2019

Adelhöfer, N., Mückschel, M., Teufert, B., Ziemssen, T., & Beste, C. (2019). Anodal tDCS affects neuromodulatory effects of the norepinephrine system on superior frontal theta activity during response inhibition. Brain Structure and Function. doi: 10.1007/s00429-019-01839-3

Baeuchl, C., Chen, H.-Y., Su, Y.-S., Hämmerer, D., Klados, M., & Li, S.-C. (2019). Interactive effects of dopamine transporter genotype and aging on resting-state functional networks. PLOS ONE, 4(5): e0215849. doi:10.1371/journal.pone.0215849

Bensmann, W., et al. (2019). Young frequent binge drinkers show no behavioral deficits in inhibitory control and cognitive flexibility. Progress in Neuropsychopharmacolology & Biological Psychiatry,93, 93-101. doi:10.1016/j.pnpbp.2019.03.019.

Bensmann, W., et al. (2019). Neuronal networks underlying the conjoint modulation of response selection by subliminal and consciously induced cognitive conflicts. Brain Structure and Function.doi:10.1007/s00429-019-01866-0.

Bensmann, W., et al. (2019). The intensity of early attentional Processing, but not conflict monitoring, determines the sze of subliminal response conflicts. Frontiers in Human Neuroscience,13, 53. doi:10.3389/fnhum.2019.00053

Bensmann, W., et al. (2019). Catecholaminergic effects on inhibitory control depend on the interplay of prior task experience and working memory demands. Journal of Psychopharmacology. doi:10.1177/0269881119827815

Chmielewski, W. X. & Beste, C. (2019). Neurophysiological mechanisms underlying the modulation of cognitive control by simultaneous conflicts. Cortex, 115, 216-230. doi: 10.1016/j.cortex.2019.02.006

Daniels, J. K., Schulz, A., Schellong, J., Han, P., Rottstädt, F., Diers, K., Weidner, K., Croy, I. (2019). Gray Matter Alterations Associated With Dissociation in Female Survivors of Childhood Trauma. Frontiers in Psychology, 10. doi.org/10.3389/fpsyg.2019.00738

Deza-Araujo Y.I., Neukam P.T., Marxen M., Müller D.K., Henle T. & Smolka M.N. (2019). Acute tryptophan loading decreases functional connectivity between the default mode network and emotion-related brain regions. Human Brain Mapping, 40(6),1844-55. https://doi.org/10.1002/hbm.24494

Gärtner, A., Dörfel, D., Diers, K., Witt, S. H., Strobel, A., Brocke, B. (2019). Impact of FAAH genetic variation on fronto-amygdala function during emotional processing. European Archives of Psychiatry and Clinical Neuroscience, 269(2),209–221. doi:10.1007/s00406-018-0944-9

Geisler, D., Borchardt, V., Boehm, I., Kind, J. A., Tam, F. I., Marxen, M., Biemann, R., Roessner, V., Walter, M., & Ehrlich, S. (2019). Altered global brain network topology as trait marker in patients with anorexia nervosa. Psychological Medicine. doi:10.1017/S0033291718004002  

Giller, F., et al. (2019). The neurophysiological basis of developmental changes during sequential cognitive flexibility between adolescents and adults. Human Brain Mapping, 40(2), 552-565. doi: 10.1002/hbm.24394

Grass, J., Krieger, F., Paulus, P., Greiff, S., Strobel, A. & Strobel, A. (2019). Thinking in action: Need for Cognition predicts Self-Control together with Action Orientation. PLoS One, 14(8), e0220282. doi:10.1371/journal.pone.0220282  

Kräplin, A., Scherbaum, S., Bühringer, G., & Goschke, T. (2019). Decision-making and inhibitory control after smoking-related priming in nicotine dependent smokers and never-smokers. Addictive Behaviors, 88, 114-121. doi:10.1016/j.addbeh.2018.08.020

Kroemer, N. B., Lee, Y., Pooseh, S., Schad, D. J., Eppinger, B., Goschke, T., & Smolka, M. N. (2019). L-DOPA reduces model-free control of behavior by attenuating the transfer of value to action. Neuroimage, 186, 113-125. doi:10.1016/j.neuroimage.2018.10.075

Marković, D., Reiter, A. M. F., & Kiebel, S. J. (2019). Predicting change: Approximate inference under explicit representation of temporal structure in changing environments. PLoS Computational Biology, 15(1), e1006707. doi:10.1371/journal.pcbi.1006707

Neukam, P.T., Deza-Araujo Y.I., Marxen M., Pooseh S., Rietschel M., Schwarzenbolz U., Smolka M.N. (2019). No evidence for the involvement of serotonin or the 5-HTTLPR genotype in intertemporal choice in a larger community sample. Journal of Psychopharmacology, 1-11. https://doi.org/10.1177/0269881119874417

Parr, T., Marković, D., Kiebel, S. J., & Friston, K. L. (2019). Neuronal message passing using Mean-field, Bethe, and Marginal approximations. Scientific Reports, 9(1), 1889. doi:10.1038/s41598-018-38246-3

Petzold, J., Kienast, A., Lee, Y., Pooseh, S., London, E. D., Goschke, T., & Smolka, M. N. (2019). Baseline impulsivity may moderate L-DOPA effects on value-based decision-making. Scientific Reports, 9(1): 5652. doi:10.1038/s41598-019-42124-x

Reiter, A. M. F., Suzuki, S., O'Doherty, J. P., Li, S.-C., & Eppinger, B. (in press). Risk contagion by peers affects learning and decision-making in adolescents. Journal of Experimental Psychology: General. doi:10.1037/xge0000512

Schoemann, M., Lüken, M., Grage, T., Kieslich, P. J., & Scherbaum, S. (in press). Validating mouse-tracking: How design factors influence action dynamics in intertemporal decision making. Behavior Research Methods. doi:10.3758/s13428-018-1179-4

Weckesser, L. J., Dietz, F., Schmidt, K., Grass, J., Kirschbaum, C., & Miller, R. (2019). The psychometric properties and temporal dynamics of subjective stress, retrospectively assessed by different informants and questionnaires, and hair cortisol concentrations. Scientific Reports, 9(1).doi:10.1038/s41598-018-37526-2

Zink, N., et al. (2019). CHRM2 Genotype affects inhibitory control mechanisms during cognitive flexibility. Molecular Neurobiology. doi: 10.1007/s12035-019-1521-6

Zink, N., et al. (2019). Apolipoprotein ε4 is associated with better cognitive control allocation in healthy young adults. Neuroimage, 185, 274-285. doi: 10.1016/j.neuroimage.2018.10.046.