@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{ChenGarbusowSeboldetal.2022, author = {Chen, Ke and Garbusow, Maria and Sebold, Miriam and Zech, Hilmar G. and Zimmermann, Ulrich and Heinz, Andreas}, title = {Automatic approach behaviors in alcohol dependence: does a cognitive bias modification training affect Pavlovian-to-instrumental transfer effects?}, series = {Neuropsychobiology : official journal of the International Pharmaco-EEG Group (IPEG)}, volume = {81}, journal = {Neuropsychobiology : official journal of the International Pharmaco-EEG Group (IPEG)}, number = {5}, publisher = {Karger}, address = {Basel}, issn = {0302-282X}, doi = {10.1159/000526805}, pages = {387 -- 402}, year = {2022}, abstract = {Introduction: Positively conditioned Pavlovian cues tend to promote approach and negative cues promote withdrawal in a Pavlovian-to-instrumental transfer (PIT) paradigm, and the strength of this PIT effect was associated with the subsequent relapse risk in alcohol-dependent (AD) patients. When investigating the effect of alcohol-related background cues, instrumental approach behavior was inhibited in subsequent abstainers but not relapsers. An automatic approach bias towards alcohol can be modified using a cognitive bias modification (CBM) intervention, which has previously been shown to reduce the relapse risk in AD patients. Here we examined the effects of such CBM training on PIT effects and explored its effect on the relapse risk in detoxified AD patients. Methods: N = 81 recently detoxified AD patients performed non-drug-related and drug-related PIT tasks before and after CBM versus placebo training. In addition, an alcohol approach/avoidance task (aAAT) was performed before and after the training to assess the alcohol approach bias. Patients were followed up for 6 months. Results: A stronger alcohol approach bias as well as a stronger non-drug-related PIT effect predicted relapse status in AD patients. No significant difference regarding relapse status or the number of heavy drinking days was found when comparing the CBM training group versus the placebo group. Moreover, there was no significant modulation effect of CBM training on any PIT effect or the aAAT. Conclusion: A higher alcohol approach bias in the aAAT and a stronger non-drug-related PIT effect both predicted relapse in AD patients, while treatment outcome was not associated with the drug-related PIT effect. Unlike expected, CBM training did not significantly interact with the non-drug-related or the drug-related PIT effects or the alcohol approach bias.}, language = {en} } @article{KasalBesirogluZorluetal.2021, author = {Kasal, Meltem and Besiroglu, Lutfullah and Zorlu, Nabi and Dikmeer, Nur and Bilge, Aslihan and Durmaz, Ercan and Polat, Serap and Gelal, Fazil and Rapp, Michael A. and Heinz, Andreas and Sebold, Miriam}, title = {Fronto-striatal structures related with model-based control as an endophenotype for obsessive-compulsive disorder}, series = {Scientific reports}, volume = {11}, journal = {Scientific reports}, number = {1}, publisher = {Springer Nature}, address = {[London]}, issn = {2045-2322}, doi = {10.1038/s41598-021-91179-2}, pages = {10}, year = {2021}, abstract = {Recent theories suggest a shift from model-based goal-directed to model-free habitual decision-making in obsessive-compulsive disorder (OCD). However, it is yet unclear, whether this shift in the decision process is heritable. We investigated 32 patients with OCD, 27 unaffected siblings (SIBs) and 31 healthy controls (HCs) using the two-step task. We computed behavioral and reaction time analyses and fitted a computational model to assess the balance between model-based and model-free control. 80 subjects also underwent structural imaging. We observed a significant ordered effect for the shift towards model-free control in the direction OCD>SIB>HC in our computational parameter of interest. However less directed analyses revealed no shift towards model-free control in OCDs. Nonetheless, we found evidence for reduced model-based control in OCDs compared to HCs and SIBs via 2nd stage reaction time analyses. In this measure SIBs also showed higher levels of model-based control than HCs. Across all subjects these effects were associated with the surface area of the left medial/right dorsolateral prefrontal cortex. Moreover, correlations between bilateral putamen/right caudate volumes and these effects varied as a function of group: they were negative in SIBs and OCDs, but positive in HCs. Associations between fronto-striatal regions and model-based reaction time effects point to a potential endophenotype for OCD.