Keller, N., & Jenny, M. A. (2020). How to determine when SARS-CoV-2 antibody testing is or is not useful for population screening: A tutorial. Medical Decision Making Policy & Practice, 5(2), Article 2381468320963068. https://doi.org/10.1177/2381468320963068

Kenett, Y. N., Beckage, N. M., Siew, C. S. Q., & Wulff, D. U. (2020). Cognitive network science: A new frontier [Editorial]. Complexity, 2020, Article 6870278. https://doi.org/10.1155/2020/6870278

Keresztes, A., Raffington, L., Bender, A. R., Bögl, K., Heim, C., & Shing, Y. L. (2020). Hair cortisol concentrations are associated with hippocampal subregional volumes in children. Scientific Reports, 10, Article 4865. https://doi.org/10.1038/s41598-020-61131-x

Kloosterman, N. A., Kosciessa, J. Q., Lindenberger, U., Fahrenfort, J. J., & Garrett, D. D. (2020). Boosts in brain signal variability track liberal shifts in decision bias. eLife, (9), Article e54201. https://doi.org/10.7554/eLife.54201

Knudsen, G. M., Ganz, M., Appelhoff, S., Boellaard, R., Bormans, G., Carson, R. E., Catana, C., Doudet, D., Gee, A. D., Greve, D. N., Gunn, R. N., Halldin, C., Herscovitch, P., Huang, H., Keller, S. H., Lammertsma, A. A., Lanzenberger, R., Liow, J.-S., Lohith, T. G., Lubberink, M., Lyoo, C. H., Mann, J. J., Matheson, G. J., Nichols, T. E., Nørgaard, M., Ogden, T., Parsey, R., Pike, V. W., Price, J., Rizzo, G., Rosa-Neto, P., Schain, M., Scott, P. J. H., Searle, G., Slifstein, M., Suhara, T., Talbot, P. S., Thomas, A., Veronese, M., Wong, D. F., Yaqub, M., Zanderigo, F., Zoghbi, S., & Innis, R. B. (2020). Guidelines for the content and format of PET brain data in publications and archives: A consensus paper. Journal of Cerebral Blood Flow & Metabolism, 40(8), 1576–1585. https://doi.org/10.1177/0271678X20905433

Koch, C., Li, S.-C., Polk, T. A., & Schuck, N. W. (2020). Effects of aging on encoding of walking direction in the human brain. Neuropsychologia, 141, Article 107379. https://doi.org/10.1016/j.neuropsychologia.2020.107379

Koenig, L., Wimmer, M. C., & Trippas, D. (2020). Item repetition and response deadline affect familiarity and recollection differently across childhood. Memory, 28(7), 900–907. https://doi.org/10.1080/09658211.2020.1790612

Konovalova, E., & Le Mens, G. (2020). An information sampling explanation for the in-group heterogeneity effect. Psychological Review, 127(1), 47–73. https://doi.org/10.1037/rev0000160

Koomen, R., Grueneisen, S., & Herrmann, E. (2020). Children delay gratification for cooperative ends. Psychological Science, 31(2), 139–148. https://doi.org/10.1177/0956797619894205

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

Kosciessa, J. Q., Kloosterman, N. A., & Garrett, D. D. (2020). Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What’s signal irregularity got to do with it? PLoS Computational Biology, 16(5), Article e1007885. https://doi.org/10.1371/journal.pcbi.1007885

Koselleck, R., Pernau, M., & Tremblay, S. (2020). Fiery streams of lava, frozen into memory: Many farewells to war. Memories that are not interchangeable [translated by Margrit Pernau and Sébastien Tremblay]. Contributions to the History of Concepts, 15(2), 1–6. https://doi.org/10.3167/choc.2020.150201

Köymen, B., O'Madagain, C., Domberg, A., & Tomasello, M. (2020). Young children's ability to produce valid and relevant counter-arguments. Child Development, 91(3), 685–693. https://doi.org/10.1111/cdev.13338

Kozik, P., Drewelies, J., Düzel, S., Demuth, I., Steinhagen-Thiessen, E., Gerstorf, D., & Hoppmann, C. A. (2020). Future time perspective: Dimensions of opportunities, life, and time are differentially associated with physical health, cognitive functioning, and well-being in old age. Aging & Mental Health, 24(9), 1487–1495. https://doi.org/10.1080/13607863.2019.1594159

Kozyreva, A., Lewandowsky, S., & Hertwig, R. (2020). Citizens versus the internet: Confronting digital challenges with cognitive tools. Psychological Science in the Public Interest, 21(3), 103–156. https://doi.org/10.1177/1529100620946707

Kraepelien, M., Schibbye, R., Månsson, K., Sundström, C., Riggareg, S., Andersson, G., Lindefors, N., Svenningsson, P., & Kaldoa, V. (2020). Individually tailored internet-based cognitive-behavioral therapy for daily functioning in patients with Parkinson’s disease: A randomized controlled trial. Journal of Parkinson's Disease, 10(2), 653–664. https://doi.org/10.3233/JPD-191894

Krockow, E. M., Kurvers, R. H. J. M., Herzog, S. M., Kämmer, J. E., Hamilton, R. A., Thilly, N., Macheda, G., & Pulcini, C. (2020). Harnessing the wisdom of crowds can improve guideline compliance of antibiotic prescribers and support antimicrobial stewardship. Scientific Reports, 10, Article 18782. https://doi.org/10.1038/s41598-020-75063-z

Kühn, S., Banaschewski, T., Bokde, A. L. W., Büchel, C., Quinlan, E. B., Desrivières, S., Flor, H., Grigits, 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., Meyer-Lindenberg, A., & Gallinat, J. (2020). Brain structure and habitat: Do the brains of our children tell us where they have been brought up? NeuroImage, 222, Article 117225. https://doi.org/10.1016/j.neuroimage.2020.117225

Kühn, S., Lisofsky, N., Banaschewski, T., Barker, G., Bokde, A. L. W., Bromberg, U., Büchel, C., Brühl, R., 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., Fröhner, J. H., Smolka, M. N., Walter, H., Whelan, R., Schumann, G., & Gallinat, J. (2020). Hierarchical associations of alcohol use disorder symptoms in late adolescence with markers during early adolescence. Addictive Behaviors, 100, Article 106130. https://doi.org/10.1016/j.addbeh.2019.106130

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(1), Article 1207. https://doi.org/10.1038/s41598-020-58128-x