@article{SeboldChenOenaletal.2022, author = {Sebold, Miriam and Chen, Hao and {\"O}nal, Aleyna and Kuitunen-Paul, S{\"o}ren and Mojtahedzadeh, Negin and Garbusow, Maria and Nebe, Stephan and Wittchen, Hans-Ulrich and Huys, Quentin J. M. and Schlagenhauf, Florian and Rapp, Michael A. and Smolka, Michael N. and Heinz, Andreas}, title = {Stronger prejudices are associated with decreased model-based control}, series = {Frontiers in psychology}, volume = {12}, journal = {Frontiers in psychology}, publisher = {Frontiers Research Foundation}, address = {Lausanne}, issn = {1664-1078}, doi = {10.3389/fpsyg.2021.767022}, pages = {10}, year = {2022}, abstract = {Background: Prejudices against minorities can be understood as habitually negative evaluations that are kept in spite of evidence to the contrary. Therefore, individuals with strong prejudices might be dominated by habitual or "automatic" reactions at the expense of more controlled reactions. Computational theories suggest individual differences in the balance between habitual/model-free and deliberative/model-based decision-making. Methods: 127 subjects performed the two Step task and completed the blatant and subtle prejudice scale. Results: By using analyses of choices and reaction times in combination with computational modeling, subjects with stronger blatant prejudices showed a shift away from model-based control. There was no association between these decision-making processes and subtle prejudices. Conclusion: These results support the idea that blatant prejudices toward minorities are related to a relative dominance of habitual decision-making. This finding has important implications for developing interventions that target to change prejudices across societies.}, language = {en} } @article{FoerstnerTschornReinosoSchilleretal.2022, author = {F{\"o}rstner, Bernd R. and Tschorn, Mira and Reinoso-Schiller, Nicolas and Maričić, Lea Mascarell and R{\"o}cher, Erik and Kalman, Janos L. and Stroth, Sanna and Mayer, Annalina V. and Schwarz, Kristina and Kaiser, Anna and Pfennig, Andrea and Manook, Andr{\´e} and Ising, Marcus and Heinig, Ingmar and Pittig, Andre and Heinz, Andreas and Mathiak, Klaus and Schulze, Thomas G. and Schneider, Frank and Kamp-Becker, Inge and Meyer-Lindenberg, Andreas and Padberg, Frank and Banaschewski, Tobias and Bauer, Michael and Rupprecht, Rainer and Wittchen, Hans-Ulrich and Rapp, Michael A.}, title = {Mapping research domain criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis}, series = {European archives of psychiatry and clinical neuroscience}, volume = {273}, journal = {European archives of psychiatry and clinical neuroscience}, number = {3}, publisher = {Springer Nature}, address = {Heidelberg}, issn = {0940-1334}, doi = {10.1007/s00406-022-01440-6}, pages = {527 -- 539}, year = {2022}, abstract = {This study aimed to build on the relationship of well-established self-report and behavioral assessments to the latent constructs positive (PVS) and negative valence systems (NVS), cognitive systems (CS), and social processes (SP) of the Research Domain Criteria (RDoC) framework in a large transnosological population which cuts across DSM/ICD-10 disorder criteria categories. One thousand four hundred and thirty one participants (42.1\% suffering from anxiety/fear-related, 18.2\% from depressive, 7.9\% from schizophrenia spectrum, 7.5\% from bipolar, 3.4\% from autism spectrum, 2.2\% from other disorders, 18.4\% healthy controls, and 0.2\% with no diagnosis specified) recruited in studies within the German research network for mental disorders for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) were examined with a Mini-RDoC-Assessment including behavioral and self-report measures. The respective data was analyzed with confirmatory factor analysis (CFA) to delineate the underlying latent RDoC-structure. A revised four-factor model reflecting the core domains positive and negative valence systems as well as cognitive systems and social processes showed a good fit across this sample and showed significantly better fit compared to a one factor solution. The connections between the domains PVS, NVS and SP could be substantiated, indicating a universal latent structure spanning across known nosological entities. This study is the first to give an impression on the latent structure and intercorrelations between four core Research Domain Criteria in a transnosological sample. We emphasize the possibility of using already existing and well validated self-report and behavioral measurements to capture aspects of the latent structure informed by the RDoC matrix.