TNU publications since its foundation in 2012

(peer-reviewed journals)

  1. Renton AI, Dao TT, Johnstone T, Civier O, Sullivan RP, White DJ, Lyons P, Slade BM, Abbott DF, Amos TJ, Bollmann S, Botting A, Campbell MEJ, Chang J, Close TG, Dörig M, Eckstein K, Egan GF, Evas S, Flandin G, Garner KG, Garrido MI, Ghosh SS, Grignard M, Halchenko YO, Hannan AJ, Heinsfeld AS, Huber L, Hughes ME, Kaczmarzyk JR, Kasper L, Kuhlmann L, Lou K, Mantilla-Ramos YJ, Mattingley JB, Meier ML, Morris J, Narayanan A, Pestilli F, Puce A, Ribeiro FL, Rogasch NC, Rorden C, Schira MM, Shaw TB, Sowman PF, Spitz G, Stewart AW, Ye X, Zhu JD, Narayanan A, Bollmann S. (2024) Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging. Nat Methods. doi: 10.1038/s41592-023-02145-x. [PDF]  
  2. Toussaint B, Heinzle J, Stephan KE (2024) A computationally informed distinction of interoception and exteroception. Neuroscience & Biobehavioral Reviews, in press.
  3. Cieri F, Carhart-Harris RL, Mathys C, Turnbull O, Solms M. (2023)  Editorial: Frontiers in psychodynamic neuroscience. Front Hum Neurosci. 17:1170480. [PDF]
  4. Connor M, Hargreaves EA, Scanlon OK, Harrison OK (2023) The Effect of Acute Exercise on State Anxiety: A Systematic Review.Sports (Basel). 11(8):145. [PDF]
  5. Edwin Thanarajah S, DiFeliceantonio AG, Albus K, Kuzmanovic B, Rigoux L, Iglesias S, Hanßen R, Schlamann M, Cornely OA, Brüning JC, Tittgemeyer M, Small DM (2023). Habitual daily intake of a sweet and fatty snack modulates reward processing in humans. Cell Metab 35, 1-14. [PDF]
  6. Finnegan SL, Harrison OK, Booth S, Dennis A, Ezra M, Harmer CJ, Herigstad M, Guillaume B, Nichols TE, Rahman NM, Reinecke A, Renaud O, Pattinson KTS (2023) The effect of d-cycloserine on brain processing of breathlessness over pulmonary rehabilitation: an experimental medicine study. ERJ Open Res. 9(2):00479-2022. [PDF]
  7. Fox CA, Lee CT, Hanlon AK, Seow T XF, Lynch K, Harty S, Richards D, Palacios J, O'Keane V, Stephan KE, Gillan CM (2023) An observational treatment study of metacognition in anxious-depression. eLife 12:RP87193 [PDF]
  8. Galioulline H, Frässle S, Harrison S, Pereira I, Heinzle J*, Stephan KE* (2023) Predicting Future Depressive Episodes from Resting-State fMRI with Generative Embedding. NeuroImage, 273: 119986 [PDF]
  9. Hanssen R, Rigoux L, Kuzmanovic B, Iglesias S, Kretschmer AC, Schlamann M, Albus K, Edwin Thanarajah S, Sitnikow T, Melzer C, Cornely OA, Brüning JC, Tittgemeyer M. (2023) Liraglutide restores impaired associative learning in individuals with obesity. Nat Metab. 5(8):1352-1363. [PDF]
  10. Lee JH, Kang S, Maier SU, Lee SA, Goldfarb EV, Ahn WY (2023) Acute stress enhances memory and preference for smoking-related associations in smokers. Nicotine Tob Res., doi.org/10.1093/ntr/ntad152 [PDF]
  11. Lee CT, Palacios J, Richards D, Hanlon AK, Lynch K, Harty S, Claus N, Swords L, O'Keane V, Stephan KE, Gillan CM (2023) The Precision in Psychiatry (PIP) study: Testing an internet-based methodology for accelerating research in treatment prediction and personalisation. BMC Psychiatry, 23(1):25. [PDF]
  12. Lee, D.G., Daunizeau, J. & Pezzulo, G. (2023) Evidence or Confidence: What Is Really Monitored during a Decision? Psychon Bull Rev, doi.org/10.3758/s13423-023-02255-9 [PDF]
