Model-based and model-free decisions in alcohol dependence

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Miriam Sebold - , Charité – Universitätsmedizin Berlin (Author)
  • Lorenz Deserno - , Charité – Universitätsmedizin Berlin, Max Planck Institute for Human Cognitive and Brain Sciences (Author)
  • Stefan Nebe - , TUD Dresden University of Technology (Author)
  • Daniel J. Schad - , Charité – Universitätsmedizin Berlin (Author)
  • Maria Garbusow - , Charité – Universitätsmedizin Berlin (Author)
  • Claudia Hägele - , Charité – Universitätsmedizin Berlin (Author)
  • Jürgen Keller - , Charité – Universitätsmedizin Berlin (Author)
  • Elisabeth Jünger - , University Hospital Carl Gustav Carus Dresden (Author)
  • Norbert Kathmann - , Humboldt University of Berlin (Author)
  • Michael Smolka - , Department of Psychiatry and Psychotherapy (Author)
  • Michael A. Rapp - , University of Potsdam (Author)
  • Florian Schlagenhauf - , Charité – Universitätsmedizin Berlin, Max Planck Institute for Human Cognitive and Brain Sciences (Author)
  • Andreas Heinz - , Charité – Universitätsmedizin Berlin (Author)
  • Quentin J.M. Huys - , University of Zurich (Author)

Abstract

Background: Human and animal work suggests a shift from goal-directed to habitual decision-making in addiction. However, the evidence for this in human alcohol dependence is as yet inconclusive.

Details

Original languageEnglish
Pages (from-to)122-131
Number of pages11
JournalNeuropsychobiology
Volume70
Issue number2
Publication statusPublished - 19 Nov 2014
Peer-reviewedYes

External IDs

PubMed 25359492
ORCID /0000-0001-5398-5569/work/161890836

Keywords

Keywords

  • Alcohol dependence, Computational psychiatry, Decision-making, Dopamine, Reinforcement learning

Library keywords