. [PDF]
  17. Huys QJM, Pizzagalli DA, Bogdan R and Dayan P (2013) Mapping anhedonia onto reinforcement learning. A behavioural meta-analysis. Biology of Mood & Anxiety Disorders 3: 12. [PDF]
  18. Iglesias S, Mathys C, Brodersen KH, Kasper L, Piccirelli M, den Ouden HEM, Stephan KE (2013) Hierarchical prediction errors in midbrain and basal forebrain during sensory learning. Neuron 80: 519-530. [PDF]
  19. Jung F, Stephan KE, Backes H, Moran RJ, Gramer M, Kumagai T, Graf R, Endepols H, Tittgemeyer M (2013) Mismatch responses in the awake rat: Evidence from epidural recordings of auditory cortical fields. PLoS One 10:1371. [PDF]
  20. Klein-Flügge M, Barron H, Brodersen KH, Dolan RJ, Behrens TEJ (2013). Segregated encoding of reward-identity and stimulus-reward associations in human orbitofrontal cortex. Journal of Neuroscience 33: 3202-3211. [PDF]
  21. Komlósi S, Csukly G, Stefanics G, Czigler I, Bitter I, Czobor P (2013) Fearful face recognition in schizophrenia: An electrophysiological study. Schizophr Res. 149: 135-40. [PDF]
  22. Lieder F, Stephan KE, Daunizeau J, Garrido MI, Friston KJ (2013) A Neurocomputational Model of the Mismatch Negativity. PLoS Computational Biology 9(11): e1003288. doi:10.1371/journal.pcbi.1003288. [PDF]
  23. Lieder F, Goodman ND, Huys QJM (2013) Learned helplessness and generalization. Proceedings of the 35th Annual Conference of the Cognitive Science Society[PDF]
  24. Lieder F, Daunizeau J, Garrido MI, Friston KJ, Stephan KE (2013) Modelling Trial-by-Trial Changes in the Mismatch Negativity. PLoS Computational Biology 9: e1002911. [PDF]
  25. Lieder F, Griffiths TL, Goodman ND (2013) Burn-in,bias, and the rationality of anchoring. Advances in Neural Information Processing Systems 25 Lake Tahoe, USA. [PDF]
  26. Moran RJ, Campo P, Symmonds M, Stephan KE, Dolan RJ, Friston KJ (2013) Free energy, precision and learning: the role of cholinergic neuromodulation. Journal of Neuroscience 33: 8227-8236. [PDF]
  27. Rössler W, Ajdacic-Gross V, Haker H, Rodgers S, Müller M, Hengartner MP (2013) Subclinical psychosis syndromes in the general population: results from a large-scale epidemiological survey among residents of the canton of Zurich, Switzerland. Epidemiol Psychiatr Sci. Cambridge University Press, UK. doi: 10.1017/S2045796013000681 [PDF]
  28. Schmidt A, Smieskova R, Aston J, Simon A, Allen P, Fusar-Poli P, McGuire PK, Riecher-Rössler A, Stephan KE, Borgwardt SJ (2013) Brain connectivity abnormalities predating the onset of psychosis: correlation with the effect of medication. JAMA Psychiatry 70: 903-912.  [PDF]
  29. Rössler W, Hengartner MP, Ajdacic-Gross V, Haker H, Angst J (2013) Deconstructing sub-clinical psychosis into latent-state and trait variables over a 30-year time span. Schizophr Res. 150(1):197-204. doi: 10.1016/j.schres.2013.07.042. [PDF]
  30. Schmidt A*, Diaconescu AO*, Kometer M, Friston KJ, Stephan KE, Vollenweider FX (2013) Modeling ketamine effects on synaptic plasticity during the mismatch negativity. Cerebral Cortex 23: 2394-2406. [PDF]
  31. Stephan KE (2013) The history of CoCoMac. NeuroImage 80:46-52. [PDF]
  32. Sulzer J, Sitaram R, Blefari ML, Kollias S, Birbaumer N, Stephan KE, Luft A, Gassert R (2013) Neurofeedback-mediated self-regulation of the dopaminergic midbrain. NeuroImage 83: 817-825. [PDF]
  33. Woolrich MW, Stephan KE (2013) Biophysical Network Models and the Human Connectome. NeuroImage 80: 330-338. [PDF]

2012

  1. Brodersen KH, Mathys C, Chumbley JR, Daunizeau J, Ong CS, Buhmann JM,Stephan KE (2012) Bayesian mixed-effects inference on classification performance in hierarchical datasets. Journal of Machine Learning Research 13: 3133-3176. [PDF]
  2. Brodersen KH, Wiech K, Lomakina EI, Lin C, Buhmann JM, Bingel U, Ploner M, Stephan KE, Tracey I (2012) Decoding the perception of pain from fMRI using multivariate pattern analysis. NeuroImage 63: 1162-1170. [PDF]
  3. Chen CC, Kiebel SJ, Kilner JM, Ward NS, Stephan KE, Wang WJ, Friston KJ (2012) A dynamic causal model for evoked and induced responses. NeuroImage 59: 340-348. [PDF]
  4. Daunizeau J, Stephan KE, Friston KJ (2012) Stochastic Dynamic Causal Modelling of fMRI data: Should we care about neural noise? NeuroImage 62: 464-481. [PDF]
  5. Friston KJ, Shiner T, FitzGerald T, Galea JM, Adams R, Brown H, Dolan RJ, Moran R, Stephan KE, Bestmann S (2012) Dopamine, affordance and active inference. PLoS Computational Biology 8: e1002327. [PDF]
  6. Friston KJ, Bastos A, Litvak V, Stephan KE, Fries P, Moran RJ (2012) DCM for complex-valued data: cross-spectra, coherence and phase-delays. NeuroImage 59: 439-455. [PDF]
  7. Schmidt A, Bachmann R, Kometer M, Csomor PA, Stephan KE, Seifritz E, Vollenweider FX (2012) Mismatch negativity encoding of prediction errors predicts S-ketamine-induced cognitive impairments. Neuropsychopharmacology 37: 865-875. [PDF]
  8. Schofield T, Penny W, Stephan KE, Crinion J, Thompson AJ, Price C, Leff A (2012) Changes in auditory feedback connections determine the severity of speech processing deficits after stroke. Journal of Neuroscience 32: 4260-4270. [PDF]
  9. Stephan KE, Roebroeck A (2012) A short history of causal modeling of fMRI data. NeuroImage 62: 856-863. [PDF]