  13. Mikus N, Eisenegger C, Mathys C, Clark L, Müller U, Robbins TW, Lamm C, Naef M.(2023)  Blocking D2/D3 dopamine receptors in male participants increases volatility of beliefs when learning to trust others. Nat Commun.14(1):4049. [PDF]
  14. Rouault M, Pereira I, Galioulline H, Fleming SM, Stephan KE, Manjaly ZM (2023). Interoceptive and metacognitive facets of fatigue in multiple sclerosis. Eur J Neurosci. 58(2):2603-2622. [PDF
  15. Siemerkus, J., Petrescu, AS., Köchli, L. et al. (2023) Using standardized patients for undergraduate clinical skills training in an introductory course to psychiatry. BMC Med Educ 23, 159. [PDF]
  16. Soch J, Görgen K, Heinzle J, Haynes J-D (2023) A tightly controlled fMRI dataset for receptive field mapping in human visual cortex, Data in Brief, 47:109018 [PDF]
  17. Valevicius D, Beck N, Kasper L, Boroday S, Bayer J, Rioux P, Caron B, Adalat R, Evans AC, Khalili-Mahani N. (2023) Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN. Front Neuroinform. 17:1251023. [PDF]
  18. Aponte EA*, Yao Y*, Raman S, Frässle S, Heinzle J, Penny WD, Stephan KE (2022). An introduction to thermodynamic integration and application to dynamic causal models. Cogn Neurodyn, 16:1-5. [PDF]
  19. Berwian IM, Wenzel JG, Kuehn L, Schnuerer I, Seifritz E, Stephan KE, Walter H, Huys QJM (2022) Low predictive power of clinical features for relapse prediction after antidepressant discontinuation in a naturalistic setting. Scientific Reports, 12, 11171 [PDF].
  20. Frässle S, Stephan KE (2022). Test-retest reliability of regression dynamic causal modeling. Network Neuroscience, 6:135-160 [PDF].
  21. Herbst SK, Stefanics G, Obleser J. (2022) Endogenous modulation of delta phase by expectation-A replication of Stefanics et al., 2010. Cortex. 2022149:226-245. [PDF]
  22. Kasper L, Engel M, Heinzle J, Mueller-Schrader M, Graedel NN, Reber J, Schmid T, Barmet C, Wilm BJ, Stephan KE, Pruessmann KP (2022) Advances in spiral fMRI: A high-resolution dataset. Data in Brief, 42: 108050. [PDF]
  23. Kasper L, Engel M, Heinzle J, Mueller-Schrader M, Graedel NN, Reber J, Schmid T, Barmet C, Wilm BJ, Stephan KE, Pruessmann KP (2022) Advances in spiral fMRI: A high-resolution Study with Single-shot Acquisition, Neuroimage 246:118738 [PDF]
  24. Lee CT, Palacios J, Richards D, Hanlon AK, Lynch K, Harty S, Claus N, O’Keane V, Stephan KE, Gillan CM (2022) The PIP study: an internet-based approach to scaling up treatment response prediction research across mental health science. BMC Psychiatry, in press.
  25. Mikus N, Korb S, Massaccesi C, Gausterer C, Graf I, Willeit M, Eisenegger C, Lamm C, Silani G, Mathys C. (2022) Effects of dopamine D2/3 and opioid receptor antagonism on the trade-off between model-based and model-free behaviour in healthy volunteers. Elife.11:e79661 [PDF]
  26. Müller-Schrader M, Heinzle J, Müller A, Lanz C, Häussler O, Sutter M, Eggspühler A, Mare S, Toussaint B, Pereira I, Petzschner FH, Wiech K, Barth J, Witt CM, Stephan KE, Manjaly ZM (2022) Individual treatment expectations predict clinical outcome after lumbar injections against low back pain. Pain, 10.1097 [PDF].
