Open Access Publications of the Institute

Journal Article (1586)

1. 2020
   MPG.PuRe

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   Arslan, R. C., Walther, M. P., & Tata, C. S. (2020). Formr: A study framework allowing for automated feedback generation and complex longitudinal experience-sampling studies using R. Behavior Research Methods, 52(1), 376–387. https://doi.org/10.3758/s13428-019-01236-y
2. MPG.PuRe

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   Awad, E., Dsouza, S., Shariff, A., Rahwan, I., & Bonnefon, J.-F. (2020). Universals and variations in moral decisions made in 42 countries by 70,000 participants. Proceedings of the National Academy of Sciences of the United States of America, 117(5), 2332–2337. https://doi.org/10.1073/pnas.1911517117
3. MPG.PuRe

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   Becker, M., Sommer, T., & Kühn, S. (2020). Verbal insight revisited: FMRI evidence for early processing in bilateral insulae for solutions with AHA! experience shortly after trial onset. Human Brain Mapping, 41(1), 30–45. https://doi.org/10.1002/hbm.24785
4. MPG.PuRe

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   Becker, M., Sommer, T., & Kühn, S. (2020). Inferior frontal gyrus involvement during search and solution in verbal creative problem solving: A parametric fMRI study. NeuroImage, 206(February), Article 116294. https://doi.org/10.1016/j.neuroimage.2019.116294
5. MPG.PuRe

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   Brandmaier, A. M., Ghisletta, P., & von Oertzen, T. (2020). Optimal planned missing data design for linear latent growth curve models. Behavior Research Methods. Advance online publication. https://doi.org/10.3758/s13428-019-01325-y
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   Butler, O., Herr, K., Willmund, G., Gallinat, J., Kühn, S., & Zimmermann, P. (in press). Trauma, treatment and Tetris: Video gaming increases hippocampal volume in combat-related post-traumatic stress disorder. Journal of Psychiatry and Neuroscience.
7. MPG.PuRe

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   Fandakova, Y., & Hartley, C. A. (2020). Mechanisms of learning and plasticity in childhood and adolescence. Developmental Cognitive Neuroscience, 42, Article 100764. https://doi.org/10.1016/j.dcn.2020.100764
8. MPG.PuRe

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   Filevich, E., Forlim, C. G., Fehrman, C., Forster, C., Paulus, M., Shing, Y. L., & Kühn, S. (2020). I know that I know nothing: Cortical thickness and functional connectivity underlying meta-ignorance ability in pre-schoolers. Developmental Cognitive Neuroscience, 41(February), Article 100738. https://doi.org/10.1016/j.dcn.2019.100738
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   Finc, K., Bonna, K., He, X., Lydon-Staley, D. M., Kühn, S., Duch, W., & Bassett, D. S. (in press). Dynamic reconfiguration of functional brain networks during working memory training. Nature Communications.
10. MPG.PuRe

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    Forlim, C. G., Klock, L., Bächle, J., Stoll, L., Giemsa, P., Fuchs, M., Schoofs, N., Montag, C., Gallinat, J., & Kühn, S. (2020). Reduced resting-state connectivity in the precuneus is correlated with apathy in patients with schizophrenia. Scientific Reports, 10, Article 2616. https://doi.org/10.1038/s41598-020-59393-6
11. MPG.PuRe

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    Grolig, L., Tiffin-Richards, S. P., & Schroeder, S. (2020). Print exposure across the reading life span. Reading and Writing. Advance online publication. https://doi.org/10.1007/s11145-019-10014-3
12. MPG.PuRe

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    Hautz, W. E., Hautz, S. C., & Kämmer, J. E. (2020). Whether two heads are better than one is the wrong question (though sometimes they are). Advances in Health Sciences Education. Advance online publication. https://doi.org/10.1007/s10459-020-09956-z
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    Karch, J. D., Brandmaier, A. M., & Voelkle, M. C. (in press). Gaussian Process Panel Modeling: Machine learning inspired analysis of longitudinal panel data. Frontiers in Psychology.
14. MPG.PuRe

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    Kosciessa, J. Q., Grandy, T. H., Garrett, D. D., & Werkle-Bergner, M. (2020). Single-trial characterization of neural rhythms: Potential and challenges. NeuroImage, 206, Article 116331. https://doi.org/10.1016/j.neuroimage.2019.116331
15. MPG.PuRe

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    Kühn, S., Mascherek, A., Banaschewski, T., Bokde, A. L. W., Büchel, C., Quinlan, E. B., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J.-L., Paillère Martinot, M.-L., Nees, F., Papadopoulos Orfanos, D., Paus, T., Poustka, L., Millenet, S., Fröhner, J. H., Smolka, M. N., Walter, H., Whelan, R., Schumann, G., Lindenberger, U., & Gallinat, J. (2020). Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents. Scientific Reports, 10, Article 1207. https://doi.org/10.1038/s41598-020-58128-x
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    Laube, C., van den Bos, W., & Fandakova, Y. (2020). The relationship between pubertal hormones and brain plasticity: Implications for cognitive training in adolescence. Developmental Cognitive Neuroscience, 42(April), Article 100753. https://doi.org/10.1016/j.dcn.2020.100753
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    Laube, C., Lorenz, R., & van den Bos, W. (2020). Pubertal testosterone correlates with adolescent impatience and dorsal striatal activity. Developmental Cognitive Neuroscience, 42(April), Article 100749. https://doi.org/10.1016/j.dcn.2019.100749
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    Lee, J. K., Fandakova, Y., Johnson, E. G., Cohen, N. J., Bunge, S. A., & Ghetti, S. (2020). Changes in anterior and posterior hippocampus differentially predict item-space, item-time, and item-item memory improvement. Developmental Cognitive Neuroscience, 41(February), Article 100741. https://doi.org/10.1016/j.dcn.2019.100741
19. MPG.PuRe

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    Leuker, C., Samartzidis, L., Hertwig, R., & Pleskac, T. J. (2020). When money talks: Judging risk and coercion in high-paying clinical trials. PLoS ONE, 15(1), Article e0227898. https://doi.org/10.1371/journal.pone.0227898
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    Luan, S., Schooler, L. J., & Tan, J. (2020). Improving judgment accuracy by sequential adjustment. Psychonomic Bulletin & Review, 27(1), 170–177. https://doi.org/10.3758/s13423-019-01696-5