Publikationen von Simone Kühn

Kühn, S., Gallinat, J., & Mascherek, A. (2019). Effects of computer gaming on cognition, brain structure, and function: A critical reflection on existing literature. Dialogues in Clinical Neuroscience, 21(3), 319–330. https://doi.org/10.31887/DCNS.2019.21.3/skuehn

Kühn, S., Kugler, D. T., Schmalen, K., Weichenberger, M., Witt, C., & Gallinat, J. (2019). Does playing violent video games cause aggression? A longitudinal intervention study. Molecular Psychiatry, 24, 1220–1234. https://doi.org/10.1038/s41380-018-0031-7

Kühn, S., Mascharek, A., Banaschewski, T., Bodke, A., Bromberg, U., Büchel, C., Quinlan, E. B., Desrivieres, S., Flor, H., Grigis, A., Garavan, H., Gowland, P. A., Heinz, A., Ittermann, B., Martinot, J.-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., & IMAGEN Consortium. (2019). Predicting development of adolescent drinking behaviour from whole brain structure at 14 years of age. eLife, 8, Article e44056. https://doi.org/10.7554/eLife.44056

Lisofsky, N., Gallinat, J., Lindenberger, U., & Kühn, S. (2019). Postpartal neural plasticity of the maternal brain: Early renormalization of pregnancy-related decreases? Neurosignals, 27, 12–24. https://doi.org/10.33594/000000105

Moritz, S., Göritz, A. S., Schmotz, S., Weierstall-Pust, R., Gehlenborg, J., Gallinat, J., & Kühn, S. (2019). Imaginal retraining decreases craving for high-calorie food in overweight and obese women: A randomized controlled trial. Translational Psychiatry, 9, Article 319. https://doi.org/10.1038/s41398-019-0655-7

Stahn, A. C., Gunga, H.-C., Kohlberg, E., Gallinat, J., Dinges, D. F., & Kühn, S. (2019). Brain changes in response to long-duration Antarctic expeditions. The New England Journal of Medicine, 381(23), 2273–2275. https://doi.org/10.1056/NEJMc1904905

Almgren, H., Steen, F. van de, Kühn, S., Razi, A., Friston, K., & Marinazzo, D. (2018). Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study. NeuroImage, 183, 757–768. https://doi.org/10.1016/j.neuroimage.2018.08.053

Bender, A. R., Keresztes, A., Bodammer, N. C., Shing, Y. L., Werkle-Bergner, M., Daugherty, A. M., Yu, Q., Kühn, S., Lindenberger, U., & Raz, N. (2018). Optimization and validation of automated hippocampal subfield segmentation across the lifespan. Human Brain Mapping, 39(2), 916–931. https://doi.org/10.1002/hbm.23891

Bossier, H., Seurinck, R., Kühn, S., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Martinot, J.-L., Lemaitre, H., Paus, T., Millenet, S., & Moerkerke, B. (2018). The influence of study-level inference models and study set size on coordinate-based fMRI meta-analyses. Frontiers in Neuroscience, 11, Article 745. https://doi.org/10.3389/fnins.2017.00745

Brandmaier, A. M., Wenger, E., Bodammer, N. C., Kühn, S., Raz, N., & Lindenberger, U. (2018). Assessing reliability in neuroimaging research through intra-class effect decomposition (ICED). eLife, 7, Article e35718. https://doi.org/10.7554/eLife.35718