  27. Nikolova N, Harrison O, Toohey S, Brændholt M, LegrPDF]and N, Correa C, Vejlø M, Jensen MS, Fardo F, Allen M. (2022) The respiratory resistance sensitivity task: An automated method for quantifying respiratory interoception and metacognition. Biol Psychol. ;170:108325. [PDF]
  28. Talks BJ, Campbell C, Larcombe SJ, Marlow L, Finnegan SL, Lewis CT, Lucas SJE, Harrison OK, Pattinson KTS (2022). Baseline Psychological Traits Contribute to Lake Louise Acute Mountain Sickness Score at High Altitude. High Alt Med Biol. (1):69-77. [PDF]
  29. Kafadar E, Fisher VL, Quagan B, Hammer A, Jaeger H, Mourgues C, Thomas R, Chen L, Imtiaz A, Sibarium E, Negreira AM, Sarisik E, Polisetty V, Benrimoh D, Sheldon AD, Lim C, Mathys C, Powers AR (2022). Conditioned Hallucinations and Prior Overweighting Are State-Sensitive Markers of Hallucination Susceptibility. Biol Psychiatry. doi: 10.1016/j.biopsych.2022.05.007. [PDF]
  30. Weber LA, Tomiello S, Schöbi D, Wellstein KV, Müller D, Iglesias S, Stephan KE (2022) Auditory mismatch responses are differentially sensitive to changes in muscarinic acetylcholine versus dopamine receptor function. eLife, 11:e74835 [PDF].
  31. Borgmann D, Rigoux L, Kuzmanovic B, Edwin Thanarajah S, Münte TF, Fenselau H, Tittgemeyer M (2021). Technical Note: Modulation of fMRI brainstem responses by transcutaneous vagus nerve stimulation. Neuroimage, 244:118566. [PDF]
  32. Budnick A, Kuhnert R, Schmidt H, Wienprecht L, Kuhlmey A, Blüher S (2021). Sekundärdatenanalyse initial vollstationär behandelter Patienten mit Schizophrenie in einem Berliner Modellprojekt (nach § 64b SGB V) [Secondary Data Analysis of Initially Treated In-patients with Schizophrenia in a Model Project in Berlin (According to § 64b SGB V)]. Gesundheitswesen, 83(11): 936-945  
  33. Engel M, Kasper L, Wilm B, Dietrich B, Patzig F, Vionnet L, Pruessmann KP (2021). Mono-planar T-Hex: Speed and flexibility for high-resolution 3D imaging, Magn Reson Med., 87:272-280. [PDF]
  34. Erdmann T,  Mathys C, (2021). A generative framework for the study of delusions, Schizophrenia Research, in press
  35. Everett JAC, Colombatto C, Awad E, Boggio P, Bos B, Brady WJ, Chawla M, Chituc V, Chung D, Drupp MA, Goel S, Grosskopf B, Hjorth F, Ji A, Kealoha C, Kim JS, Lin Y, Ma Y, Maréchal MA, Mancinelli F, Mathys C, Olsen AL, Pearce G, Prosser AMB, Reggev N, Sabin N, Senn J, Shin YS, Sinnott-Armstrong W, Sjåstad H, Strick M, Sul S, Tummers L, Turner M, Yu H, Zoh Y, Crockett MJ (2021). Moral dilemmas and trust in leaders during a global health crisis. Nat Hum Behav., 5(8):1074-1088. [PDF]
  36. Farahibozorg SR, Bijsterbosch JD, Gong W, Jbabdi S, Smith SM, Harrison, SJ, Woolrich, MW (2021). Hierarchical modelling of functional brain networks in population and individuals from big fMRI data, NeuroImage, 243:118513 [PDF]
