TY - GEN A1 - Friedel, Eva A1 - Schlagenhauf, Florian A1 - Beck, Anne A1 - Dolan, Raymond J. A1 - Huys, Quentin J. M. A1 - Rapp, Michael A. A1 - Heinz, Andreas T1 - The effects of life stress and neural learning signals on fluid intelligence T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe N2 - Fluid intelligence (fluid IQ), defined as the capacity for rapid problem solving and behavioral adaptation, is known to be modulated by learning and experience. Both stressful life events (SLES) and neural correlates of learning [specifically, a key mediator of adaptive learning in the brain, namely the ventral striatal representation of prediction errors (PE)] have been shown to be associated with individual differences in fluid IQ. Here, we examine the interaction between adaptive learning signals (using a well-characterized probabilistic reversal learning task in combination with fMRI) and SLES on fluid IQ measures. We find that the correlation between ventral striatal BOLD PE and fluid IQ, which we have previously reported, is quantitatively modulated by the amount of reported SLES. Thus, after experiencing adversity, basic neuronal learning signatures appear to align more closely with a general measure of flexible learning (fluid IQ), a finding complementing studies on the effects of acute stress on learning. The results suggest that an understanding of the neurobiological correlates of trait variables like fluid IQ needs to take socioemotional influences such as chronic stress into account. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 621 KW - reinforcement learning KW - prediction error signal KW - ventral striatum KW - stress KW - intelligence Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-435140 SN - 1866-8372 IS - 621 SP - 35 EP - 43 ER - TY - JOUR A1 - Friedel, Eva A1 - Schlagenhauf, Florian A1 - Beck, Anne A1 - Dolan, Raymond J. A1 - Huys, Quentin J. M. A1 - Rapp, Michael A. A1 - Heinz, Andreas T1 - The effects of life stress and neural learning signals on fluid intelligence JF - European archives of psychiatry and clinical neuroscience : official organ of the German Society for Biological Psychiatry N2 - Fluid intelligence (fluid IQ), defined as the capacity for rapid problem solving and behavioral adaptation, is known to be modulated by learning and experience. Both stressful life events (SLES) and neural correlates of learning [specifically, a key mediator of adaptive learning in the brain, namely the ventral striatal representation of prediction errors (PE)] have been shown to be associated with individual differences in fluid IQ. Here, we examine the interaction between adaptive learning signals (using a well-characterized probabilistic reversal learning task in combination with fMRI) and SLES on fluid IQ measures. We find that the correlation between ventral striatal BOLD PE and fluid IQ, which we have previously reported, is quantitatively modulated by the amount of reported SLES. Thus, after experiencing adversity, basic neuronal learning signatures appear to align more closely with a general measure of flexible learning (fluid IQ), a finding complementing studies on the effects of acute stress on learning. The results suggest that an understanding of the neurobiological correlates of trait variables like fluid IQ needs to take socioemotional influences such as chronic stress into account. KW - Reinforcement learning KW - Prediction error signal KW - Ventral striatum KW - Stress KW - Intelligence Y1 - 2015 U6 - https://doi.org/10.1007/s00406-014-0519-3 SN - 0940-1334 SN - 1433-8491 VL - 265 IS - 1 SP - 35 EP - 43 PB - Springer CY - Heidelberg ER - TY - GEN A1 - Hägele, Claudia A1 - Schlagenhauf, Florian A1 - Rapp, Michael A. A1 - Sterzer, Philipp A1 - Beck, Anne A1 - Bermpohl, Felix A1 - Stoy, Meline A1 - Ströhle, Andreas A1 - Wittchen, Hans-Ulrich A1 - Dolan, Raymond J. A1 - Heinz, Andreas T1 - Dimensional psychiatry BT - reward dysfunction and depressive mood across psychiatric disorders T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe N2 - A dimensional approach in psychiatry aims to identify core mechanisms of mental disorders across nosological boundaries. We compared anticipation of reward between major psychiatric disorders, and investigated whether reward anticipation is impaired in several mental disorders and whether there is a common psychopathological correlate (negative mood) of such an impairment. We used functional magnetic resonance imaging (fMRI) and a monetary incentive delay (MID) task to study the functional correlates of reward anticipation across major psychiatric disorders in 184 subjects, with the diagnoses of alcohol dependence (n = 26), schizophrenia (n = 44), major depressive disorder (MDD, n = 