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  Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making

Deserno, L., Huys, Q. J. M., Boehme, R., Buchert, R., Heinze, H.-J., Grace, A. A., et al. (2015). Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making. Proceedings of the National Academy of Sciences of the United States of America, 112(5), 1595-1600. doi:10.1073/pnas.1417219112.

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 Creators:
Deserno, Lorenz1, 2, 3, Author           
Huys, Quentin J. M.4, 5, Author
Boehme, Rebecca3, Author
Buchert, Ralph6, Author
Heinze, Hans-Jochen1, 2, 7, Author
Grace, Anthony A.8, 9, 10, Author
Dolan, Raymond11, 12, Author
Heinz, Andreas3, 13, Author
Schlagenhauf, Florian1, 3, Author           
Affiliations:
1Max Planck Fellow Group Cognitive and Affective Control of Behavioural Adaptation, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1753350              
2Department of Neurology, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
3Department of Psychiatry and Psychotherapy, Charité University Medicine Berlin, Germany, ou_persistent22              
4Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Switzerland, ou_persistent22              
5Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Zurich, Switzerland, ou_persistent22              
6Department of Nuclear Medicine, Charité University Medicine Berlin, Germany, ou_persistent22              
7Leibniz Institute for Neurobiology, Magdeburg, Germany, ou_persistent22              
8Department of Neuroscience, University of Pittsburgh, PA, USA, ou_persistent22              
9Department of Psychiatry, University of Pittsburgh, PA, USA, ou_persistent22              
10Department of Psychology, University of Pittsburgh, PA, USA, ou_persistent22              
11Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              
12Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
13NeuroCure Cluster of Excellence, Charité University Medicine Berlin, Germany, ou_persistent22              

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Free keywords: Dopamine; Decision making; Reinforcement learning; PET; fMRI
 Abstract: Dual system theories suggest that behavioral control is parsed between a deliberative “model-based” and a more reflexive “model-free” system. A balance of control exerted by these systems is thought to be related to dopamine neurotransmission. However, in the absence of direct measures of human dopamine, it remains unknown whether this reflects a quantitative relation with dopamine either in the striatum or other brain areas. Using a sequential decision task performed during functional magnetic resonance imaging, combined with striatal measures of dopamine using [18F]DOPA positron emission tomography, we show that higher presynaptic ventral striatal dopamine levels were associated with a behavioral bias toward more model-based control. Higher presynaptic dopamine in ventral striatum was associated with greater coding of model-based signatures in lateral prefrontal cortex and diminished coding of model-free prediction errors in ventral striatum. Thus, interindividual variability in ventral striatal presynaptic dopamine reflects a balance in the behavioral expression and the neural signatures of model-free and model-based control. Our data provide a novel perspective on how alterations in presynaptic dopamine levels might be accompanied by a disruption of behavioral control as observed in aging or neuropsychiatric diseases such as schizophrenia and addiction.

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Language(s): eng - English
 Dates: 2014-12-232015-01-202015-02-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1073/pnas.1417219112
PMID: 25605941
PMC: PMC4321318
Other: Epub 2015
 Degree: -

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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : Proc. Natl. Acad. Sci. U. S. A.
Source Genre: Journal
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Affiliations:
Publ. Info: National Academy of Sciences
Pages: - Volume / Issue: 112 (5) Sequence Number: - Start / End Page: 1595 - 1600 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230