  37. Faulkner P, Huys QJM, Renz D, Eshel N, Pilling S, Dayan P, Roiser JP (2021). A comparison of 'pruning' during multi-step planning in depressed and healthy individuals. Psychol Med. 12:1-9 [PDF]
  38. Finnegan SL, Harrison OK, Harmer CJ, Herigstad M, Rahman NM, Reinecke A, Pattinson KTS (2021). Breathlessness in COPD: linking symptom clusters with brain activity. Eur Respir J., 58(5): 2004099. [PDF]
  39. Frässle S, Aponte EA, Bollmann S, Brodersen KH, Do CT, Harrison OK, Harrison SJ, Heinzle J, Iglesias S, Kasper L, Lomakina EI, Mathys C, Müller-Schrader M, Pereira I, Petzschner FH, Raman S, Schöbi D, Toussaint B, Weber LA, Yao Y, Stephan KE (2021). TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry. Frontiers in Psychiatry, 12: 857 [PDF]
  40. Frässle S, Harrison SJ, Heinzle J, Clementz BA, Tamminga CA, Sweeney JA, Gershon ES, Keshavan MS, Pearlson GD, Powers A, Stephan KE (2021). Regression dynamic causal modeling for resting-state fMRI. Human Brain Mapping, 42: 2159-2180 [PDF].
  41. Frässle S, Manjaly ZM, Do CT, Kasper L, Pruessmann KP, Stephan KE (2021) Whole-brain estimates of directed connectivity for human connectomics. NeuroImage, 225:117491. [PDF]
  42. Graedel NN, Kasper L, Engel M, Nussbaum J, Wilm BJ, Pruessmann KP, Vannesjo SJ (2021). Feasibility of spiral fMRI based on an LTI gradient model, Neuroimage, 245:118674. [PDF]
  43. Grimm C, Frässle S, Steger C, von Ziegler L, Sturman O, Shemesh N, Peleg-Raibstein D, Burdakov D, Bohacek J, Stephan KE, Razansky D, Wenderoth N, Zerbi V (2021). Optogenetic activation of striatal D1R and D2R cells differentially engages downstream connected areas beyond the basal ganglia. Cell Reports, 37(13):110161. [PDF]
  44. Harrison OK, Köchli L, Marino S, Luechinger R, Hennel F, Brand K, Hess AJ, Frässle S, Iglesias S, Vinckier F, Petzschner F, Harrison SJ, Stephan KE (2021). Interoception of breathing and its relationship with anxiety. Neuron, 109(24):4080-4093.e8. [PDF]
  45. Harrison, OK, Marlow, L, Finnegan, SL, Ainsworth, B, Pattinson KT (2021). Dissociating breathlessness symptoms from mood in asthma. Biological Psychology, 165:108193. [PDF]
  46. Harrison OK, Garfinkel SN, Marlow L, Finnegan S, Marino S, Nanz L, Allen M, Finnemann J, Keur-Huizinga L, Harrison SJ, Stephan KE, Pattinson KTS, Fleming SM (2021). The Filter Detection Task for measurement of breathing-related interoception and metacognition. Biological Psychology, 165:108185. [PDF]
  47. Harrison OK, Guell X, Klein-Flügge MC, Barry RL (2021). Structural and resting state functional connectivity beyond the cortex. Neuroimage 240:118379. [PDF].