24), bipolar disorder (acute manic episode, n = 13), attention deficit/hyperactivity disorder (ADHD, n = 23), and healthy controls (n = 54). Subjects' individual Beck Depression Inventory-and State-Trait Anxiety Inventory-scores were correlated with clusters showing significant activation during reward anticipation. During reward anticipation, we observed significant group differences in ventral striatal (VS) activation: patients with schizophrenia, alcohol dependence, and major depression showed significantly less ventral striatal activation compared to healthy controls. Depressive symptoms correlated with dysfunction in reward anticipation regardless of diagnostic entity. There was no significant correlation between anxiety symptoms and VS functional activation. Our findings demonstrate a neurobiological dysfunction related to reward prediction that transcended disorder categories and was related to measures of depressed mood. The findings underline the potential of a dimensional approach in psychiatry and strengthen the hypothesis that neurobiological research in psychiatric disorders can be targeted at core mechanisms that are likely to be implicated in a range of clinical entities. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 653 KW - dimensional KW - fMRI KW - reward system KW - ventral striatum KW - monetary incentive delay task KW - depressive symptoms Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-431064 SN - 1866-8364 IS - 653 SP - 331 EP - 341 ER - TY - JOUR A1 - Haegele, Claudia A1 - Schlagenhauf, Florian A1 - Rapp, Michael A. A1 - Sterzer, Philipp A1 - Beck, Anne A1 - Bermpohl, Felix A1 - Stoy, Meline A1 - Stroehle, Andreas A1 - Wittchen, Hans-Ulrich A1 - Dolan, Raymond J. A1 - Heinz, Andreas T1 - Dimensional psychiatry: reward dysfunction and depressive mood across psychiatric disorders JF - Psychopharmacology N2 - A dimensional approach in psychiatry aims to identify core mechanisms of mental disorders across nosological boundaries. We compared anticipation of reward between major psychiatric disorders, and investigated whether reward anticipation is impaired in several mental disorders and whether there is a common psychopathological correlate (negative mood) of such an impairment. During reward anticipation, we observed significant group differences in ventral striatal (VS) activation: patients with schizophrenia, alcohol dependence, and major depression showed significantly less ventral striatal activation compared to healthy controls. Depressive symptoms correlated with dysfunction in reward anticipation regardless of diagnostic entity. There was no significant correlation between anxiety symptoms and VS functional activation. Our findings demonstrate a neurobiological dysfunction related to reward prediction that transcended disorder categories and was related to measures of depressed mood. The findings underline the potential of a dimensional approach in psychiatry and strengthen the hypothesis that neurobiological research in psychiatric disorders can be targeted at core mechanisms that are likely to be implicated in a range of clinical entities. KW - Dimensional KW - fMRI KW - Reward system KW - Ventral striatum KW - Monetary incentive delay task KW - Depressive symptoms Y1 - 2015 U6 - https://doi.org/10.1007/s00213-014-3662-7 SN - 0033-3158 SN - 1432-2072 VL - 232 IS - 2 SP - 331 EP - 341 PB - Springer CY - New York ER - TY - CHAP A1 - Haegele, Claudia A1 - Friedel, Eva A1 - Schlagenhauf, Florian A1 - Sterzer, Philipp A1 - Beck, Anne A1 - Bermpohl, Felix A1 - Rapp, Michael A. A1 - Stoy, Meline A1 - Stroehle, Andreas A1 - Dolan, Raymond J. A1 - Heinz, Andreas T1 - Reward expectation and affective responses across psychiatric disorders - A dimensional approach T2 - Biological psychiatry : a journal of psychiatric neuroscience and therapeutics ; a publication of the Society of Biological Psychiatry KW - dimensional KW - transdiagnostic KW - reward system KW - ventral striatum KW - fMRI Y1 - 2014 SN - 0006-3223 SN - 1873-2402 VL - 75 IS - 9 SP - 91S EP - 92S PB - Elsevier CY - New York ER - TY - JOUR A1 - Zech, Hilmar G. A1 - Reichert, Markus A1 - Ebner-Priemer, Ulrich W. A1 - Tost, Heike A1 - Rapp, Michael A. A1 - Heinz, Andreas A1 - Dolan, Raymond J. A1 - Smolka, Michael N. A1 - Deserno, Lorenz T1 - Mobile data collection of cognitive-behavioral tasks in substance use disorders: Where are we now? JF - Neuropsychobiology N2 - 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. KW - Ecological momentary assessment KW - Behavioral tasks KW - Smartphone KW - Substance use KW - Addiction Y1 - 2022 U6 - https://doi.org/10.1159/000523697 SN - 0302-282X SN - 1423-0224 VL - 81 IS - 5 SP - 438 EP - 450 PB - Karger CY - Basel ER -