2018

Adelhöfer, N., Gohil, K., Passow, S., Teufert, B., Roessner, V., Li, S.-C. & Beste, C. (2018). The system neurophysiological basis for how methylphenidate modulates perceptual-attentional conflicts during auditory processing. Human Brain Mapping, 39, 5050-5061. doi:10.1002/hbm.24344

Bensmann W, et al. (2018). Catecholaminergic modulation of conflict control depends on the source of conflicts. International Journal of Neuropsychopharmacology, 21(10), 901-909. doi:10.1093/ijnp/pyy063.

Bernardoni, F., Geisler, D., King, J.A., Javadi, A.H., Ritschel, F., Murr, J., Reiter, A.M.F., Rössner, V., Smolka, M.N., Kiebel, S., & Ehrlich S. (2018). Altered medial frontal feedback Learning signals in Anorexia Nervosa. Biological Psychiatry, 83(3), 235-243.  doi:10.1016/j.biopsych.2017.07.024

Bernardoni, F., King, J.A., Geisler, D., Birkenstock, J., Tam, F.I., Weidner, K., Roessner, V., White, T., & Ehrlich, S. (2018). Nutritional status affects cortical folding: Lessons learned from Anorexia Nervosa. Biological Psychiatry, 84(9), 692-701. doi:doi:10.1016/j.biopsych.2018.05.008

Beste, C., Adelhöfer, N., Gohil, K., Passow, S., Roessner, V., & Li, S.-C. (2018). Dopamine modulates the efficiency of sensory evidence accumulation during perceptual decision making. International Journal ofNeuropsychopharmacology, 21(7), 649-655. doi:10.1093/ijnp/pyy019

Beste, C., et al. (2019). How minimal variations in neuronal cytoskeletal integrity modulate cognitive control. Neuroimage, 185, 129-139. doi: 10.1016/j.neuroimage.2018.10.053.

Beste, C., et al. (2018). Striatal microstructure and its relevance for cognitive control. Trends in Cognitive Sciences, 22(9), 747-751. doi: 10.1016/j.tics.2018.06.007. 

Chmielewski WX, et al. (2018). Effects of multisensory stimuli on inhibitory control in adolescent ADHD: It is the content of information that matters. Neuroimage Clin 19:527-537. doi:10.1016/j.nicl.2018.05.019.

Chmielewski, W. X., et al. (2018). How high-dose alcohol intoxication affects the interplay of automatic and controlled processes. Addiction Biology. doi:10.1111/adb.12700

Chmielewski, W. X., et al. (2018). Response selection codes in neurophysiological data predict conjoint effects of controlled and automatic processes during response inhibition. Human Brain Mapping, 39,1839-1849. doi:10.1002/hbm.23974

Bodmer, B., et al. (2018). Neurophysiological variability masks differences in functional neuroanatomical networks and their effectiveness to modulate response inhibition between children and adults. Brain Structure and Function, 223,1797–1810. doi:10.1007/s00429-017-1589-6

Cuevas Rivera, D., Ott, F., Marković, D., Strobel, A., Kiebel, S. J. (2018). Context-dependent risk aversion: a model-based approach. Frontiers in Psychology, 9, 2053. doi:10.3389/fpsyg.2018.02053

Eppinger, B., Heekeren, H. R., & Li, S.-C. (2018). Age differences in the neural mechanisms of intertemporal choice under subjective decision conflict. Cerebral Cortex, 28(11), 3764-3774. doi:10.1093/cercor/bhx239

Frank, G.K.W., Favaro, A., Marsh, R., Ehrlich, S., & Lawson, E.A. (2018). Toward valid and reliable brain imaging results in eating disorders. International Journal of Eating Disorders, 51(3), 250-261. doi:10.1002/eat.22829

Friedrich, J. & Beste, C. (2018). Paradoxical, causal effects of sensory gain modulation on motor inhibitory control - a tDCS, EEG-source localization study. Scientific Reports, 8(1): 17486. doi: 10.1038/s41598-018-35879-2

Friedrich, J., et al. (2018). Specific properties of the SI and SII somatosensory areas and their effects on motor control: a system neurophysiological study. Brain Structure and Function, 223, 687–699.  doi:10.1007/s00429-017-1515-y