  48. Harrison OK, Hayen A, Wager TD, Pattinson KTS (2021). Investigating the specificity of the neurologic pain signature against breathlessness and finger opposition. Pain, 162(12):2933-2944. [PDF[
  49. Harrison SJ, Bianchi S, Heinzle J, Stephan KE, Iglesias S, Kasper L (2021). A Hilbert-based method for processing respiratory timeseries. NeuroImage,  230:117787. [PDF]
  50. Iglesias S, Kasper L, Harrison SJ, Manka R, Mathys C, Stephan KE (2021). Cholinergic and dopaminergic effects on prediction error and uncertainty responses during sensory associative learning. NeuroImage, 226:117590 [PDF]
  51. Kirsch LP, Mathys C, Papadaki C, Talelli P, Friston K, Moro V, Fotopoulou A. (2021). Updating beliefs beyond the here-and-now: the counter-factual self in anosognosia for hemiplegia. Brain Commun., 3(2):fcab098. [PDF]
  52. Lee DG, Daunizeau J. (2021). Trading mental effort for confidence in the metacognitive control of value-based decision-making. Elife, 10:e63282. [PDF]
  53. Lux Vanessa, Non AL, Pexman PM., Stadler W, Weber LAE, Krüger M (2021). Developmental Framework for Embodiment Research: The Next Step Toward Integrating Concepts and Methods, Front. Syst. Neurosc.15:672740. [PDF]      
  54. Maier, SU*, Grueschow, M* (2021). Pupil dilation predicts individual self-regulation success across domains. Scientific Reports, 11: 14342. [PDF]
  55. Mönninghoff A, Kramer JN, Hess AJ, Ismailova K, Teepe GW, Tudor Car L, Müller-Riemenschneider F, Kowatsch T. (2021). Long-term Effectiveness of mHealth Physical Activity Interventions: Systematic Review and Meta-analysis of Randomized Controlled Trials. J Med Internet Res. 23(4):e26699. [PDF]
  56. Nenna F, Do CT, Protzak J, Gramann K (2021). Alteration of brain dynamics during dual-task overground walking. Eur J Neurosci, 54:8158-8174. [PDF]
  57. Pereira I, Frässle S, Heinzle H, Schöbi D, Do CT, Gruber M, Stephan KE (2021). Conductance-based Dynamic Causal Modeling: A mathematical review of its application to cross-power spectral densities. NeuroImage, 245:118662. [PDF]
  58. Reiter AMF, Diaconescu AO, Eppinger B, Li SC (2021). Human aging alters social inference about others' changing intentions. Neurobiol Aging.103:98-108. [PDF]
  59. Saccarelli CR, Keenan KE, Shimron E, Kasper L, Keilholz SD, Wald LL, Morris EA (2021). The Path to Parent-Inclusive Conferences. Journal of the American College of Radiology : JACR, 18(2):334-336, doi: 10.1016/j.jacr.2020.06.027
  60. Schöbi D, Do CT, Frässle S, Tittgemeyer M, Heinzle J, Stephan KE (2021). A fast and robust integrator of delay differential equations in DCM for electrophysiological data. NeuroImage, 244:118567 [PDF]
  61. Schöbi D, Homberg F, Frässle S, Endepols H, Moran RJ, Friston KJ, Tittgemeyer M, Heinzle J*, Stephan KE* (2021). Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses. NeuroImage, 237:118096. [PDF]
  62. Senoz, I., Podusenko, A., Akbayrak, S., Mathys, C., & de Vries, A. (Bert). (2021). The Switching Hierarchical Gaussian Filter: 2021 IEEE International Symposium on Information Theory, ISIT 2021. 2021 IEEE International Symposium on Information Theory (ISIT), 1373–1378. [PDF]
  63. Suthaharan P, Reed EJ, Leptourgos P, Kenney JG, Uddenberg S, Mathys CD, Litman L, Robinson J, Moss AJ, Taylor JR, Groman SM, Corlett PR (2021). Paranoia and belief updating during the COVID-19 crisis. Nat Hum Behav. 1-13 [PDF].
