Mirza, M. B., Adams, R. A., Friston, K., & Parr, T. (2019). Introducing a Bayesian model of selective attention based on active inference. Scientific Reports, 9, Article 13915. https://doi.org/10.1038/s41598-019-50138-8

Molleman, L., Kurvers, R. H. J. M., & van den Bos, W. (2019). Unleashing the BEAST: A brief measure of human social information use. Evolution and Human Behavior, 40(5), 492–499. https://doi.org/10.1016/j.evolhumbehav.2019.06.005

Moran, R., Keramati, M., Dayan, P., & Dolan, R. J. (2019). Retrospective model-based inference guides model-free credit assignment. Nature Communications, 10, Article 750. https://doi.org/10.1038/s41467-019-08662-8

Moses-Payne, M. E., Rollwage, M., Fleming, S. M., & Roiser, J. P. (2019). Postdecision evidence integration and depressive symptoms. Frontiers in Psychiatry, 10, Article 639. https://doi.org/10.3389/fpsyt.2019.00639

Mosley, P. E., Paliwal, S., Robinson, K., Coyne, T., Silburn, P., Tittgemeyer, M., Stephan, K. E., Breakspear, M., & Perry, A. (2019). The structural connectivity of discrete networks underlies impulsivity and gambling in Parkinson's disease. Brain, 142(12), 3917–3935. https://doi.org/10.1093/brain/awz327

Moutoussis, M., Bullmore, E. T., Goodyer, I. M., Fonagy, P., Jones, P. B., Dolan, R. J., & Dayan, P. (2019). Change, stability, and instability in the Pavlovian guidance of behaviour from adolescence to young adulthood. PLoS Computational Biology, 14(12), Article e1006679. https://doi.org/10.1371/journal.pcbi.1006679

Müller, V., Delius, J. A. M., & Lindenberger, U. (2019). Hyper-frequency network topology changes during choral singing. Frontiers in Physiology, 10, Article 207. https://doi.org/10.3389/fphys.2019.00207

Müller, V., Jirsa, V., Perdikis, D., Sleimen-Malkoun, R., von Oertzen, T., & Lindenberger, U. (2019). Lifespan changes in network structure and network topology dynamics during rest and auditory oddball performance. Frontiers in Aging Neuroscience, 11, Article 138. https://doi.org/10.3389/fnagi.2019.00138

Müller, V., & Lindenberger, U. (2019). Dynamic orchestration of brains and instruments during free guitar improvisation. Frontiers in Integrative Neuroscience, 13, Article 50. https://doi.org/10.3389/fnint.2019.00050

Nour, M. M., Dahoun, T., McCutcheon, R. A., Adams, R. A., Wall, M. B., & Howes, O. D. (2019). Task-induced functional brain connectivity mediates the relationship between striatal D2/3 receptors and working memory. eLife, 8, Article e45045. https://doi.org/10.7554/eLife.45045

Olsen, R. K., Carr, V. A., Daugherty, A. M., La Joie, R., Amaral, R. S. C., Amunts, K., Augustinack, J. C., Bakker, A., Bender, A. R., Berron, D., Boccardi, M., Bocchetta, M., Burggren, A. C., Chakravarty, M. M., Chételat, G., de Flores, R., DeKraker, J., Ding, S.-L., Geerlings, M. I., Huang, Y., Insausti, R., Johnson, E. G., Kanel, P., Kedo, O., Kennedy, K. M., Keresztes, A., Lee, J. K., Lindenberger, U., Mueller, S. G., Mulligan, E. M., Ofen, N., Palombo, D. J., Pasquini, L., Pluta, J., Raz, N., Rodrigue, K. M., Schlichting, M. L., Shing, Y. L., Stark, C. E. L., Steve, T. A., Suthana, N. A., Wang, L., Werkle-Bergner, M., Yushkevich, P. A., Yu, Q., Wisse, L. E. M., & Hippocampal Subfields Group. (2019). Progress update from the hippocampal subfields group: [Brain Imaging Working Group Summaries for the European Joint Programming for Neurodegenerative Research (JPND)]. Alzheimer's & Dementia, 11(12), 439–449. https://doi.org/10.1016/j.dadm.2019.04.001

Ousdal, O. T., Milde, A. M., Craven, A. R., Ersland, L., Endestad, T., Melinder, A., Huys, Q. J., & Hugdahl, K. (2019). Prefrontal glutamate levels predict altered amygdala-prefrontal connectivity in traumatized youths. Psychological Medicine, 49(11), 1822–1830. https://doi.org/10.1017/S0033291718002519

Papenberg, G., Jonasson, L., Karalija, N., Johansson, J., Köhncke, Y., Salami, A., Andersson, M., Axelsson, J., Wåhlin, A., Riklund, K., Lindenberger, U., Lövdén, M., Nyberg, L., & Bäckman, L. (2019). Mapping the landscape of human dopamine D2/3 receptors with [11C]raclopride. Brain Structure and Function, 224(8), 2871–2882. https://doi.org/10.1007/s00429-019-01938-1

Papenberg, G., Karalija, N., Salami, A., Andersson, M., Axelsson, J., Riklund, K., Lindenberger, U., Nyberg, L., & Bäckman, L. (2019). The influence of hippocampal dopamine D2 receptors on episodic memory is modulated by BDNF and KIBRA polymorphisms. Journal of Cognitive Neuroscience, 31(9), 1422–1429. https://doi.org/10.1162/jocn_a_01429

Perry, A., Roberts, G., Mitchell, P. B., & Breakspear, M. (2019). Connectomics of bipolar disorder: A critical review, and evidence for dynamic instabilities within interoceptive networks. Molecular Psychiatry, 24, 1296–1318. https://doi.org/10.1038/s41380-018-0267-2

Poldrack, R. A., Feingold, F., Frank, M. J., Gleeson, P., de Hollander, G., Huys, Q. J. M., Love, B. C., Markiewicz, C. J., Moran, R., Ritter, P., Rogers, T. T., Turner, B. M., Yarkoni, T., Zhan, M., & Cohen, J. D. (2019). The importance of standards for sharing of computational models and data. Computational Brain & Behavior, 2, 229–232. https://doi.org/10.1007/s42113-019-00062-x

Portugal, L. C. L., Schrouff, J., Stiffler, R., Bertocci, M., Bebko, G., Chase, H., Lockovitch, J., Aslam, H., Graur, S., Greenberg, T., Pereira, M., Oliveira, L., Phillips, M., & Mourão-Miranda, J. (2019). Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: A machine learning approach. NeuroImage: Clinical, 23, Article 101813. https://doi.org/10.1016/j.nicl.2019.101813

Rahnev, D., & Fleming, S. M. (2019). How experimental procedures influence estimates of metacognitive ability. Neuroscience of Consciousness, 5(1), Article niz009. https://doi.org/10.1093/nc/niz009

Reinelt, J., Uhlig, M., Müller, K., Lauckner, M. E., Kumral, D., Schaare, H. L., Baczkowski, B. M., Babayan, A., Erbey, M., Roebbig, J., Reiter, A., Bae, Y.-J., Kratzsch, J., Thiery, J., Hendler, T., Villringer, A., & Gaebler, M. (2019). Acute psychosocial stress alters thalamic network centrality. NeuroImage, 199, 680–690. https://doi.org/10.1016/j.neuroimage.2019.06.005

Reiter, A., Suzuki, S., O'Doherty, J. P., Li, S.-C., & Eppinger, B. (2019). Risk contagion by peers affects learning and decision-making in adolescents. Journal of Experimental Psychology: General, 148(9), 1494–1504. https://doi.org/10.1037/xge0000512