King, J.A., Frank, G.K.W., Thompson, P.M., & Ehrlich S. (2018). Structural neuroimaging of Anorexia Nervosa: Future directions in the quest for mechanisms underlying dynamic alterations. Biological Psychiatry, 83(3), 224-234. doi:10.1016/j.biopsych.2017.08.011

Kräplin, A., & Goudriaan, A. E. (2018). Characteristics and risk factors of gambling disorder as basis for responsible gambling strategies. Sucht, 64(5-6), 247-256. doi:10.1024/0939-5911/a000559

Kräplin, A., Scherbaum, S., Bühringer, G., Goschke, T., & Schmidt, A. (2018). Negative interpersonal scenes decrease inhibitory control in healthy individuals but not in gambling disorder patients. International Gambling Studies, 18(2), 178-194. doi:10.1080/14459795.2018.1448426

Krönke, K.-M., Wolff, M., Mohr, H., Kräplin, A., Smolka, M. N., Bühringer, G. & Goschke, T. (2018). Monitor yourself! Deficient error-related brain activity predicts real-life self-control failures. Cognitive, Affective, & Behavioral Neuroscience, 18(4),622-637.  doi:10.3758/s13415-018-0593-5

Lee Y, Kroemer NB, Oehme L, Beuthien-Baumann B, Goschke T, Smolka MN (2018). Lower dopamine tone in the striatum is associated with higher body mass index. European Neuropsychopharmacology, 28(6):719-731. doi:10.1016/j.euroneuro.2018.03.009

Miller, R., Schmidt, K., Kirschbaum, C. & Enge, S. (2018). Comparability, stability, and reliability of internet-based mental chronometry in domestic and laboratory settings. Behavior Research Methods, 50(4), 1345-1358. doi:10.3758/s13428-018-1036-5

Neukam P.T., Kroemer N.B., Deza Araujo Y.I., Hellrung L., Pooseh S., Rietschel M., Witt S.H., Schwarzenbolz U., Henle T., Smolka M.N. (2018). Risk-seeking for losses is associated with 5-HTTLPR, but not with transient changes in 5-HT levels. Psychopharmacology (Berl) Jul, 235(7), 2151-2165. https://doi.org/10.1007/s00213-018-4913-9

Petruo, V. A., et al. (2018). On the role of the prefrontal cortex in fatigue effects on cognitive flexibility - a system neurophysiological approach. Scientific Reports, 8, 6395. doi:10.1038/s41598-018-24834-w

Ritschel, F., Clas, S., Geisler, D., Haas, V., Seide, M., Steding, J., Roessner, V., Kirschbaum, C., & Ehrlich, S. (2018). Is hypercortisolism in anorexia nervosa detectable using hair samples? Journal of psychiatric research, 98, 87 -94. doi:10.1016/j.jpsychires.2017.11.010

Rodriguez-Buritica, J. M., Heekeren, H. R., Li, S.-C., & Eppinger, B. (2018). Developmental differences in the neural dynamics of observational learning. Neuropsychologia, 119, 12-23. doi:10.1016/j.neuropsychologia.2018.07.022

Scherbaum, S., Frisch, S., & Dshemuchadse, M. (2018). A bird in the hand isn’t good for long: Action dynamics reveal short-termed choice impulses in intertemporal choices. Experimental Psychology, 65(1),23-31. doi:10.1027/1618-3169/a000385

Scherbaum, S., Frisch, S., & Dshemuchadse, M. (2018). Step by step: Harvesting the dynamics of delay discounting decisions. Quarterly Journal of Experimental Psychology, 71(4), 949-964. doi:10.1080/17470218.2017.1307863

Scherbaum, S., Haber, P., Morley, K., Underhill, D., & Moustafa, A. A. (2018). Biased and less sensitive: A gamified approach to delay discounting in heroin addiction. Journal of Clinical and Experimental Neuropsychology, 40(2),139-150. doi:10.1080/13803395.2017.1324022

Scherbaum, S., & Kieslich, P. J. (2018). Stuck at the starting line: How the starting procedure influences mouse-tracking data. Behavioral Research Methods, 50(5), 2097-2110. doi:10.3758/s13428-017-0977-4

Schreiter, M. L., et al. (2018). How socioemotional setting modulates late-stage conflict resolution processes in the lateral prefrontal cortex. Cognitive, Affective, & Behavioral Neuroscience, 18, 521–535. doi: 10.3758/s13415-018-0585-5

Schreiter, M. L., et al. (2018). Neurophysiological processes and functional neuroanatomical structures underlying proactive effects of emotional conflicts. NeuroImage, 174, 11–21. doi: 10.1016/j.neuroimage.2018.03.017.