  64. Unal O, Eren OC, Alkan G, Petzschner FH, Yao Y, Stephan KE (2021). Inference on homeostatic belief precision. Biological Psychology,165:108190 [PDF]
  65. Warnert EAH, Kasper L, Meltzer CC, Lightfoote JB, Bucknor MD, Haroon H, Duggan G, Gowland P, Wald L, Miller KL, Morris EA, Anazodo UC (2021). Resonate: Reaching Excellence Through Equity, Diversity, and Inclusion in ISMRM, J Magn Reson Imaging, 53(5), 1608-1611 [PDF].
  66. Yao Y, Stephan KE (2021). Markov chain Monte Carlo methods for hierarchical clustering of dynamic causal models. Human Brain Mapping, 42: 2973– 2989 [PDF]
  67. Adams R, Moutoussis M, Nour MM, Dahoun T, Lewis D, Illingworth B, Veronese M, Mathys C, de Boer L, Guitart-Masip M, Friston KJ, Howes OD, Roiser JP (2020). Variability in Action Selection Relates to Striatal Dopamine 2/3 Receptor Availability in Humans: A PET Neuroimaging Study Using Reinforcement Learning and Active Inference Models. Cereb. Cortex, 30: 3573–3589 [PDF].
  68. Aleksandrowicz A, Hagenmuller F, Haker H, Heekeren K, Theodoridou A, Walitza S, Ehlis AC, Fallgatter A, Rössler W, Kawohl W. Frontal brain activity in individuals at risk for schizophrenic psychosis and bipolar disorder during the emotional Stroop task - an fNIRS study (2020). Neuroimage Clin., 26:102232. [PDF]
  69. Al-Zubaidi A, Iglesias S, Stephan KE, Buades-Rotger M, Heldmann M, Nolde JM, Kirchner H, Mertins A, Jauch-Chara K, Münte TF (2020). Effects of hunger, satiety and oral glucose on effective connectivity between hypothalamus and insular cortex. NeuroImage, 217: 116931. [PDF]
  70. Berwian IM, Wenzel JG, Kuehn L, Schnuerer I, Kasper L, Veer IM, Seifritz E, Stephan KE, Walter H, Huys QJM (2020). The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse. Scientific Reports, 10(1):22346. [PDF]
  71. Berwian IM, Wenzel J, Collins AGE, Seifritz E, Stephan KE, Walter H, Huys QJM (2020). Computational mechanisms of effort and reward decisions in depression and their relationship to relapse after antidepressant discontinuation. JAMA Psychiatry, 77(5):513-522.
  72. Bijsterbosch J, Harrison SJ, Jbabdi S, Woolrich M, Beckmann C, Smith S, Duff EP (2020). Challenges and future directions for representations of functional brain organization. Nature Neuroscience, 23(12),1484-1495. [PDF]
  73. Browning M, Carter CS, Chatham C, den Ouden H, Gillan CM, Baker JT,  Chekroud AM, Cools R, Dayan P, Gold J, Goldstein RZ, Hartley CA, Kepecs A, Lawson RP, Mourao-Miranda J, Phillips ML, Pizzagalli DA, Powers A, Rindskopf D, Roiser JP, Schmack K, Schiller D, Sebold M, Stephan KE, Frank MJ, Huys Q, Paulus M (2020). Realizing the Clinical Potential of Computational Psychiatry: Report from the Banbury Center Meeting, February 2019, Biological Psychiatry, 88: e5-e10.
