Andreas Heinz, Falk Kiefer, Michael N. Smolka, Tanja Endrass, Christian Beste, Anne Beck, Shuyan Liu, Alexander Genauck, Lydia Romund, Michael A. Rapp, Heike Tost, Rainer Spanagel
- 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 primingOne 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.…
MetadatenAuthor details: | Andreas HeinzORCiDGND, Falk KieferORCiDGND, Michael N. SmolkaORCiDGND, Tanja EndrassORCiD, Christian BesteORCiDGND, Anne BeckORCiDGND, Shuyan LiuGND, Alexander GenauckORCiDGND, Lydia RomundORCiDGND, Michael A. RappORCiDGND, Heike TostORCiDGND, Rainer SpanagelORCiDGND |
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URN: | urn:nbn:de:kobv:517-opus4-525972 |
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DOI: | https://doi.org/10.25932/publishup-52597 |
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ISSN: | 1866-8364 |
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Title of parent work (German): | Postprints der Universität Potsdam : Humanwissenschaftliche Reihe |
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Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe (727) |
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Publication type: | Postprint |
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Language: | English |
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Date of first publication: | 2019/06/07 |
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Publication year: | 2020 |
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Publishing institution: | Universität Potsdam |
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Release date: | 2021/11/15 |
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Tag: | addiction; alternative rewards; animal and computational models; cognitive-behavioral control; craving and relapse; habit formation |
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Issue: | 2 |
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Article number: | e12866 |
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Number of pages: | 8 |
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Source: | Addiction Biology. 2020; 25:e12866. https://doi.org/10.1111/adb.12866 |
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Organizational units: | Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Sport- und Gesundheitswissenschaften |
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DDC classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Peer review: | Referiert |
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Publishing method: | Open Access / Green Open-Access |
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License (German): | CC-BY-NC - Namensnennung, nicht kommerziell 4.0 International |
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External remark: | Bibliographieeintrag der Originalveröffentlichung/Quelle |
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