Publications of Yana Fandakova

Fandakova, Y., Shing, Y. L., & Lindenberger, U. (2013). Differences in binding and monitoring mechanisms contribute to lifespan age differences in false memory. Developmental Psychology, 49(10), 1822–1832. https://doi.org/10.1037/a0031361

Fandakova, Y., Shing, Y. L., & Lindenberger, U. (2012). Heterogeneity in memory training improvement among older adults: A latent class analysis. Memory, 20(6), 554–567. https://doi.org/10.1080/09658211.2012.687051

Burgmans, S., Gronenschild, E. H. B. M., Fandakova, Y., Shing, Y. L., Van Boxtel, M. P. J., Vuurman, E. F. P. M., Uylings, H. B. M., Jolles, J., & Raz, N. (2011). Age differences in speed of processing are partially mediated by differences in axonal integrity. NeuroImage, 55(3), 1287–1297. https://doi.org/10.1016/j.neuroimage.2011.01.002

Shing, Y. L., Rodrigue, K. M., Kennedy, K. M., Fandakova, Y., Bodammer, N., Werkle-Bergner, M., Lindenberger, U., & Raz, N. (2011). Hippocampal subfield volumes: Age, vascular risk, and correlation with associative memory. Frontiers in Aging Neuroscience, 3, Article 2. https://doi.org/10.3389/fnagi.2011.00002

Wenger, E., Fandakova, Y., & Shing, Y. L. (2021). Episodic memory training. In T. Strobach & J. Karbach (Eds.), Cognitive training: An overview of features and applications (2nd ed., pp. 169–184). Springer. https://doi.org/10.1007/978-3-030-39292-5_12

Fandakova, Y., Lindenberger, U., & Shing, Y. L. (2015). Episodic memory across the lifespan: General trajectories and modifiers. In D. R. Addis, M. Barense, & A. Duarte (Eds.), The Wiley handbook on the cognitive neuroscience of memory (pp. 309–325). Wiley-Blackwell.

Riccius, L. J. A. (2018). The effects of curiosity and information prediction error on memory in children and adolescents [Master's Thesis, Universität Potsdam].

Pamungkas, R. A. K. (2019). Age differences in default-mode network deactivation during memory retrieval [Bachelor Thesis, Freie Universität Berlin].

Hartley, C. A., Fandakova, Y., Bunge, S. A., Crone, E., & Lindenberger, U. (Eds.). (2020). Special Issue on Flux 2018: Mechanisms of learning & plasticity [Special issue]. Developmental Cognitive Neuroscience, 42.

Abreu-Mendoza, R. A., Zarabozo-Hurtado, D., Chamorro, Y., Vazquez, P., Matute, E., & Fandakova, Y. (2020). The neural correlates of the core number systems contribute to mathematical ability in adolescence. PsyArXiv, May 27, 2020. https://doi.org/10.31234/osf.io/96tuy