  74. Csukly G, Szabó Á, Polgár P, Farkas K, Gyebnár G, Kozák LR, Stefanics G (2020). Fronto-thalamic structural and effective connectivity and delusions in schizophrenia: a combined DTI/DCM study. Psychol Med. 24:1-11. doi: 10.1017/S0033291720000859
  75. Cole DM, Diaconescu AO, Pfeiffer UJ, Brodersen KH, Mathys CD, Julkowski D, Ruhrmann S, Schilbach L, Tittgemeyer M, Vogeley K, Stephan KE (2020). Atypical processing of uncertainty in individuals at risk for psychosis. NeuroImage: Clinical, 26: 102239. [PDF]
  76. Deserno L, Boehme R, Mathys C, Katthagen T, Kaminski J, Stephan KE, Heinz A, Schlagenhauf F (2020). Volatility Estimates Increase Choice Switching and Relate to Prefrontal Activity in Schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 5(2):173-183 [PDF]
  77. Diaconescu AO, Stecy M, Kasper L, Burke CJ, Nagy Z, Mathys C, Tobler PN (2020). Neural arbitration between social and individual learning systems. Elife, 9:e54051, doi: 10.7554/eLife.54051
  78. Diaconescu AO*, Wellstein KV*, Kasper L, Mathys C, Stephan KE (2020). Hierarchical Bayesian models of social inference for probing persecutory delusional ideation. Journal of Abnormal Psychology, 129: 556-569. [PDF]
  79. Do CT*, Manjaly ZM*, Heinzle J, Schöbi D, Kasper L, Pruessmann KP, Stephan KE, Frässle S (2020). Hemodynamic modeling of long-term aspirin effects on blood oxygenated level dependent responses at 7 Tesla in patients at cardiovascular risk. European Journal of Neuroscience, 53: 1262-1278. [PDF]
  80. Durstewitz D, Huys QJM, Koppe G (2020). Psychiatric Illnesses as Disorders of Network Dynamics. Biol Psychiatry Cogn Neurosci Neuroimaging, 6(9):865-876. [PDF]
  81. Fitzgibbon SP, Harrison SJ, Jenkinson M, Baxter L, Robinson EC, Bastiani M, Bozek J, Karolis V, Cordero Grande L, Price AN, Hughes E, Makropoulos A, Passerat-Palmbach J, Schuh A, Gao J, Farahibozorg S-R, O'Muircheartaigh J, Ciarrusta J, O'Keeffe C, Brandon J, Arichi T, Rueckert D, Hajnal JV,  Edwards AD, Smith SM, Duff E, Andersson J  (2020). The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. Neuroimage, 223: 117303. [PDF].
  82. Frässle S, Marquand AF, Schmaal L, Dinga R, Veltman DJ, van der Wee NJA, van Tol MJ, Schöbi D, Penninx BWJH, Stephan KE (2020). Predicting individual clinical trajectories of depression with generative embedding. NeuroImage: Clinical 26:102213. [PDF]
  83. Harrison SJ, Bijsterbosch JD, Segerdahl AR,  Fitzgibbon SP,  Farahibozorg S-R, Duffa EP, Smith SM, Woolrich MW (2020). Modelling subject variability in the spatial and temporal characteristics of functional modes. NeuroImage, 222:117226. [PDF]
  84. Henco L, Diaconescu AO, Lahnakoski JM, Brandi M-L, Hörmann S, Hennings J, Hasan A, Papazova I, Strube W, Bolis D, Schilbach L, Mathys C (2020). Aberrant computational mechanisms of social learning and decision-making in schizophrenia and borderline personality disorder. PLOS Comput Biol,16(9):e1008162.[PDF]
  85. Henco L, Brandi ML, Lahnakoski JM, Diaconescu AO, Mathys C, Schilbach L (2020). Bayesian Modelling Captures Inter-Individual Differences in Social Belief Computations in the Putamen and Insula. Cortex, doi: 10.1016/j.cortex.2020.02.024 [PDF]
  86. Klaus F, Chumbley JR, Seifritz E, Kaiser S, Hartmann-Riemer M (2020). Loss Aversion and Risk Aversion in Non-Clinical Negative Symptoms and Hypomania. Frontiers in Psychiatry, 11:574131 [PDF]
  87. Maier O, Baete SH,Fyrdahl A, Hammernik K, Harrevelt S, Kasper L, Karakuzu A, Loecher M, Patzig F, Tian Y, Wang K, Gallichan D, Uecker M , Knoll F (2020). CG-SENSE revisited: Results from the first ISMRM reproducibility challenge, Magn Reson Med,85(4):1821-1839. doi: 10.1002/mrm.28569
  88. Maier SU, Hare TA (2020). BOLD activity during emotion reappraisal positively correlates with dietary self-control success, Social Cognitive and Affective Neuroscience, doi.org/10.1093/scan/nsaa097.
