Publications of Ulman Lindenberger

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

Fraemke, D., Willems, Y. E., Okbay, A., Lindenberger, U., Zinn, S., Wagner, G. G., Richter, D., Harden, K. P., Tucker-Drob, E. M., Hertwig, R., Koellinger, P., & Raffington, L. (in press). Polygenic associations with educational attainment in East versus West Germany: Differences emerge after reunification. Psychological Science.

Gerstorf, D., Aichele, S., Lindenberger, U., Rabbitt, P., & Ghisletta, P. (in press). Little to no evidence for historical improvements in verbal learning among older adults. Psychology and Aging.

Ghisletta, P., Aichele, S., Gerstorf, D., Carollo, A., & Lindenberger, U. (2025). Verbal fluency selectively predicts survival in old and very old age. Psychological Science, 36(2), 87–101. https://doi.org/10.1177/09567976241311923

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

Papenberg, G., Karalija, N., Salami, A., Johansson, J., Wåhlin, A., Andersson, M., Axelsson, J., Garrett, D. D., Riklund, K., Lindenberger, U., Nyberg, L., & Bäckman, L. (2025). Aging-related losses in dopamine D2/3 receptor availability are linked to working-memory decline across five years. Cerebral Cortex, 35(2), Article bhae481. https://doi.org/10.1093/cercor/bhae481

Vidal-Piñeiro, D., Sørensen, Ø., Strømstad, M., Amlien, I. K., Anderson, M., Baaré, W. F. C., Bartrés-Faz, D., Brandmaier, A. M., Bråthen, A. C., Garrido, P., Ghisletta, P., Grydeland, H., Henson, R. N., Kievit, R. A., Kormacher, M., Kühn, S., Lindenberger, U., Mowinckel, A. M., Nyberg, L., Roe, J. M., Sneve, M. H., Sole-Padulles, C., Watne, L.-O., Walhovd, K. B., & Fjell, A. M. (2025). Reliability of structural brain change in cognitively healthy adult samples. Imaging Neuroscience. Advance online publication. https://doi.org/10.1162/imag_a_00547

Waschke, L., Kamp, F., van den Elzen, E., Krishna, S., Lindenberger, U., Rutishauser, U., & Garrett, D. D. (2025). Single-neuron spiking variability in hippocampus dynamically tracks sensory content during memory formation in humans. Nature Communications, 16, Article 236. https://doi.org/10.1038/s41467-024-55406-4

Brandmaier, A. M., Lindenberger, U., & McCormick, E. M. (2024). Optimal two-time point longitudinal models for estimating individual-level change: Asymptotic insights and practical implications. Developmental Cognitive Neuroscience, 70, Article 101450. https://doi.org/10.1016/j.dcn.2024.101450

Buchberger, E. S., Joechner, A.-K., Ngo, C. T., Lindenberger, U., & Werkle-Bergner, M. (2024). Age differences in generalization, memory specificity, and their overnight fate in childhood. Child Development, 95(4), e270–e286. https://doi.org/10.1111/cdev.14089

Drewelies, J., Homann, J., Vetter, V. M., Duezel, S., Kühn, S., Deecke, L., Steinhagen-Thiessen, E., Jawinski, P., Markett, S., Lindenberger, U., Lill, C. M., Bertram, L., Demuth, I., & Gerstorf, D. (2024). There are multiple clocks that time us: Cross-sectional and longitudinal associations among 14 alternative indicators of age and aging. The Journals of Gerontology: A, Biological Sciences and Medical Sciences. Advance online publication. https://doi.org/10.1093/gerona/glae244

Hille, M., Kühn, S., Kempermann, G., Bonhoeffer, T., & Lindenberger, U. (2024). From animal models to human individuality: Integrative approaches to the study of brain plasticity. Neuron, 112(21), 3522–3541. https://doi.org/10.1016/j.neuron.2024.10.006

Karalija, N., Papenberg, G., Johansson, J., Wåhlin, A., Salami, A., Andersson, M., Axelsson, J., Kuznetsov, D., Riklund, K., Lövdén, M., Lindenberger, U., Bäckman, L., & Nyberg, L. (2024). Longitudinal support for the correlative triad among aging, dopamine D2-like receptor loss, and memory decline. Neurobiology of Aging, 136, 125–132. https://doi.org/10.1016/j.neurobiolaging.2024.02.001

Köhncke, Y., Kühn, S., Düzel, S., Sander, M. C., Brandmaier, A. M., & Lindenberger, U. (2024). Grey-matter structure in cortical and limbic regions correlates with general cognitive ability in old age. Aging Brain, 5, Article 100103. https://doi.org/10.1016/j.nbas.2023.100103

Kosciessa, J. Q., Mayr, U., Lindenberger, U., & Garrett, D. D. (2024). Broadscale dampening of uncertainty adjustment in the aging brain. Nature Communications, 15, Article 10717. https://doi.org/10.1038/s41467-024-55416-2

Mascherek, A., Düzel, S., Eibich, P., Krekel, C., Goebel, J., Gallinat, J., Wagner, G. G., Lindenberger, U., & Kühn, S. (2024). Working memory and fluid intelligence are differentially related to categories of urban fabric in older adults: Results from the Berlin Aging Study. Journal of Environmental Psychology, 93, Article 102224. https://doi.org/10.1016/j.jenvp.2023.102224

Müller, V., & Lindenberger, U. (2024). Hyper-brain hyper-frequency network topology dynamics when playing guitar in quartet. Frontiers in Human Neuroscience, 18, Article 1416667. https://doi.org/10.3389/fnhum.2024.1416667

Papenberg, G., Karalija, N., Johansson, J., Andersson, M., Axelsson, J., Riklund, K., Lindenberger, U., Nyberg, L., & Bäckman, L. (2024). The influence of hippocampal dopamine D2 receptor losses on episodic-memory decline across 5 years is moderated by BDNF and KIBRA polymorphisms. Cortex, 176, 53–61. https://doi.org/10.1016/j.cortex.2024.01.014

Parsons, S., Brandmaier, A. M., Lindenberger, U., & Kievit, R. (2024). Longitudinal stability of cortical grey matter measures varies across brain regions, imaging metrics, and testing sites in the ABCD study. Imaging Neuroscience, 2, 1–22. https://doi.org/10.1162/imag_a_00086