}, language = {en} } @article{ChenHollunderGarbusowetal.2020, author = {Chen, Ke and Hollunder, Barbara and Garbusow, Maria and Sebold, Miriam and Heinz, Andreas}, title = {The physiological responses to acute stress in alcohol-dependent patients}, series = {European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology}, volume = {41}, journal = {European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0924-977X}, doi = {10.1016/j.euroneuro.2020.09.003}, pages = {1 -- 15}, year = {2020}, abstract = {Dysregulation of physiological stress reactivity plays a key role in the development and relapse risk of alcohol dependence. This article reviews studies investigating physiological responses to experimentally induced acute stress in patients with alcohol dependence. A systematic search from electronic databases resulted in 3641 articles found and after screening 62 articles were included in our review. Studies are analyzed based on stress types (i.e., social stress tasks and nonsocial stress tasks) and physiological markers (i.e., the nervous system, the endocrine system, somatic responses and the immune system). In studies applying nonsocial stress tasks, alcohol-dependent patients were reported to show a blunted stress response compared with healthy controls in the majority of studies applying markers of adrenocorticotropic hormone and cortisol. In studies applying social stress tasks, findings are inconsistent, with less than half of the studies reporting altered physiological stress responses in patients. We discuss the impact of duration of abstinence, comorbidities, baseline physiological arousal and intervention on the discrepancy of study findings. Furthermore, we review evidence for an associationbetween blunted physiological stress responses and the relapse risk among patients with alcohol dependence. (c) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)}, language = {en} } @article{GleichSpittaButleretal.2020, author = {Gleich, Tobias and Spitta, Gianna and Butler, Oisin and Zacharias, Kristin and Aydin, Semiha and Sebold, Miriam and Garbusow, Maria and Rapp, Michael A. and Schubert, Florian and Buchert, Ralph and Heinz, Andreas and Gallinat, J{\"u}rgen}, title = {Dopamine D2/3 receptor availability in alcohol use disorder and individuals at high risk}, series = {Addiction biology}, volume = {26}, journal = {Addiction biology}, number = {2}, publisher = {Wiley-Blackwell}, address = {Hoboken}, issn = {1369-1600}, doi = {10.1111/adb.12915}, pages = {10}, year = {2020}, abstract = {Alcohol use disorder (AUD) is the most common substance use disorder worldwide. Although dopamine-related findings were often observed in AUD, associated neurobiological mechanisms are still poorly understood. Therefore, in the present study, we investigate D2/3 receptor availability in healthy participants, participants at high risk (HR) to develop addiction (not diagnosed with AUD), and AUD patients in a detoxified stage, applying F-18-fallypride positron emission tomography (F-18-PET). Specifically, D2/3 receptor availability was investigated in (1) 19 low-risk (LR) controls, (2) 19 HR participants, and (3) 20 AUD patients after alcohol detoxification. Quality and severity of addiction were assessed with clinical questionnaires and (neuro)psychological tests. PET data were corrected for age of participants and smoking status. In the dorsal striatum, we observed significant reductions of D2/3 receptor availability in AUD patients compared with LR participants. Further, receptor availability in HR participants was observed to be intermediate between LR and AUD groups (linearly decreasing). Still, in direct comparison, no group difference was observed between LR and HR groups or between HR and AUD groups. Further, the score of the Alcohol Dependence Scale (ADS) was inversely correlated with D2/3 receptor availability in the combined sample. Thus, in line with a dimensional approach, striatal D2/3 receptor availability showed a linear decrease from LR participants to HR participants to AUD patients, which was paralleled by clinical measures. Our study shows that a core neurobiological feature in AUD seems to be detectable in an early, subclinical state, allowing more individualized alcohol prevention programs in the future.}, language = {en} } @article{SekutowiczGuggenmosKuitunenPauletal.2019, author = {Sekutowicz, Maria and Guggenmos, Matthias and Kuitunen-Paul, S{\"o}ren and Garbusow, Maria and Sebold, Miriam and Pelz, Patricia and Priller, Josef and Wittchen, Hans-Ulrich and Smolka, Michael N. and Zimmermann, Ulrich S. and Heinz, Andreas and Sterzer, Philipp and Schmack, Katharina}, title = {Neural Response Patterns During Pavlovian-to-Instrumental Transfer Predict Alcohol Relapse and Young Adult Drinking}, series = {Biological psychiatry : a journal of psychiatric neuroscience and therapeutics ; a publication of the Society of Biological Psychiatry}, volume = {86}, journal = {Biological psychiatry : a journal of psychiatric neuroscience and therapeutics ; a publication of the Society of Biological Psychiatry}, number = {11}, publisher = {Elsevier}, address = {New York}, issn = {0006-3223}, doi = {10.1016/j.biopsych.2019.06.028}, pages = {857 -- 863}, year = {2019}, abstract = {BACKGROUND: Pavlovian-to-instrumental transfer (PIT) describes the influence of conditioned stimuli on instrumental behaviors and is discussed as a key process underlying substance abuse. Here, we tested whether neural responses during alcohol-related PIT predict future relapse in alcohol-dependent patients and future drinking behavior in adolescents. METHODS: Recently detoxified alcohol-dependent patients (n = 52) and young adults without dependence (n = 136) underwent functional magnetic resonance imaging during an alcohol-related PIT paradigm, and their drinking behavior was assessed in a 12-month follow-up. To predict future