}, language = {en} } @article{ZechReichertEbnerPriemeretal.2022, author = {Zech, Hilmar G. and Reichert, Markus and Ebner-Priemer, Ulrich W. and Tost, Heike and Rapp, Michael A. and Heinz, Andreas and Dolan, Raymond J. and Smolka, Michael N. and Deserno, Lorenz}, title = {Mobile data collection of cognitive-behavioral tasks in substance use disorders: Where are we now?}, series = {Neuropsychobiology}, volume = {81}, journal = {Neuropsychobiology}, number = {5}, publisher = {Karger}, address = {Basel}, issn = {0302-282X}, doi = {10.1159/000523697}, pages = {438 -- 450}, year = {2022}, abstract = {Introduction: Over the last decades, our understanding of the cognitive, motivational, and neural processes involved in addictive behavior has increased enormously. A plethora of laboratory-based and cross-sectional studies has linked cognitive-behavioral measures to between-subject differences in drinking behavior. However, such laboratory-based studies inevitably suffer from small sample sizes and the inability to link temporal fluctuations in task measures to fluctuations in real-life substance use. To overcome these problems, several existing behavioral tasks have been transferred to smartphones to allow studying cognition in the field. Method: In this narrative review, we first summarize studies that used existing behavioral tasks in the laboratory and self-reports of substance use with ecological momentary assessment (EMA) in the field. Next, we review studies on psychometric properties of smartphone-based behavioral tasks. Finally, we review studies that used both smartphone-based tasks and self-reports with EMA in the field. Results: Overall, studies were scarce and heterogenous both in tasks and in study outcomes. Nevertheless, existing findings are promising and point toward several methodological recommendations: concerning psychometrics, studies show that - although more systematic studies are necessary - task validity and reliability can be improved, for example, by analyzing several measurement sessions at once rather than analyzing sessions separately. Studies that use tasks in the field, moreover, show that power can be improved by choosing sampling schemes that combine time-based with event-based sampling, rather than relying on time-based sampling alone. Increasing sampling frequency can further increase power. However, as this also increases the burden to participants, more research is necessary to determine the ideal sampling frequency for each task. Conclusion: Although more research is necessary to systematically study both the psychometrics of smartphone-based tasks and the frequency at which task measures fluctuate, existing studies are promising and reveal important methodological recommendations useful for researchers interested in implementing behavioral tasks in EMA studies.}, language = {en} } @article{DesernoBeckHuysetal.2015, author = {Deserno, Lorenz and Beck, Anne and Huys, Quentin J. M. and Lorenz, Robert C. and Buchert, Ralph and Buchholz, Hans-Georg and Plotkin, Michail and Kumakara, Yoshitaka and Cumming, Paul and Heinze, Hans-Jochen and Grace, Anthony A. and Rapp, Michael A. and Schlagenhauf, Florian and Heinz, Andreas}, title = {Chronic alcohol intake abolishes the relationship between dopamine synthesis capacity and learning signals in the ventral striatum}, series = {European journal of neuroscience}, volume = {41}, journal = {European journal of neuroscience}, number = {4}, publisher = {Wiley-Blackwell}, address = {Hoboken}, issn = {0953-816X}, doi = {10.1111/ejn.12802}, pages = {477 -- 486}, year = {2015}, abstract = {Drugs of abuse elicit dopamine release in the ventral striatum, possibly biasing dopamine-driven reinforcement learning towards drug-related reward at the expense of non-drug-related reward. Indeed, in alcohol-dependent patients, reactivity in dopaminergic target areas is shifted from non-drug-related stimuli towards drug-related stimuli. Such hijacked' dopamine signals may impair flexible learning from non-drug-related rewards, and thus promote craving for the drug of abuse. Here, we used functional magnetic resonance imaging to measure ventral striatal activation