Publications of the Centre

Chen, H., Belanger, M. J., Garbusow, M., Kuitunen-Paul, S., Huys, Q. J. M., Heinz, A., Rapp, M. A., & Smolka, M. N. (2023). Susceptibility to interference between Pavlovian and instrumental control predisposes risky alcohol use developmental trajectory from ages 18 to 24. Addiction Biology, 28(2), Article e13263. https://doi.org/10.1111/adb.13263

Gehlenborg, J., Göritz, A. S., Moritz, S., & Kühn, S. (2023). Long-term effects of imaginal retraining in overweight and obesity: A controlled study. Journal of Behavior Therapy and Experimental Psychiatry, 78, Article 101794. https://doi.org/10.1016/j.jbtep.2022.101794

Gerstorf, D., Ram, N., Drewelies, J., Duezel, S., Eibich, P., Steinhagen-Thiessen, E., Liebig, S., Goebel, J., Demuth, I., Villringer, A., Wagner, G. G., Lindenberger, U., & Ghisletta, P. (2023). Today’s older adults are cognitively fitter than older adults were 20 years ago, but when and how they decline is no different than in the past. Psychological Science, 34(1), 22–34. https://doi.org/10.1177/09567976221118541

Glickman, M., Sela, T., Usher, M., & Levy, D. J. (2023). The effect of perceptual organization on numerical and preference‑based decisions shows inter‑subject correlation. Psychonomic Bulletin & Review. Advance online publication. https://doi.org/10.3758/s13423-022-02234-6

Kaar, S. J., Nottage, J. F., Angelescu, I., Marques, T. R., & Howes, O. D. (2023). Gamma oscillations and potassium channel modulation in schizophrenia: Targeting GABAergic dysfunction. Clinical EEG and Neuroscience. Advance online publication. https://doi.org/10.1177/15500594221148643

Krohn, S., von Schwanenflug, N., Waschke, L., Romanello, A., Gell, M., Garrett, D. D., & Finke, C. (in press). A spatiotemporal complexity architecture of human brain activity. Science Advances.

Polk, S. E., Kleemeyer, M. M., Bodammer, N. C., Misgeld, C., Porst, J., Wolfarth, B., Kühn, S., Lindenberger, U., Düzel, S., & Wenger, E. (2023). Aerobic exercise is associated with region-specific changes in volumetric, tensor-based, and fixel-based measures of white matter integrity in healthy older adults. Neuroimage: Reports, 3, Article 100155. https://doi.org/10.1016/j.ynirp.2022.100155

Adams, R. A., Pinotsis, D., Tsirlis, K., Unruh, L., Mahajan, A., Horas, A. M., Convertino, L., Summerfelt, A., Sampath, H., Du, X. M., Kochunov, P., Ji, J. L., Repovs, G., Murray, J. D., Friston, K. J., Hong, L. E., & Anticevic, A. (2022). Computational modeling of electroencephalography and functional magnetic resonance imaging paradigms indicates a consistent loss of pyramidal cell synaptic gain in schizophrenia. Biological Psychiatry, 91(2), 202–215. https://doi.org/10.1016/j.biopsych.2021.07.024

Adams, R. A., Vincent, P., Benrimoh, D., Friston, K. J., & Parr, T. (2022). Everything is connected: Inference and attractors in delusions. Schizophrenia Research, 245, 5–22. https://doi.org/10.1016/j.schres.2021.07.032

Anand, C., Brandmaier, A. M., Lynn, J., Arshad, M., Stanley, J. A., & Raz, N. (2022). Test-retest and repositioning effects of white matter microstructure measurements in selected white matter tracts. Neuroimage: Reports, 2, Article 100096. https://doi.org/10.1016/j.ynirp.2022.100096

Angelescu, I., Kaar, S. J., Marques, T. R., Borgan, F., Veronesse, M., Sharman, A., Sajjala, A., Deakin, B., Hutchison, J., Large, C., & Howes, O. D. (2022). The effect of AUT00206, a Kv3 potassium channel modulator, on dopamine synthesis capacity and the reliability of [18F]-FDOPA imaging in schizophrenia. Journal of Psychopharmacology, 36(9), 1061–1069. https://doi.org/10.1177/02698811221122031

Bach, D. R. (2022). Cross-species anxiety tests in psychiatry: Pitfalls and promises. Molecular Psychiatry, 27, 154–163. https://doi.org/10.1038/s41380-021-01299-4

Bach, D. R. (2022). Aversive conditioning: Principles of memory storage in sensory cortex. Current Biology, 32(9), R426–R428. https://doi.org/10.1016/j.cub.2022.03.068

Bang, D., Moran, R., Daw, N. D., & Fleming, S. M. (2022). Neurocomputational mechanisms of confidence in self and others. Nature Communications, 13, Article 4238. https://doi.org/10.1038/s41467-022-31674-w

Barnby, J. M., Mehta, M. A., & Moutoussis, M. (2022). The computational relationship between reinforcement learning, social inference, and paranoia. PLoS Computational Biology, 18(7), Article e1010326. https://doi.org/10.1371/journal.pcbi.1010326

Berwian, I. M., Wenzel, J. G., Kuehn, L., Schnuerer, I., Seifritz, E., Stephan, K. E., Walter, H., & Huys, Q. J. M. (2022). Low predictive power of clinical features for relapse prediction after antidepressant discontinuation in a naturalistic setting. Scientific Reports, 12, Article 11171. https://doi.org/10.1038/s41598-022-13893-9

Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., Astle, D. E., Auyeung, B., Ayub, M., Bae, J., Ball, G., Baron-Cohen, S., Beare, R., Bedford, S. A., Benegal, V., Beyer, F., Blangero, J., Blesa Cábez, M., Boardman, J. P., Borzage, M., Bosch-Bayard, J. F., Bourke, N., Calhoun, V. D., Chakravarty, M. M., Chen, C., Chertavian, C., Chetelat, G., Chong, Y. S., Cole, J. H., Corvin, A., Costantino, M., Courchesne, E., Crivello, F., Cropley, V. L., Crosbie, J., Crossley, N., Delarue, M., Delorme, R., Desrivieres, S., Devenyi, G. A., Di Biase, M. A., Dolan, R., Donald, K. A., Donohoe, G., Dunlop, K., Edwards, A. D., Elison, J. T., Ellis, C. T., Elman, J. A., Eyler, L., Fair, D. A., Feczko, E., Fletcher, P. C., Fonagy, P., Franz, C. E., Galan-Garcia, L., Gholipour, A., Giedd, J., Gilmore, J. H., Glahn, D. C., Goodyer, I. M., Grant, P. E., Groenewold, N. A., Gunning, F. M., Gur, R. E., Gur, R. C., Hammill, C. F., Hansson, O., Hedden, T., Heinz, A., Henson, R. N., Heuer, K., Hoare, J., Holla, B., Holmes, A. J., Holt, R., Huang, H., Im, K., Ipser, J., Jack Jr, C. R., Jackowski, A. P., Jia, T., Johnson, K. A., Jones, P. B., Jones, D. T., Kahn, R. S., Karlsson, H., Karlsson, L., Kawashima, R., Kelley, E. A., Kern, S., Kim, K. W., Kitzbichler, M. G., Kremen, W. S., Lalonde, F., Landeau, B., Lee, S., Lerch, J., Lewis, J. D., Li, J., Liao, W., Liston, C., Lombardo, M. V., Lv, J., Lynch, C., Mallard, T. T., Marcelis, M., Markello, R. D., Mathias, S. R., Mazoyer, B., McGuire, P., Meaney, M. J., Mechelli, A., Medic, N., Misic, B., Morgan, S. E., Mothersill, D., Nigg, J., Ong, M. Q. W., Ortinau, C., Ossenkoppele, R., Ouyang, M., Palaniyappan, L., Paly, L., Pan, P. M., Pantelis, C., Park, M. M., Paus, T., Pausova, Z., Paz-Linares, D., Pichet Binette, A., Pierce, K., Qian, X., Qiu, J., Qiu, A., Raznahan, A., Rittman, T., Rodrigue, A., Rollins, C. K., Romero-Garcia, R., Ronan, L., Rosenberg, M. D., Rowitch, D. H., Salum, G. A., Satterthwaite, T. D., Schaare, H. L., Schachar, R. J., Schultz, A. P., Schumann, G., Schöll, M., Sharp, D., Shinohara, R. T., Skoog, I., Smyser, C. D., Sperling, R. A., Stein, D. J., Stolicyn, A., Suckling, J., Sullivan, G., Taki, Y., Thyreau, B., Toro, R., Traut, N., Tsvetanov, K. A., Turk-Browne, N. B., Tuulari, J. J., Tzourio, C., Vachon-Presseau, É., Valdes-Sosa, M. J., Valdes-Sosa, P. A., Valk, S. L., van Amelsvoort, T., Vandekar, S. N., Vasung, L., Victoria, L. W., Villeneuve, S., Villringer, A., Vértes, P. E., Wagstyl, K., Wang, Y. S., Warfield, S. K., Warrier, V., Westman, E., Westwater, M. L., Whalley, H. C., Witte, A. V., Yang, N., Yeo, B., Yun, H., Zalesky, A., Zar, H. J., Zettergren, A., Zhou, J. H., Ziauddeen, H., Zugman, A., Zuo, X. N., 3R-BRAIN, AIBL, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Repository Without Borders Investigators, CALM Team, Cam-CAN, CCNP, COBRE, cVEDA, ENIGMA Developmental Brain Age Working Group, Developing Human Connectome Project, FinnBrain, Harvard Aging Brain Study, IMAGEN, KNE96, The Mayo Clinic Study of Aging, NSPN, POND, The PREVENT-AD Research Group, VETSA, Bullmore, E. T., & Alexander-Bloch, A. F. (2022). Brain charts for the human lifespan. Nature, 604, 525–533. https://doi.org/10.1038/s41586-022-04554-y

Binnewies, J., Nawijn, L., Brandmaier, A. M., Baaré, W. F. C., Bartrés-Faz, D., Drevon, C. A., Düzel, S., Fjell, A. M., Han, L. K. M., Knights, E., Lindenberger, U., Milaneschi, Y., Mowinckel, A. M., Nyberg, L., Plachti, A., Madsen, K. S., Solé-Padullés, C., Suri, S., Walhovd, K. B., Zsoldos, E., Ebmeier, K. P., & Penninx, B. W. J. H. (2022). Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium. NeuroImage: Clinical, 36, Article 103180. https://doi.org/10.1016/j.nicl.2022.103180

Blain, B., Marks, J., Czech, P., & Sharot, T. (2022). Observing others give & take: A computational account of bystanders’ feelings and actions. PLoS Computational Biology, 18(5), Article e1010010. https://doi.org/10.1371/journal.pcbi.1010010

Bottemanne, H., Morlaas, O., Claret, A., Sharot, T., Fossati, P., & Schmidt, L. (2022). Evaluation of early ketamine effects on belief-updating biases in patients with treatment-resistant depression. JAMA Psychiatry, 79(11), 1124–1132. https://doi.org/10.1001/jamapsychiatry.2022.2996