Publications of the Centre

Huys, Q. J. M., Browning, M., Paulus, M. P., & Frank, M. J. (2021). Advances in the computational understanding of mental illness. Neuropsychopharmacology, 46, 3–19. https://doi.org/10.1038/s41386-020-0746-4

Abivardi, A., Khemka, S., & Bach, D. R. (2020). Hippocampal representation of threat features and behavior in a human approach–avoidance conflict anxiety task. The Journal of Neuroscience, 40(35), 6748–6758. https://doi.org/10.1523/JNEUROSCI.2732-19.2020

Adams, R. A., Bush, D., Zheng, F., Meyer, S. S., Kaplan, R., Orfanos, S., Marques, T. R., Howes, O. D., & Burgess, N. (2020). Impaired theta phase coupling underlies frontotemporal dysconnectivity in schizophrenia. Brain, 143(4), 1261–1277. https://doi.org/10.1093/brain/awaa035

Adams, R. A., Moutoussis, M., Nour, M. M., Dahoun, T., Lewis, D., Illingworth, B., Veronese, M., Mathys, C., de Boer, L., Guitart-Masip, M., Friston, K. J., Howes, O. D., & Roiser, J. P. (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. Cerebral Cortex, 30(6), 3573–3589. https://doi.org/10.1093/cercor/bhz327

Åkerstedt, T., Lekander, M., Nilsonne, G., Tamm, S., d’Onofrio, P., Kecklund, G., Fischer, H., Schwarz, J., Petrovic, P., & Månsson, K. N. T. (2020). Gray matter volume correlates of sleepiness: A voxel–based morphometry study in younger and older adults. Nature and Science of Sleep, 12, 289–298. https://doi.org/10.2147/NSS.S240493

Allegra, M., Seyed-Allaei, S., Schuck, N. W., Amati, D., Laio, A., & Reverberi, C. (2020). Brain network dynamics during spontaneous strategy shifts and incremental task optimization. NeuroImage, 217, Article 116854. https://doi.org/10.1016/j.neuroimage.2020.116854

Arnold, M., Oberski, D. L., Brandmaier, A. M., & Voelkle, M. C. (2020). Identifying heterogeneity in dynamic panel models with individual parameter contribution regression. Structural Equation Modeling, 27(4), 613–628. https://doi.org/10.1080/10705511.2019.1667240

Bach, D. R., Melinščak, F., Fleming, S. M., & Voelkle, M. C. (2020). Calibrating the experimental measurement of psychological attributes. Nature Human Behaviour. Advance online publication. https://doi.org/10.1038/s41562-020-00976-8

Bach, D. R., & Melinscak, F. (2020). Psychophysiological modelling and the measurement of fear conditioning. Behaviour Research and Therapy, 127, Article 103576. https://doi.org/10.1016/j.brat.2020.103576

Bach, D. R., Moutoussis, M., Bowler, A., Neuroscience in Psychiatry Network consortium, & Dolan, R. J. (2020). Predictors of risky foraging behaviour in healthy young people. Nature Human Behaviour, 4, 832–843. https://doi.org/10.1038/s41562-020-0867-0

Banca, P., McNamee, D., Piercy, T., Luo, Q., & Robbins, T. W. (2020). A mobile phone app for the generation and characterization of motor habits. Frontiers in Psychology, 10, Article 2850. https://doi.org/10.3389/fpsyg.2019.02850

Bang, D., Kishida, K. T., Lohrenz, T., White, J. P., Laxton, A. W., Tatter, S. B., Fleming, S. M., & Montague, P. R. (2020). Sub-second dopamine and serotonin signaling in human striatum during perceptual decision-making. Neuron. Advance online publication. https://doi.org/10.1016/j.neuron.2020.09.015

Bang, D., Ershadmanesh, S., Nili, H., & Fleming, S. M. (2020). Private-public mappings in human prefrontal cortex. eLife, 9, Article e56477. https://doi.org/10.7554/eLife.56477

Barnby, J. M., Bell, V., Mehta, M. A., & Moutoussis, M. (2020). Reduction in social learning and increased policy uncertainty about harmful intent is associated with pre-existing paranoid beliefs: Evidence from modelling a modified serial dictator game. PLoS Computational Biology, 16(10), Article e1008372. https://doi.org/10.1371/journal.pcbi.1008372

Bender, A. R., Brandmaier, A. M., Düzel, S., Keresztes, A., Pasternak, O., Lindenberger, U., & Kühn, S. (2020). Hippocampal subfields and limbic white matter jointly predict learning rate in older adults. Cerebral Cortex, 30(4), 2465–2477. https://doi.org/10.1093/cercor/bhz252

Berwian, I. M., Wenzel, J. G., Collins, A. G. E., Seifritz, E., Stephan, K. E., Walter, H., & Huys, Q. J. M. (2020). Computational mechanisms of effort and reward decisions in patients with depression and their association with relapse after antidepressant discontinuation. JAMA Psychiatry, 77(5), 513–522. https://doi.org/10.1001/jamapsychiatry.2019.4971

Betts, M. J., Richter, A., de Boer, L., Tegelbeckers, J., Peros, V., Baumann, V., Chowdhury, R., Dolan, R. J., Seidenbecher, C., Schott, B., Düzel, E., Guitart-Masip, M., & Krauel, K. (2020). Learning in anticipation of reward and punishment: Perspectives across the human lifespan. Neurobiology of Aging, 96, 49–57. https://doi.org/10.1016/j.neurobiolaging.2020.08.011

Brakowski, J., Manoliu, A., Homan, P., Bosch, O., Herdener, M., Seifritz, E., Kaiser, S., & Kirschner, M. (2020). Aberrant striatal coupling with default mode and central executive network relates to self-reported avolition and anhedonia in schizophrenia. Journal of Psychiatric Research. Advance online publication. https://doi.org/10.1016/j.jpsychires.2020.10.047

Brandmaier, A. M., Ghisletta, P., & von Oertzen, T. (2020). Optimal planned missing data design for linear latent growth curve models. Behavior Research Methods, 52, 1445–1458. https://doi.org/10.3758/s13428-019-01325-y

Browning, M., Carter, C. S., Chathame, C., Ouden, H. D., Gillan, C. M., Baker, J. T., Chekroud, A. M., Cools, R., Dayan, P., Gold, J., Goldstein, R. Z., Hartley, C. A., Kepecs, A., Lawson, R. P., Mourão-Miranda, J., Phillips, M. L., Pizzagalli, D. A., Powers, A., Rindskopf, D., Roiser, J. P., Schmack, K., Schiller, D., Sebold, M., Stephan, K. E., Frank, M. J., Huys, Q. J. M., & Paulus, M. (2020). Realizing the clinical potential of computational psychiatry: Report from the Banbury Center Meeting, February 2019. Biological Psychiatry, 88(2), e5–e10. https://doi.org/10.1016/j.biopsych.2019.12.026