Publications of the Centre

Buchberger, E., Brandmaier, A. M., Lindenberger, U., Werkle-Bergner, M., & Ngo, C. T. (in press). The process structure of memory abilities in early and middle childhood [Registered Report]. Developmental Science.

Crine, V., Papenberg, G., Johansson, J., Boraxbekk, C.-J., Wåhlin, A., Lindenberger, U., Lövdén, M., Riklund, K., Bäckman, L., Nyberg, L., & Karalija, N. (2025). Associations between inflammation and striatal dopamine D2-receptor availability in aging. Journal of Neuroinflammation, 22, Article 24. https://doi.org/10.1186/s12974-025-03355-0

Drewelies, J., Fiedler, A., Brick, T. R., & Kühn, S. (2025). Investigating associations between the physical living environment and hippocampus in adulthood and older age. Environmental Research, 267, Article 120728. https://doi.org/10.1016/j.envres.2024.120728

Dutt, S., Bachman, S. L., Dahl, M. J., Li, Y., Yew, B., Jang, J. Y., Ho, J. K., Nashiro, K., Min, J., Yoo, H. J., Gaubert, A., Nguyen, A., Blanken, A. E., Sible, I. J., Marshall, A. J., Kapoor, A., Alitin, J. P. M., Hoang, K., Rouanet, J., Sordo, L., Head, E., Shao, X., Wang, D. J. J., Mather, M., & Nation, D. A. (2025). Locus coeruleus MRI contrast, cerebral perfusion, and plasma Alzheimer's disease biomarkers in older adults. Neurobiology of Aging, 147, 12–21. https://doi.org/10.1016/j.neurobiolaging.2024.11.008

Ershadmanesh, S., Rajabi, S., Rostami, R., Moran, R., & Dayan, P. (2025). Noradrenergic and dopaminergic modulation of meta-cognition and meta-control. PLoS Computational Biology. Advance online publication. https://doi.org/10.1371/journal.pcbi.1012675

Fleming, S. M., & Shea, N. (2025). Empirical approaches to determining quality space computations for consciousness: A response to Dołęga et al. and Song. Trends in Cognitive Sciences, 29(2), 109–110. https://doi.org/10.1016/j.tics.2024.12.001

Ghisletta, P., Aichele, S., Gerstorf, D., Carollo, A., & Lindenberger, U. (2025). Verbal fluency selectively predicts survival in old and very old age. Psychological Science. Advance online publication. https://doi.org/10.1177/09567976241311923

Glickman, M., & Sharot, T. (2025). How human-AI feedback loops alter human perceptual, emotional and social judgements. Nature Human Behaviour, 9, 345–359. https://doi.org/10.1038/s41562-024-02077-2

Haarsma, J., Kaltenmaier, A., Fleming, S. M., & Kok, P. (2025). Expectations about presence enhance the influence of content-specific expectations on low-level orientation judgements. Cognition, 254, Article 105961. https://doi.org/10.1016/j.cognition.2024.105961

Habicht, J., Dina, L.-M., McFadyen, J., Stylianou, M., Harper, R., Hauser, T. U., & Rollwage, M. (2025). Generative AI-enabled therapy support tool for improved clinical outcomes and patient engagement in group therapy: Real-world observational study. Journal of Medical Internet Research, 27, Article e60435. https://doi.org/10.2196/60435

Katyal, S., Huys, Q. J. M., Dolan, R. J., & Fleming, S. M. (2025). Distorted learning from local metacognition supports transdiagnostic underconfidence. Nature Communications, 16, Article 1854. https://doi.org/10.1038/s41467-025-57040-0

Kelly, C. A., & Sharot, T. (2025). Web-browsing patterns reflect and shape mood and mental health. Nature Human Behaviour, 9, 133–146. https://doi.org/10.1038/s41562-024-02065-6

Lalwani, P., Polk, T. A., & Garrett, D. D. (in press). Modulation of neural variability: Age-related reduction, GABAergic basis, and behavioral implications. eLife.

Lin, Y., & Wittmann, M. K. (2025). Multiple predictions of others' actions in the human brain. Trends in Neurosciences, 48(1), 3–4. https://doi.org/10.1016/j.tins.2024.10.009

Meunier-Duperray, L., Mazancieux, A., Souchay, C., Fleming, S. M., Bastin, C., Moulin, C. J. A., & Angel, L. (2025). Does age affect metacognition? A cross-domain investigation using a hierarchical Bayesian framework. Cognition, 258, Article 106089. https://doi.org/10.1016/j.cognition.2025.106089

Miegel, F., Lohse, L., Jelinek, L., Scheunemann, J., Gabbert, T., Schauenburg, G., Bittner, L., Mostajeran, F., Kühn, S., Gallinat, J., & Yassari, A. (2025). Digital nature: Unveiling the impact and safety of FlowVR group intervention for depression in a feasibility trial. Acta Psychiatrica Scandinavica, 151(3), 304–316. https://doi.org/10.1111/acps.13731

Miyamoto, K., Harbison, C., Tanaka, S., Saito, M., Luo, S., Matsui, S., Sankhe, P., Mahmoodi, A., Lin, M., Trudel, N., Shea, N., & Rushworth, M. F. S. (2025). Asymmetric projection of introspection reveals a behavioural and neural mechanism for interindividual social coordination. Nature Communications, 16, Article 295. https://doi.org/10.1038/s41467-024-55202-0

Mooraj, Z., Salami, A., Campbell, K. L., Dahl, M. J., Kosciessa, J. Q., Nassar, M. R., Werkle-Bergner, M., Craik, F. I. M., Lindenberger, U., Mayr, U., Rajah, M. N., Raz, N., Nyberg, L., & Garrett, D. D. (2025). Toward a functional future for the cognitive neuroscience of human aging. Neuron, 113(1), 154–183. https://doi.org/10.1016/j.neuron.2024.12.008

Motka, F., Kühn, S., & Wittekind, C. E. (2025). Deficits in general and smoking-specific response inhibition in the Go/No-Go task in individuals who smoke: A cross-sectional analysis. Addiction. Advance online publication. https://doi.org/10.1111/add.70003

Motka, F., Wittekind, C. E., Ascone, L., & Kühn, S. (2025). Efficacy and working mechanisms of a go/no-go task-based inhibition training in smoking: A randomized-controlled trial. Behaviour Research and Therapy, 185, Article 104672. https://doi.org/10.1016/j.brat.2024.104672