by reward prediction errors (RPEs) during a probabilistic reversal learning task in recently detoxified alcohol-dependent patients and healthy controls (N=27). All participants also underwent 6-[F-18]fluoro-DOPA positron emission tomography to assess ventral striatal dopamine synthesis capacity. Neither ventral striatal activation by RPEs nor striatal dopamine synthesis capacity differed between groups. However, ventral striatal coding of RPEs correlated inversely with craving in patients. Furthermore, we found a negative correlation between ventral striatal coding of RPEs and dopamine synthesis capacity in healthy controls, but not in alcohol-dependent patients. Moderator analyses showed that the magnitude of the association between dopamine synthesis capacity and RPE coding depended on the amount of chronic, habitual alcohol intake. Despite the relatively small sample size, a power analysis supports the reported results. Using a multimodal imaging approach, this study suggests that dopaminergic modulation of neural learning signals is disrupted in alcohol dependence in proportion to long-term alcohol intake of patients. Alcohol intake may perpetuate itself by interfering with dopaminergic modulation of neural learning signals in the ventral striatum, thus increasing craving for habitual drug intake.}, language = {en} } @article{HeinzelRiemerSchulteetal.2014, author = {Heinzel, Stephan and Riemer, Thomas G. and Schulte, Stefanie and Onken, Johanna and Heinz, Andreas and Rapp, Michael A.}, title = {Catechol-O-methyltransferase (COMT) genotype affects age-related changes in plasticity in working memory: a pilot study}, series = {BioMed research international}, journal = {BioMed research international}, publisher = {Hindawi Publishing Corp.}, address = {New York}, issn = {2314-6133}, doi = {10.1155/2014/414351}, pages = {7}, year = {2014}, abstract = {Objectives. Recent work suggests that a genetic variation associated with increased dopamine metabolism in the prefrontal cortex (catechol-O-methyltransferase Val158Met; COMT) amplifies age-related changes in working memory performance. Research on younger adults indicates that the influence of dopamine-related genetic polymorphisms on working memory performance increases when testing the cognitive limits through training. To date, this has not been studied in older adults. Method. Here we investigate the effect of COMT genotype on plasticity in working memory in a sample of 14 younger (aged 24-30 years) and 25 older (aged 60-75 years) healthy adults. Participants underwent adaptive training in the n-back working memory task over 12 sessions under increasing difficulty conditions. Results. Both younger and older adults exhibited sizeable behavioral plasticity through training (P < .001), which was larger in younger as compared to older adults (P < .001). Age-related differences were qualified by an interaction with COMT genotype (P < .001), and this interaction was due to decreased behavioral plasticity in older adults carrying the Val/Val genotype, while there was no effect of genotype in younger adults. Discussion. Our findings indicate that age-related changes in plasticity in working memory are critically affected by genetic variation in prefrontal dopamine metabolism.}, language = {en} } @article{LiuSchadKuschpeletal.2016, author = {Liu, Shuyan and Schad, Daniel and Kuschpel, Maxim S. and Rapp, Michael A. and Heinz, Andreas}, title = {Music and Video Gaming during Breaks}, series = {PLoS one}, volume = {11}, journal = {PLoS one}, number = {3}, publisher = {Public Library of Science}, address = {Lawrence, Kan.}, issn = {1932-6203}, doi = {10.1371/JOURNAL.PONE.0150165}, pages = {1 -- 12}, year = {2016}, abstract = {Different systems for habitual versus goal-directed control are thought to underlie human decision-making. Working memory is known to shape these decision-making systems and their interplay, and is known to support goal-directed decision making even under stress. Here, we investigated if and how decision systems are differentially influenced by breaks filled with diverse everyday life activities known to modulate working memory performance. We used a within-subject design where young adults listened to music and played a video game during breaks interleaved with trials of a sequential two-step Markov decision task, designed to assess habitual as well as goal-directed decision making. Based on a neurocomputational model of task performance, we observed that for individuals with a rather limited working memory capacity video gaming as compared to music reduced reliance on the goal-directed decision-making system, while a rather large working memory capacity prevented such a decline. Our findings suggest differential effects of everyday activities on key decision-making processes.