Title |
No association of goal‐directed and habitual control with alcohol consumption in young adults
|
---|---|
Published in |
Addiction Biology, January 2017
|
DOI | 10.1111/adb.12490 |
Pubmed ID | |
Authors |
Stephan Nebe, Nils B. Kroemer, Daniel J. Schad, Nadine Bernhardt, Miriam Sebold, Dirk K. Müller, Lucie Scholl, Sören Kuitunen‐Paul, Andreas Heinz, Michael A. Rapp, Quentin J.M. Huys, Michael N. Smolka |
Abstract |
Alcohol dependence is a mental disorder that has been associated with an imbalance in behavioral control favoring model-free habitual over model-based goal-directed strategies. It is as yet unknown, however, whether such an imbalance reflects a predisposing vulnerability or results as a consequence of repeated and/or excessive alcohol exposure. We, therefore, examined the association of alcohol consumption with model-based goal-directed and model-free habitual control in 188 18-year-old social drinkers in a two-step sequential decision-making task while undergoing functional magnetic resonance imaging before prolonged alcohol misuse could have led to severe neurobiological adaptations. Behaviorally, participants showed a mixture of model-free and model-based decision-making as observed previously. Measures of impulsivity were positively related to alcohol consumption. In contrast, neither model-free nor model-based decision weights nor the trade-off between them were associated with alcohol consumption. There were also no significant associations between alcohol consumption and neural correlates of model-free or model-based decision quantities in either ventral striatum or ventromedial prefrontal cortex. Exploratory whole-brain functional magnetic resonance imaging analyses with a lenient threshold revealed early onset of drinking to be associated with an enhanced representation of model-free reward prediction errors in the posterior putamen. These results suggest that an imbalance between model-based goal-directed and model-free habitual control might rather not be a trait marker of alcohol intake per se. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | <1% |
Unknown | 132 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 21% |
Researcher | 23 | 17% |
Student > Master | 13 | 10% |
Student > Doctoral Student | 8 | 6% |
Student > Bachelor | 6 | 5% |
Other | 19 | 14% |
Unknown | 36 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 39 | 29% |
Neuroscience | 21 | 16% |
Medicine and Dentistry | 8 | 6% |
Nursing and Health Professions | 4 | 3% |
Agricultural and Biological Sciences | 4 | 3% |
Other | 15 | 11% |
Unknown | 42 | 32% |