drinking behavior from PIT activation patterns, we used a multivoxel classification scheme based on linear support vector machines. RESULTS: When training and testing the classification scheme in patients, PIT activation patterns predicted future relapse with 71.2\% accuracy. Feature selection revealed that classification was exclusively based on activation patterns in medial prefrontal cortex. To probe the generalizability of this functional magnetic resonance imaging-based prediction of future drinking behavior, we applied the support vector machine classifier that had been trained on patients to PIT functional magnetic resonance imaging data from adolescents. An analysis of cross-classification predictions revealed that those young social drinkers who were classified as abstainers showed a greater reduction in alcohol consumption at 12-month follow-up than those classified as relapsers (Delta = -24.4 +/- 6.0 g vs. -5.7 +/- 3.6 g; p = .019). CONCLUSIONS: These results suggest that neural responses during PIT could constitute a generalized prognostic marker for future drinking behavior in established alcohol use disorder and in at-risk states.}, language = {en} } @article{WyckmansOttoSeboldetal.2019, author = {Wyckmans, Florent and Otto, A. Ross and Sebold, Miriam and Daw, Nathaniel and Bechara, Antoine and Saeremans, M{\´e}lanie and Kornreich, Charles and Chatard, Armand and Jaafari, Nemat and No{\"e}l, Xavier}, title = {Reduced model-based decision-making in gambling disorder}, series = {Scientific reports}, volume = {9}, journal = {Scientific reports}, publisher = {Nature Publ. Group}, address = {London}, issn = {2045-2322}, doi = {10.1038/s41598-019-56161-z}, pages = {10}, year = {2019}, abstract = {Compulsive behaviors (e.g., addiction) can be viewed as an aberrant decision process where inflexible reactions automatically evoked by stimuli (habit) take control over decision making to the detriment of a more flexible (goal-oriented) behavioral learning system. These behaviors are thought to arise from learning algorithms known as "model-based" and "model-free" reinforcement learning. Gambling disorder, a form of addiction without the confound of neurotoxic effects of drugs, showed impaired goal-directed control but the way in which problem gamblers (PG) orchestrate model-based and model-free strategies has not been evaluated. Forty-nine PG and 33 healthy participants (CP) completed a two-step sequential choice task for which model-based and model-free learning have distinct and identifiable trial-by-trial learning signatures. The influence of common psychopathological comorbidities on those two forms of learning were investigated. PG showed impaired model-based learning, particularly after unrewarded outcomes. In addition, PG exhibited faster reaction times than CP following unrewarded decisions. Troubled mood, higher impulsivity (i.e., positive and negative urgency) and current and chronic stress reported via questionnaires did not account for those results. These findings demonstrate specific reinforcement learning and decision-making deficits in behavioral addiction that advances our understanding and may be important dimensions for designing effective interventions.}, language = {en} } @article{GarbusowNebeSommeretal.2019, author = {Garbusow, Maria and Nebe, Stephan and Sommer, Christian and Kuitunen-Paul, S{\"o}ren and Sebold, Miriam and Schad, Daniel and Friedel, Eva and Veer, Ilya M. and Wittchen, Hans-Ulrich and Rapp, Michael A. and Ripke, Stephan and Walter, Henrik and Huys, Quentin J. M. and Schlagenhauf, Florian and Smolka, Michael N. and Heinz, Andreas}, title = {Pavlovian-To-Instrumental Transfer and Alcohol Consumption in Young Male Social Drinkers}, series = {Journal of Clinical Medicine}, volume = {8}, journal = {Journal of Clinical Medicine}, number = {8}, publisher = {MDPI}, address = {Basel}, issn = {2077-0383}, doi = {10.3390/jcm8081188}, pages = {14}, year = {2019}, abstract = {In animals and humans, behavior can be influenced by irrelevant stimuli, a phenomenon called Pavlovian-to-instrumental transfer (PIT). In subjects with substance use disorder, PIT is even enhanced with functional activation in the nucleus accumbens (NAcc) and amygdala. While we observed enhanced behavioral and neural PIT effects in alcohol-dependent subjects, we here aimed to determine whether behavioral PIT is enhanced in young men with high-risk compared to low-risk drinking and subsequently related functional activation in an a-priori region of interest encompassing the NAcc and amygdala and related to polygenic risk for alcohol consumption. A representative sample of 18-year old men (n = 1937) was contacted: 445 were screened, 209 assessed: resulting in 191 valid behavioral, 139 imaging and 157 genetic datasets. None of the subjects fulfilled criteria for alcohol dependence according to the Diagnostic and Statistical Manual of Mental Disorders-IV-TextRevision (DSM-IV-TR). We measured how instrumental responding for rewards was influenced by background Pavlovian conditioned stimuli predicting action-independent rewards and losses. Behavioral PIT was enhanced in high-compared to low-risk drinkers (b = 0.09, SE = 0.03, z = 2.7, p < 0.009). Across all subjects, we observed PIT-related