}, language = {en} } @article{ZaytsevaKorsakovaGurovichetal.2014, author = {Zaytseva, Yuliya and Korsakova, Natalya and Gurovich, Isaac Ya and Heinz, Andreas and Rapp, Michael A.}, title = {Luria revisited: Complex motor phenomena in first episode schizophrenia and schizophrenia spectrum disorders}, series = {Psychiatry research : the official publication of the International Society for Neuroimaging in Psychiatry}, volume = {220}, journal = {Psychiatry research : the official publication of the International Society for Neuroimaging in Psychiatry}, number = {1-2}, publisher = {Elsevier}, address = {Clare}, issn = {0165-1781}, doi = {10.1016/j.psychres.2014.08.009}, pages = {145 -- 151}, year = {2014}, language = {en} } @article{BaltaBeylergilBeckDesernoetal.2017, author = {Balta Beylergil, Sinem and Beck, Anne and Deserno, Lorenz and Lorenz, Robert C. and Rapp, Michael A. and Schlagenhauf, Florian and Heinz, Andreas and Obermayer, Klaus}, title = {Dorsolateral prefrontal cortex contributes to the impaired behavioral adaptation in alcohol dependence}, series = {NeuroImage: Clinical : a journal of diseases affecting the nervous system}, volume = {15}, journal = {NeuroImage: Clinical : a journal of diseases affecting the nervous system}, publisher = {Elsevier}, address = {Oxford}, issn = {2213-1582}, doi = {10.1016/j.nicl.2017.04.010}, pages = {80 -- 94}, year = {2017}, abstract = {Substance-dependent individuals often lack the ability to adjust decisions flexibly in response to the changes in reward contingencies. Prediction errors (PEs) are thought to mediate flexible decision-making by updating the reward values associated with available actions. In this study, we explored whether the neurobiological correlates of PEs are altered in alcohol dependence. Behavioral, and functional magnetic resonance imaging (fMRI) data were simultaneously acquired from 34 abstinent alcohol-dependent patients (ADP) and 26 healthy controls (HC) during a probabilistic reward-guided decision-making task with dynamically changing reinforcement contingencies. A hierarchical Bayesian inference method was used to fit and compare learning models with different assumptions about the amount of task-related information subjects may have inferred during the experiment. Here, we observed that the best-fitting model was a modified Rescorla-Wagner type model, the "double-update" model, which assumes that subjects infer the knowledge that reward contingencies are anti-correlated, and integrate both actual and hypothetical outcomes into their decisions. Moreover, comparison of the best-fitting model's parameters showed that ADP were less sensitive to punishments compared to HC. Hence, decisions of ADP after punishments were loosely coupled with the expected reward values assigned to them. A correlation analysis between the model-generated PEs and the fMRI data revealed a reduced association between these PEs and the BOLD activity in the dorsolateral prefrontal cortex (DLPFC) of ADP. A hemispheric asymmetry was observed in the DLPFC when positive and negative PE signals were analyzed separately. The right DLPFC activity in ADP showed a reduced correlation with positive PEs. On the other hand, ADP, particularly the patients with high dependence severity, recruited the left DLPFC to a lesser extent than HC for processing negative PE signals. These results suggest that the DLPFC, which has been linked to adaptive control of action selection, may play an important role in cognitive inflexibility observed in alcohol dependence when reinforcement contingencies change. Particularly, the left DLPFC may contribute to this impaired behavioral adaptation, possibly by impeding the extinction of the actions that no longer lead to a reward.