Publications of Lorenz Deserno

Kaminski, J. A., Schlagenhauf, F., Rapp, M., Awasthi, S., Ruggeri, B., Deserno, L., … The IMAGEN Consortium. (2018). Epigenetic variance in dopamine D2 receptor: A marker of IQ malleability? Translational Psychiatry, 8. doi:10.1038/s41398-018-0222-7

Katthagen, T., Mathys, C., Deserno, L., Walter, H., Kathmann, N., Heinz, A., & Schlagenhauf, F. (2018). Modeling subjective relevance in schizophrenia and its relation to aberrant salience. PLoS Computational Biology, 14. doi:10.1371/journal.pcbi.1006319

Alavash, M., Lim, S.-J., Thiel, C., Sehm, B., Deserno, L., & Obleser, J. (2018). Dopaminergic modulation of hemodynamic signal variability and the functional connectome during cognitive performance. NeuroImage, 172, 341–356.

Nickchen, K., Boehme, R., del Mar Amador, M., Hälbig, T. D., Dehnicke, K., Panneck, P., … Priller, J. (2017). Reversal learning reveals cognitive deficits and altered prediction error encoding in the ventral striatum in Huntington’s disease. Brain Imaging and Behavior, 11, 1862–1872.

Heinzel, S., Lorenz, R. C., Duong, Q.-L., Rapp, M. A., & Deserno, L. (2017). Prefrontal-parietal effective connectivity during working memory in older adults. Neurobiology of Aging, 57, 18–27.

Deserno, L., Heinz, A., & Schlagenhauf, F. (2017). Computational approaches to schizophrenia: A perspective on negative symptoms. Schizophrenia Research, 186, 46–54.

Soch, J., Deserno, L., Assmann, A., Barmann, A., Walter, H., Richardson-Klavehn, A., & Schott, B. (2017). Inhibition of information flow to the default mode network during self-reference versus reference to others. Cerebral Cortex, 27, 3930–3942.

Reiter, A., Heinz, A., & Deserno, L. (2017). Linking social context and addiction neuroscience: A computational psychiatry approach. Nature Reviews Neuroscience, 18. doi:10.1038/nrn.2017.67

Heinz, A., Deserno, L., Zimmermann, U. S., Smolka, M. N., Beck, A., & Schlagenhauf, F. (2017). Targeted intervention: Computational approaches to elucidate and predict relapse in alcoholism. NeuroImage, 151, 33–44.

Mathar, D., Wilkinson, L., Holl, A., Neumann, J., Deserno, L., Villringer, A., … Horstmann, A. (2017). The role of dopamine in positive and negative prediction error utilization during incidental learning: Insights from Positron Emission Tomography, Parkinson’s disease and Huntington’s disease. Cortex, 90, 149–162.

Beylergil, S. B., Beck, A., Deserno, L., Lorenz, R. C., Rapp, M. A., Schlagenhauf, F., … Obermayer, K. (2017). Dorsolateral prefrontal cortex contributes to the impaired behavioral adaptation in alcohol dependence. NeuroImage: Clinical, 15, 80–94.

Reiter, A., Heinze, H.-J., Schlagenhauf, F., & Deserno, L. (2017). Impaired flexible reward-based decision-making in binge eating disorder: Evidence from computational modeling and functional neuroimaging. Neuropsychopharmacology, 42, 628–637.

Boehme, R., Lorenz, R., Gleich, T., Romund, L., Pelz, P., Golde, S., … Beck, A. (2017). Reversal learning strategy in adolescence is associated with prefrontal cortex activation. European Journal of Neuroscience, 45, 129–137.

Sjoerds, Z., Dietrich, A., Deserno, L., De Wit, S., Villringer, A., Heinze, H.-J., … Horstmann, A. (2016). Slips of action and sequential decisions: A cross-validation study of tasks assessing habitual and goal-directed action control. Frontiers in Behavioral Neuroscience, 10. doi:10.3389/fnbeh.2016.00234

Reiter, A., Deserno, L., Kallert, T., Heinze, H.-J., Heinz, A., & Schlagenhauf, F. (2016). Behavioral and neural signatures of reduced updating of alternative options in alcohol-dependent patients during flexible decision-making. The Journal of Neuroscience, 36, 10935–10948.

Huys, Q. J. M., Deserno, L., Obermayer, K., Schlagenhauf, F., & Heinz, A. (2016). Model-free temporal-difference learning and dopamine in alcohol dependence: Examining concepts from theory and animals in human imaging. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1, 401–410.

Raman, S., Deserno, L., Schlagenhauf, F., & Stephan, K. E. (2016). A hierarchical model for integrating unsupervised generative embedding and empirical Bayes. Journal of Neuroscience Methods, 269, 6–20.

Reiter, A., Koch, S., Schröger, E., Hinrichs, H., Heinze, H.-J., Deserno, L., & Schlagenhauf, F. (2016). The feedback-related negativity codes components of abstract inference during reward-based decision-making. Journal of Cognitive Neuroscience, 28, 1127–1138.

Reiter, A., Deserno, L., Wilbertz, T., Heinze, H.-J., & Schlagenhauf, F. (2016). Risk factors for addiction and their association with model-based behavioral control. Frontiers in Behavioral Neuroscience, 10. doi:10.3389/fnbeh.2016.00026

Deserno, L., Schlagenhauf, F., & Heinz, A. (2016). Striatal dopamine, reward, and decision making in schizophrenia. Dialogues in Clinical Neuroscience, 18, 77–89.