neural blood oxygen level-dependent (BOLD) signal in the right amygdala (t = 3.25, p(SVC) = 0.04, x = 26, y = -6, z = -12), but not in NAcc. The strength of the behavioral PIT effect was positively correlated with polygenic risk for alcohol consumption (r(s) = 0.17, p = 0.032). We conclude that behavioral PIT and polygenic risk for alcohol consumption might be a biomarker for a subclinical phenotype of risky alcohol consumption, even if no drug-related stimulus is present. The association between behavioral PIT effects and the amygdala might point to habitual processes related to out PIT task. In non-dependent young social drinkers, the amygdala rather than the NAcc is activated during PIT; possible different involvement in association with disease trajectory should be investigated in future studies.}, language = {en} } @article{SeboldSpittaGleichetal.2019, author = {Sebold, Miriam and Spitta, G. and Gleich, T. and Dembler-Stamm, T. and Butler, Oisin and Zacharias, Kristin and Aydin, S. and Garbusow, Maria and Rapp, Michael A. and Schubert, Florian and Buchert, Ralph and Gallinat, J{\"u}rgen and Heinz, Andreas}, title = {Stressful life events are associated with striatal dopamine receptor availability in alcohol dependence}, series = {Journal of neural transmission}, volume = {126}, journal = {Journal of neural transmission}, number = {9}, publisher = {Springer}, address = {Wien}, issn = {0300-9564}, doi = {10.1007/s00702-019-01985-2}, pages = {1127 -- 1134}, year = {2019}, abstract = {Stress plays a key role in modulating addictive behavior and can cause relapse following periods of abstinence. Common effects of stress and alcohol on the dopaminergic system have been suggested, although the precise mechanisms are unclear. Here, we investigated 20 detoxified alcohol-dependent patients and 19 matched healthy controls and assessed striatal D2/D3 availability using [F-18]-fallypride positron emission tomography and stressful life events. We found a strong association between striatal D2/D3 availability and stress in patients, but not in healthy controls. Interestingly, we found increased D2/D3 receptor availability in patients with higher stress levels. This mirrors complex interactions between stress and alcohol intake in animal studies and emphasizes the importance to investigate stress exposure in neurobiological studies of addiction.}, language = {en} } @article{SeboldGarbusowJetzschmannetal.2019, author = {Sebold, Miriam and Garbusow, Maria and Jetzschmann, P. and Schad, Daniel and Nebe, S. and Schlagenhauf, Florian and Heinz, Andreas and Rapp, Michael A. and Romanczuk-Seiferth, Nina}, title = {Reward and avoidance learning in the context of aversive environments and possible implications for depressive symptoms}, series = {Psychopharmacology}, volume = {236}, journal = {Psychopharmacology}, number = {8}, publisher = {Springer}, address = {New York}, issn = {0033-3158}, doi = {10.1007/s00213-019-05299-9}, pages = {2437 -- 2449}, year = {2019}, abstract = {Background Aversive stimuli in the environment influence human actions. This includes valence-dependent influences on action selection, e.g., increased avoidance but decreased approach behavior. However, it is yet unclear how aversive stimuli interact with complex learning and decision-making in the reward and avoidance domain. Moreover, the underlying computational mechanisms of these decision-making biases are unknown. Methods To elucidate these mechanisms, 54 healthy young male subjects performed a two-step sequential decision-making task, which allows to computationally model different aspects of learning, e.g., model-free, habitual, and model-based, goal-directed learning. We used a within-subject design, crossing task valence (reward vs. punishment learning) with emotional context (aversive vs. neutral background stimuli). We analyzed choice data, applied a computational model, and performed simulations. Results Whereas model-based learning was not affected, aversive stimuli interacted with model-free learning in a way that depended on task valence. Thus, aversive stimuli increased model-free avoidance learning but decreased model-free reward learning. The computational model confirmed this effect: the parameter lambda that indicates the influence of reward prediction errors on decision values was increased in the punishment condition but decreased in the reward condition when aversive stimuli were present. Further, by using the inferred computational parameters to simulate choice data, our effects were captured. Exploratory analyses revealed that the observed biases were associated with subclinical depressive symptoms. Conclusion Our data show that aversive environmental stimuli affect complex learning and decision-making, which depends on task valence. Further, we provide a model of the underlying computations of this affective modulation. Finally, our finding of increased decision-making biases in subjects reporting subclinical depressive symptoms matches recent reports of amplified Pavlovian influences on action selection in depression and suggests a potential vulnerability factor for mood disorders. We discuss our findings in the light of the involvement of the neuromodulators serotonin and dopamine.}, language = {en} }