}, language = {en} } @misc{GruebnerRappAdlietal.2017, author = {Gruebner, Oliver and Rapp, Michael A. and Adli, Mazda and Kluge, Ulrike and Galea, Sandro and Heinz, Andreas}, title = {Cities and Mental Health}, series = {Deutsches {\"A}rzteblatt international : a weekly online journal of clinical medicine and public health}, volume = {114}, journal = {Deutsches {\"A}rzteblatt international : a weekly online journal of clinical medicine and public health}, number = {8}, publisher = {Dt. {\"A}rzte-Verl.}, address = {Cologne}, issn = {1866-0452}, doi = {10.3238/arztebl.2017.0121}, pages = {121 -- 127}, year = {2017}, abstract = {Background: More than half of the global population currently lives in cities, with an increasing trend for further urbanization. Living in cities is associated with increased population density, traffic noise and pollution, but also with better access to health care and other commodities. Methods: This review is based on a selective literature search, providing an overview of the risk factors for mental illness in urban centers. Results: Studies have shown that the risk for serious mental illness is generally higher in cities compared to rural areas. Epidemiological studies have associated growing up and living in cities with a considerably higher risk for schizophrenia. However, correlation is not causation and living in poverty can both contribute to and result from impairments associated with poor mental health. Social isolation and discrimination as well as poverty in the neighborhood contribute to the mental health burden while little is known about specific inter actions between such factors and the built environment. Conclusion: Further insights on the interaction between spatial heterogeneity of neighborhood resources and socio-ecological factors is warranted and requires interdisciplinary research.}, language = {en} } @article{GarbusowSchadSommeretal.2014, author = {Garbusow, Maria and Schad, Daniel and Sommer, Christian and Juenger, Elisabeth and Sebold, Miriam and Friedel, Eva and Wendt, Jean and Kathmann, Norbert and Schlagenhauf, Florian and Zimmermann, Ulrich S. and Heinz, Andreas and Huys, Quentin J. M. and Rapp, Michael A.}, title = {Pavlovian-to-instrumental transfer in alcohol dependence: a pilot study}, series = {Neuropsychobiology : international journal of experimental and clinical research in biological psychiatry, pharmacopsychiatry, Biological Psychology/Pharmacopsychology and Pharmacoelectroencephalography}, volume = {70}, journal = {Neuropsychobiology : international journal of experimental and clinical research in biological psychiatry, pharmacopsychiatry, Biological Psychology/Pharmacopsychology and Pharmacoelectroencephalography}, number = {2}, publisher = {Karger}, address = {Basel}, issn = {0302-282X}, doi = {10.1159/000363507}, pages = {111 -- 121}, year = {2014}, abstract = {Background: Pavlovian processes are thought to play an important role in the development, maintenance and relapse of alcohol dependence, possibly by influencing and usurping ongoing thought and behavior. The influence of pavlovian stimuli on ongoing behavior is paradigmatically measured by pavlovian-to-instrumental transfer (PIT) tasks. These involve multiple stages and are complex. Whether increased PIT is involved in human alcohol dependence is uncertain. We therefore aimed to establish and validate a modified PIT paradigm that would be robust, consistent and tolerated by healthy controls as well as by patients suffering from alcohol dependence, and to explore whether alcohol dependence is associated with enhanced PIT. Methods: Thirty-two recently detoxified alcohol-dependent patients and 32 age- and gender-matched healthy controls performed a PIT task with instrumental go/no-go approach behaviors. The task involved both pavlovian stimuli associated with monetary rewards and losses, and images of drinks. Results: Both patients and healthy controls showed a robust and temporally stable PIT effect. Strengths of PIT effects to drug-related and monetary conditioned stimuli were highly correlated. Patients more frequently showed a PIT effect, and the effect was stronger in response to aversively conditioned CSs (conditioned suppression), but there was no group difference in response to appetitive CSs. Conclusion: The implementation of PIT has favorably robust properties in chronic alcohol-dependent patients and in healthy controls. It shows internal consistency between monetary and drug-related cues. The findings support an association of alcohol dependence with an increased propensity towards PIT.}, language = {en} }