Intra-individual fluctuations of cognitive control and decision- making as mediating mechanisms of control over drinking behavior (TRR 265 - Project A02)
Project summary
Predicting an escalation or reduction of substance use is a major challenge. The key assumption of this proposal is that intra-individual fluctuations in cognitive control and decision-making underlie changes in self-control over drinking behavior. In the first funding phase, we established smartphone-based experiments in individuals with alcohol use disorder (AUD) and showed that intra-individual fluctuations in cognitive control and decision-making are associated with changes in drinking behavior (Zech et al., 2024; Zech et al., 2022). In the second funding phase, based on a heuristic process model of self-control (Clay et al., 2022; Krönke et al., 2020) that specifies multiple pathways to a loss of control over drinking, we will investigate two mechanisms that may underlie intra-individual fluctuations in the mobilization of cognitive control: the underestimation of the expected value of control (Experiment 1) and deficient error- and conflict-monitoring (Experiment 2). We will test whether intra-individual fluctuations within and across days in these mechanisms predict drinking behavior. We’ll also explore moderation effects of contextual variables (e.g., intentions to change drinking, craving, stress). To achieve these goals, we will use smartphone-based experiments in combination with ecological momentary assessments (EMA) and physiological measurements in real-life contexts.
Project Members
Principle Investigators
Prof. Dr. Lorenz Deserno, Universitätsklinikum Würzburg
Prof. Dr. Thomas Goschke
Prof. Dr. Michael Smolka, Technische Universität Dresden
Staff
Funding
Key Publications
- Clay G, Mlynski C, Korb FM, Goschke T*, Job V* (2022) Rewarding cognitive effort increases the intrinsic value of mental labor. Proc Natl Acad Sci USA 119(5):e2111785119 (*Shared senior authorship). doi: 10.1073/pnas.2111785119
- *Deeken F, Reichert M, Zech H, Wenzel J, Wedemeyer F, Aguilera A, Aslan A, Bach P, Bahr NS, Ebrahimi C, Fischbach PC, Ganz M, Garbusow M, Großkopf CM, Heigert M, Hentschel A, Karl D, Pelz P, Pinger M, Riemerschmid C, Rosenthal A, Steffen J, Strehle J, Weiss F, Wieder G, Wieland A, Zaiser J, Zimmermann S, Walter H, Lenz B, Deserno L, Smolka MN, Liu S, Ebner-Priemer UW, Heinz A, Rapp MA, and the ReCoDe-Consortium (2022). Patterns of alcohol consumption among individuals with alcohol use disorder during the COVID-19 pandemic and lockdowns in Germany. JAMA Network Open 5(8):e2224641. doi: 10.1001/jamanetworkopen.2022.24641
- Deserno L, Moran R, Michely J, Lee Y, Dayan P, Dolan RJ (2021) Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference. eLife 10:e67778. doi: 10.7554/eLife.67778
- Krönke KM, Wolff M, Mohr H, Kräplin A, Smolka MN, Bühringer G, Goschke T (2018) Monitor yourself! Deficient error-related brain activity predicts real-life self-control failures. Cogn Affect Behav Neurosci 18(4):622-637. doi: 10.3758/s13415-018-0593-5
- Krönke KM, Wolff M, Mohr H, Kräplin A, Smolka MN, Bühringer G, Goschke T (2020a) Predicting real-life self-control from brain activity encoding the value of anticipated future outcomes. Psychol Sci 31(3):268-279. doi: 10.1177/0956797619896357
- Krönke KM, Wolff M, Shi Y, Kräplin A, Smolka MN, Bühringer G, Goschke T (2020b) Functional connectivity in a triple-network saliency model is associated with real-life self-control. Neuropsychologia 149:107667. doi: 10.1016/j.neuropsychologia.2020.107667
- *Sebold M, Kiebel, Smolka MN, Heinz A, Deserno L (2022) Computational theories of alcohol use disorder: Mapping learning and choice mechanisms on symptoms. Neuropsychobiology 81(5):1-18. doi: 10.1159/000527146
- *Waltmann M, Schlagenhauf F, Deserno L (2022) Sufficient reliability of the behavioral and computational readouts of a probabilistic reversal learning task. Behav Res Methods. doi: 10.3758/s13428-021-01739-7. Online ahead of print.
- *Zech, HG, Reichert, M, Ebner-Priemer, UW, Tost, H, Rapp, MA, Heinz, A, Dolan RJ, Smolka MN, Deserno, L (2022) Mobile data collection of cognitive-behavioral tasks in substance use disorders: Where are we now? Neuropsychobiology 81(5):1–13. 10.1159/000523697
- *Zech HG, Waltmann M, Lee Y, Reichert M, Bedder RL, Rutledge RB, Deeken F, Wenzel J, Wedemeyer F, Aguilera A, Aslan A, Bach P, Bahr NS, Ebrahimi C, Fischbach PC, Ganz M, Garbusow M, Großkopf CM, Heigert M, Hentschel A, Belanger M, Karl D, Pelz P, Pinger M, Riemerschmid C, Rosenthal A, Steffen J, Strehle J, Weiss F, Wieder G, Wieland A, Zaiser J, Zimmermann S, Liu S, Goschke T, Walter H, Tost H, Lenz B, Andoh J, Ebner-Priemer U, Rapp MA, Heinz A, Dolan RJ, Smolka MN, Deserno L, and ReCoDe-Consortium (2022). Measuring self-regulation in everyday life: reliability and validity of smartphone-based experiments in alcohol use disorder. Accepted for publication in Behav Res Methods. doi: 10.31234/osf.io/6mhsw
- Zech, H. G., Waltmann, M., Lee, Y., Reichert, M., Bedder, R. L., Rutledge, R., … Deserno, L. (2023, November 14). Intraindividual fluctuations in decision-making predict real-life drinking in alcohol use disorder. https://doi.org/10.31234/osf.io/96zac
Link
FP2 - Domain A: Collaborative Research Centre TRR 265: Losing and Regaining Control over Drug Intake