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 - TY - GEN A1 - Heinz, Andreas A1 - Kiefer, Falk A1 - Smolka, Michael N. A1 - Endrass, Tanja A1 - Beste, Christian A1 - Beck, Anne A1 - Liu, Shuyan A1 - Genauck, Alexander A1 - Romund, Lydia A1 - Rapp, Michael A. A1 - Tost, Heike A1 - Spanagel, Rainer T1 - Addiction research consortium: losing and regaining control over drug intake (ReCoDe) - from trajectories to mechanisms and interventions T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe N2 - One of the major risk factors for global death and disability is alcohol, tobacco, and illicit drug use. While there is increasing knowledge with respect to individual factors promoting the initiation and maintenance of substance use disorders (SUDs), disease trajectories involved in losing and regaining control over drug intake (ReCoDe) are still not well described. Our newly formed German Collaborative Research Centre (CRC) on ReCoDe has an interdisciplinary approach funded by the German Research Foundation (DFG) with a 12-year perspective. The main goals of our research consortium are (i) to identify triggers and modifying factors that longitudinally modulate the trajectories of losing and regaining control over drug consumption in real life, (ii) to study underlying behavioral, cognitive, and neurobiological mechanisms, and (iii) to implicate mechanism-based interventions. These goals will be achieved by: (i) using mobile health (m-health) tools to longitudinally monitor the effects of triggers (drug cues, stressors, and priming doses) and modify factors (eg, age, gender, physical activity, and cognitive control) on drug consumption patterns in real-life conditions and in animal models of addiction; (ii) the identification and computational modeling of key mechanisms mediating the effects of such triggers and modifying factors on goal-directed, habitual, and compulsive aspects of behavior from human studies and animal models; and (iii) developing and testing interventions that specifically target the underlying mechanisms for regaining control over drug intake. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 727 KW - addiction KW - alternative rewards KW - animal and computational models KW - cognitive-behavioral control KW - craving and relapse KW - habit formation Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-525972 SN - 1866-8364 IS - 2 ER - TY - JOUR A1 - Heinz, Andreas A1 - Kiefer, Falk A1 - Smolka, Michael N. A1 - Endrass, Tanja A1 - Beste, Christian A1 - Beck, Anne A1 - Liu, Shuyan A1 - Genauck, Alexander A1 - Romund, Lydia A1 - Rapp, Michael A. A1 - Tost, Heike A1 - Spanagel, Rainer T1 - Addiction research consortium: losing and regaining control over drug intake (ReCoDe) - from trajectories to mechanisms and interventions JF - Addiction Biology N2 - One of the major risk factors for global death and disability is alcohol, tobacco, and illicit drug use. While there is increasing knowledge with respect to individual factors promoting the initiation and maintenance of substance use disorders (SUDs), disease trajectories involved in losing and regaining control over drug intake (ReCoDe) are still not well described. Our newly formed German Collaborative Research Centre (CRC) on ReCoDe has an interdisciplinary approach funded by the German Research Foundation (DFG) with a 12-year perspective. The main goals of our research consortium are (i) to identify triggers and modifying factors that longitudinally modulate the trajectories of losing and regaining control over drug consumption in real life, (ii) to study underlying behavioral, cognitive, and neurobiological mechanisms, and (iii) to implicate mechanism-based interventions. These goals will be achieved by: (i) using mobile health (m-health) tools to longitudinally monitor the effects of triggers (drug cues, stressors, and priming doses) and modify factors (eg, age, gender, physical activity, and cognitive control) on drug consumption patterns in real-life conditions and in animal models of addiction; (ii) the identification and computational modeling of key mechanisms mediating the effects of such triggers and modifying factors on goal-directed, habitual, and compulsive aspects of behavior from human studies and animal models; and (iii) developing and testing interventions that specifically target the underlying mechanisms for regaining control over drug intake. KW - addiction KW - alternative rewards KW - animal and computational models KW - cognitive-behavioral control KW - craving and relapse KW - habit formation Y1 - 2019 VL - 25 IS - 2 PB - John Wiley & Sons, Inc. CY - New Jersey ER -