  89. Maier SU*, Raja Beharelle A*, Polania R, Ruff CC**, Hare TA** (2020). Dissociable mechanisms govern when and how strongly reward attributes affect decisions, Nature Human Behaviour, 4, 949–963. [PDF]
  90. Manjaly ZM, Iglesias S (2020). A Computational Theory of Mindfulness Based Cognitive Therapy from the “Bayesian Brain” Perspective. Frontiers in Psychiatry 11:404. doi: 10.3389/fpsyt.2020.00404
  91. Mathys C, Weber L (2020). Hierarchical Gaussian Filtering of Sufficient Statistic Time Series for Active Inference. In T. Verbelen, P. Lanillos, C. L. Buckley, & C. De Boom (Eds.), Active Inference (pp. 52–58). Springer International Publishing. https://doi.org/10.1007/978-3-030-64919-7_7
  92. Mathys, C. (2020). Playing with free energy. Neuropsychoanalysis, 22(1–2), 81–82. [PDF]
  93. Mohammadi B, Münte TF, Cole DM, Samii A, Boltzmann M, Rüsseler J (2020). Changed functional connectivity at rest in functional illiterates after extensive literacy training. Neurological Research and Practice, 2:12. [PDF]
  94. Mosley PE, Paliwal S, Robinson K, Coyne T, Silburn P,  Tittgemeyer M, Stephan KE, Perry A, Breakspear M (2020). Impulsivity and Gambling in Parkinson’s Disease after Subthalamic Deep Brain Stimulation Correlates with the Structural Connectivity of the Stimulation Field. Brain, 143: 2235-2254. [PDF]
  95. Paquola C, Benkarim O, DeKraker J, Lariviere S, Frässle S, Royer J, Tavakol S, Valk S, Bernasconi A, Bernasconi N, Khan A, Evans AC, Razi A, Smallwood J, Bernhardt B (2020). Convergence of cortical types and functional motifs in the human mesiotemporal lobe. eLife, 9:e60673. doi.org/10.7554/eLife.60673
  96. Petzschner FH., Garfinkel SN., Paulus MP., Koch C., Khalsa SS.(2020). Computational Models of Interoception and Body Regulation, Trends in Neurosciences, 44(1):63-76 [PDF]
  97. Rieger SW, Stephan KE and Harrison OK (2020). Remote, Automated, and MRI-Compatible
    Administration of Interoceptive Inspiratory Resistive Loading. Front. Hum. Neurosci. 14:161. doi: 10.3389/fnhum.2020.00161 [PDF]
  98. Sevgi M, Diaconescu AO, Tittgemeyer M, Schilbach L (2020). Social Bayes: Using Bayesian modeling to study autistic trait-related differences in social cognition. Biological Psychiatry 15;87(2):185-193. doi: 10.1016/j.biopsych.2019.09.032. [PDF]
  99. Stefanics G, Heinzle J, Czigler I, Valentini E, Stephan KE (2020). Timing of repetition suppression of event-related potentials to unattended objects. European Journal of Neuroscience 52: 4432-444. [PDF]
  100. Weber LA*, Diaconescu AO*, Mathys C, Schmidt A, Kometer M, Vollenweider F, Stephan KE (2020). Ketamine Affects Prediction Errors about Statistical Regularities: A Computational Single-Trial Analysis of the Mismatch Negativity. Journal of Neuroscience, 40: 5658-5668. [PDF]
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  238. 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]
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  250. 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]
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  365. 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]
  366. 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]
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