Publikationen von Ulman Lindenberger

Müller, V., & Lindenberger, U. (2023). Intra- and interbrain synchrony and hyperbrain network dynamics of a guitarist quartet and its audience during a concert. Annals of the New York Academy of Sciences, 1523(1), 74–90. https://doi.org/10.1111/nyas.14987

Nyberg, L., Andersson, M., Lundquist, A., Baaré, W. F. C., Bartrés-Faz, D., Bertram, L., Boraxbekk, C.-J., Brandmaier, A. M., Demnitz, N., Drevon, C. A., Düzel, S., Ebmeier, K. P., Ghisletta, P., Henson, R., Jensen, D. E. A., Kievit, R. A., Knights, E., Kühn, S., Lindenberger, U., Plachti, A., Pudas, S., Roe, J. M., Madsen, K. S., Solé-Padullés, C., Sommerer, Y., Suri, S., Zsoldos, E., Fjell, A. M., & Walhovd, K. B. (2023). Individual differences in brain aging: Heterogeneity in cortico-hippocampal but not caudate atrophy rates. Cerebral Cortex, 33(9), 5075–5081. https://doi.org/10.1093/cercor/bhac400

Papadaki, E., Koustakas, T., Werner, A., Lindenberger, U., Kühn, S., & Wenger, E. (2023). Resting-state functional connectivity in an auditory network differs between aspiring professionals and amateur musicians and correlates with performance. Brain Structure and Function, 228(9), 2147–2163. https://doi.org/10.1007/s00429-023-02711-1

Plini, E. R. G., Melnychuk, M. C., Harkin, A., Dahl, M. J., McAuslan, M., Kühn, S., Boyle, R. T., Whelan, R., Andrews, R., Düzel, S., Drewelies, J., Wagner, G. G., Lindenberger, U., Norman, K., Robertson, I. H., & Dockree, P. M. (2023). Dietary tyrosine intake (FFQ) is associated with locus coeruleus, attention and grey matter maintenance: An MRI structural study on 398 healthy individuals of the Berlin Aging Study-II. The Journal of Nutrition, Health & Aging, 27(12), 1174–1187. https://doi.org/10.1007/s12603-023-2005-y

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

Schaefer, S., Riediger, M., Li, S.-C., & Lindenberger, U. (2023). Too easy, too hard, or just right: Lifespan age differences and gender effects on task difficulty choices. International Journal of Behavioral Development, 47(3), 253–264. https://doi.org/10.1177/01650254231160126

Schmiedek, F., Kroehne, U., Goldhammer, F., Prindle, J. J., Lindenberger, U., Klinger-König, J., Grabe, H. J., Riedel-Heller, S. G., Pabst, A., Streit, F., Zillich, L., Kleineidam, L., Wagner, M., Rietschel, M., Rujescu, D., Schmidt, B., Nako Investigators, & Berger, K. (2023). General cognitive ability assessment in the German National Cohort (NAKO): The block-adaptive number series task. The World Journal of Biological Psychiatry, 24(10), 924–935. https://doi.org/10.1080/15622975.2021.2011407

Schmiedek, F., Lövdén, M., Ratcliff, R., & Lindenberger, U. (2023). Practice-related changes in perceptual evidence accumulation correlate with changes in working memory. Journal of Experimental Psychology: General, 152(3), 763–779. https://doi.org/10.1037/xge0001290

Schwarze, S. A., Laube, C., Khosravani, N., Lindenberger, U., Bunge, S. A., & Fandakova, Y. (2023). Does prefrontal connectivity during task switching help or hinder children’s performance? Developmental Cognitive Neuroscience, 60, Article 101217. https://doi.org/10.1016/j.dcn.2023.101217

Thomas, A. W., Lindenberger, U., Samek, W., & Müller, K.-R. (2023). Evaluating deep transfer learning for whole-brain cognitive decoding. Journal of the Franklin Institute, 360(13), 9754–9787. https://doi.org/10.1016/j.jfranklin.2023.07.015