Hofmans, L., & van den Bos, W. (2022). Social learning across adolescence: A Bayesian neurocognitive perspective. Developmental Cognitive Neuroscience, 58, Article 101151. https://doi.org/10.1016/j.dcn.2022.101151

Holzleitner, I. J., Driebe, J. C., Arslan, R. C., Hahn, A. C., Lee, A. J., O’Shea, K. J., Gerlach, T. M., Penke, L., Jones, B. C., & DeBruine, L. M. (2022). No increased inbreeding avoidance during the ovulatory phase of the menstrual cycle. Evolutionary Human Sciences, 4, Article e47. https://doi.org/10.1017/ehs.2022.41

Jack, M. (2022). What’s the crowd got to do with it? On fandom and antifascist action at Eis Hockey Club Dynamo Berlin. TDR, 66(3), 133–148. https://doi.org/10.1017/S1054204322000351

Jaquiery, M., & El Zein, M. (2022). Stage 2 Registered Report: How responsibility attributions to self and others relate to outcome ownership in group decisions [version 2; peer review: 2 approved]. Wellcome Open Research, 6, Article 362. https://doi.org/10.12688/wellcomeopenres.17504.2

Jawinski, P., Markett, S., Drewelies, J., Düzel, S., Demuth, I., Steinhagen-Thiessen, E., Wagner, G. G., Gerstorf, D., Lindenberger, U., Gaser, C., & Kühn, S. (2022). Linking brain age gap to mental and physical health in the Berlin Aging Study II. Frontiers in Aging Neuroscience, 14, Article 791222. https://doi.org/10.3389/fnagi.2022.791222

Jenny, M. A., & Betsch, C. (2022). Large-scale behavioural data are key to climate policy. Nature Human Behaviour, 6, 1444–1447. https://doi.org/10.1038/s41562-022-01479-4

Johansson, J., Wåhlin, A., Lundquist, A., Brandmaier, A. M., Lindenberger, U., & Nyberg, L. (2022). Model of brain maintenance reveals specific change-change association between medial-temporal lobe integrity and episodic memory. Aging Brain, 2, Article 100027. https://doi.org/10.1016/j.nbas.2021.100027

Kämmer, J. E., & Ewers, M. (2022). Stereotypes of experienced health professionals in an interprofessional context: Results from a cross-sectional survey in Germany. Journal of Interprofessional Care, 36(3), 350–361. https://doi.org/10.1080/13561820.2021.1903405

Kämmer, J. E., & Hautz, W. E. (2022). Beyond competence: Towards a more holistic perspective in medical education. Medical Education, 56(1), 4–6. https://doi.org/10.1111/medu.14692

Karakuzu, A., Appelhoff, S., Auer, T., Boudreau, M., Feingold, F., Khan, A. R., Lazari, A., Markiewicz, C., Mulder, M., Phillips, C., Salo, T., Stikov, N., Whitaker, K., & de Hollander, G. (2022). qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data. Scientific Data, 9, Article 517. https://doi.org/10.1038/s41597-022-01571-4

Karalija, N., Johansson, J., Papenberg, G., Wåhlin, A., Salami, A., Köhncke, Y., Brandmaier, A. M., Andersson, M., Axelsson, J., Riklund, K., Lövdén, M., Lindenberger, U., Bäckman, L., & Nyberg, L. (2022). Longitudinal dopamine D2 receptor changes and cerebrovascular health in aging. Neurology, 99(12), e1278–e1289. https://doi.org/10.1212/WNL.0000000000200891

Karlsson, A. E., Lindenberger, U., & Sander, M. C. (2022). Out of rhythm: Compromised precision of theta-gamma coupling impairs associative memory in old age. The Journal of Neuroscience, 42(9), 1752–1764. https://doi.org/10.1523/JNEUROSCI.1678-21.2021

Katsikopoulos, K. V., Şimşek, Ö., Buckmann, M., & Gigerenzer, G. (2022). Transparent modeling of influenza incidence: Big data or a single data point from psychological theory? International Journal of Forecasting, 38(2), 613–619. https://doi.org/10.1016/j.ijforecast.2020.12.006

Katsikopoulos, K. V., Şimşek, Ö., Buckmann, M., & Gigerenzer, G. (2022). Reply to commentaries on "Transparent modelling of influenza incidence": Recency heuristics and psychological AI. International Journal of Forecasting, 38(2), 630–634. https://doi.org/10.1016/j.ijforecast.2021.10.011

Kempermann, G., Lopes, J. B., Zocher, S., Schilling, S., Ehret, F., Garthe, A., Karasinsky, A., Brandmaier, A. M., Lindenberger, U., Winter, Y., & Overall, R. W. (2022). The individuality paradigm: Automated longitudinal activity tracking of large cohorts of genetically identical mice in an enriched environment. Neurobiology of Disease, 175, Article 105916. https://doi.org/10.1016/j.nbd.2022.105916

Keresztes, A., Raffington, L., Bender, A. R., Bögl, K., Heim, C., & Shing, Y. L. (2022). Longitudinal developmental trajectories do not follow cross-sectional age associations in hippocampal subfield and memory development. Developmental Cognitive Neuroscience, 54, Article 101085. https://doi.org/10.1016/j.dcn.2022.101085

Kerrén, C., van Bree, S., Griffiths, B. J., & Wimber, M. (2022). Phase separation of competing memories along the human hippocampal theta rhythm. eLife, 11, Article e80633. https://doi.org/10.7554/eLife.80633

Keshmirian, A., Deroy, O., & Bahrami, B. (2022). Many heads are more utilitarian than one. Cognition, 220, Article 104965. https://doi.org/10.1016/j.cognition.2021.104965

Keshmirian, A., Hemmatian, B., Bahrami, B., Deroy, O., & Cushman, F. (2022). Diffusion of punishment in collective norm violations. Scientific Reports, 12, Article 15318. https://doi.org/10.1038/s41598-022-19156-x

Kievit, R. A., McCormick, E. M., Fuhrmann, D., Deserno, M. K., & Orben, A. (2022). Using large, publicly available data sets to study adolescent development: Opportunities and challenges. Current Opinion in Psychology, 44, 303–308. https://doi.org/10.1016/j.copsyc.2021.10.003