Schwöbel, S., Kiebel, S., & Marković, D. (2018). Active inference, belief propagation, and the Bethe approximation. Neural Computation, 30(9), 2530-2567. doi:10.1162/neco_a_01108

Seidel, M., King, J.A., Ritschel, F., Boehm, I., Geisler, D., Bernardoni, F., Holzapfel, L., Diestel, S., Diers, K., Strobel, A., Goschke, T., Walter, H., Roessner, V., & Ehrlich, S. (2018). The real-life costs of emotion regulation in anorexia nervosa: a combined ecological momentary assessment and fMRI study. Translational Psychiatry, 8(1), 28.  doi:10.1038/s41398-017-0004-7

Stock, A.-K., et al. (2018). On the effects of tyrosine supplementation on interference control in a randomized, double-blind placebo-control trial. European Neuropsychopharmacology, 28(8):933-944. doi:10.1016/j.euroneuro.2018.05.010

Stock, A.-K., et al. (2019). Methamphetamine-associated difficulties in cognitive control allocation may normalize after prolonged abstinence. Progress in Neuropsychopharmacology & Biological Psychiatry, 88, 41-52. doi:10.1016/j.pnpbp.2018.06.015

Strobel, A., Strobel, A., Enge, S. Fleischhauer, M., Reif, A., Lesch, K.-P. & Anacker, A. (2018). Intellectual investment, dopaminergic gene variation, and life events: A critical examination. Personality Neuroscience, 1, e3. doi:10.1017/pen.2018.2

Trautmann, S., Kräplin, A., Dieterich, R., Richter, J., & Muehlhan, M. (2018). The role of childhood trauma and stress reactivity for increased alcohol craving after induced psychological trauma: an experimental analogue study. Psychopharmacology. doi:10.1007/s00213-018-4979-4

Vahid, A., et al. (2018). Machine learning provides novel neurophysiological features that predict performance to inhibit automated responses. Scientific Reports, 8(1), 16235. doi:10.1038/s41598-018-34727-7

von Schwanenflug, N., Müller, D.K., King, J.A., Ritschel, F., Bernardoni, F., Mohammadi, S., Geisler, D., Roessner, V., Biemann, R., Marxen, M., & Ehrlich, S. (2018). Dynamic changes in white matter microstructure in anorexia nervosa: findings from a longitudinal study. Psychological Medicine, 1-10. doi:10.1017/S003329171800212X

van den Bos, W., Bruckner, R., Nassar, M. R., Mata, R., & Eppinger, B. (2018). Computational neuroscience across the lifespan: Promises and pitfals. Developmental Cognitive Neuroscience, 33, 42-53. doi:10.1016/j.dcn.2017.09.008

Wittkuhn, L., Eppinger, B., Bartsch, L., Thurm, F., Korb, F. M., & Li, S.-C. (2018). Repetitive transcranial magnetic stimulation over dorsolateral prefrontal cortex modulates value-based learning during sequential decision-making. Neuroimage, 167, 384-395. doi:10.1016/j.neuroimage.2017.11.05

Wolff N, et al. (2018). When repetitive mental sets increase cognitive flexibility in adolescent obsessive-compulsive disorder. Journal of Child Psychology and Psychiatry, 59(9),1024-1032. doi:10.1111/jcpp.12901

Zink, N., et al. (2018). On the neurophysiological mechanisms uderlying the adaptability to varying cognitive control demands. Frontiers in Human Neuroscience, 12, 411. doi:10.3389/fnhum.2018.00411

Zink N, et al. (2018). Detrimental effects of a high-dose alcohol intoxication on sequential cognitive flexibility are attenuated by practice. Progress in Neuropsychopharmacology & Biological Psychiatry, 89, 97-108. doi:10.1016/j.pnpbp.2018.08.034

Zink N, et al. (2018). Alcohol hangover increases conflict load via faster processing of subliminal information. Frontiers in Human Neuroscience, 12, 316. doi:10.3389/fnhum.2018.00316

Zink N, et al. (2018). Evidence for a neuronal dual-process account for adverse effects of cognitive control. Brain Structure and Function, 223(7), 3347-3363. doi:10.1007/s00429-018-1694-1.