Literature DB >> 25605941

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

Lorenz Deserno1, Quentin J M Huys2, Rebecca Boehme3, Ralph Buchert4, Hans-Jochen Heinze5, Anthony A Grace6, Raymond J Dolan7, Andreas Heinz8, Florian Schlagenhauf9.   

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 [(18)F]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.

Entities:  

Keywords:  PET; decision making; dopamine; fMRI; reinforcement learning

Mesh:

Substances:

Year:  2015        PMID: 25605941      PMCID: PMC4321318          DOI: 10.1073/pnas.1417219112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  54 in total

1.  Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control.

Authors:  Nathaniel D Daw; Yael Niv; Peter Dayan
Journal:  Nat Neurosci       Date:  2005-11-06       Impact factor: 24.884

2.  The role of the dorsomedial striatum in instrumental conditioning.

Authors:  Henry H Yin; Sean B Ostlund; Barbara J Knowlton; Bernard W Balleine
Journal:  Eur J Neurosci       Date:  2005-07       Impact factor: 3.386

3.  Asymmetry in dopamine D(2/3) receptors of caudate nucleus is lost with age.

Authors:  Ingo Vernaleken; Carsten Weibrich; Thomas Siessmeier; Hans-Georg Buchholz; Frank Rösch; Andreas Heinz; Paul Cumming; Peter Stoeter; Peter Bartenstein; Gerhard Gründer
Journal:  Neuroimage       Date:  2006-12-15       Impact factor: 6.556

Review 4.  Linking nucleus accumbens dopamine and blood oxygenation.

Authors:  Brian Knutson; Sasha E B Gibbs
Journal:  Psychopharmacology (Berl)       Date:  2007-02-06       Impact factor: 4.530

Review 5.  Twenty-five lessons from computational neuromodulation.

Authors:  Peter Dayan
Journal:  Neuron       Date:  2012-10-04       Impact factor: 17.173

6.  Dopaminergic modulation of limbic and cortical drive of nucleus accumbens in goal-directed behavior.

Authors:  Yukiori Goto; Anthony A Grace
Journal:  Nat Neurosci       Date:  2005-05-22       Impact factor: 24.884

7.  Tonic dopamine: opportunity costs and the control of response vigor.

Authors:  Yael Niv; Nathaniel D Daw; Daphna Joel; Peter Dayan
Journal:  Psychopharmacology (Berl)       Date:  2006-10-10       Impact factor: 4.530

8.  By carrot or by stick: cognitive reinforcement learning in parkinsonism.

Authors:  Michael J Frank; Lauren C Seeberger; Randall C O'reilly
Journal:  Science       Date:  2004-11-04       Impact factor: 47.728

9.  'Prefrontal' cognitive performance of healthy subjects positively correlates with cerebral FDOPA influx: an exploratory [18F]-fluoro-L-DOPA-PET investigation.

Authors:  Ingo Vernaleken; Hans-Georg Buchholz; Yoshitaka Kumakura; Thomas Siessmeier; Peter Stoeter; Peter Bartenstein; Paul Cumming; Gerhard Gründer
Journal:  Hum Brain Mapp       Date:  2007-10       Impact factor: 5.038

10.  Depressive symptoms and presynaptic dopamine function in neuroleptic-naive schizophrenia.

Authors:  J Hietala; E Syvälahti; H Vilkman; K Vuorio; V Räkköläinen; J Bergman; M Haaparanta; O Solin; M Kuoppamäki; E Eronen; U Ruotsalainen; R K Salokangas
Journal:  Schizophr Res       Date:  1999-01-04       Impact factor: 4.939

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  78 in total

Review 1.  Age-related variability in decision-making: Insights from neurochemistry.

Authors:  Anne S Berry; William J Jagust; Ming Hsu
Journal:  Cogn Affect Behav Neurosci       Date:  2019-06       Impact factor: 3.282

2.  Electrophysiological correlates reflect the integration of model-based and model-free decision information.

Authors:  Ben Eppinger; Maik Walter; Shu-Chen Li
Journal:  Cogn Affect Behav Neurosci       Date:  2017-04       Impact factor: 3.282

3.  Neurochemical and Behavioral Dissections of Decision-Making in a Rodent Multistage Task.

Authors:  Stephanie M Groman; Bart Massi; Samuel R Mathias; Daniel W Curry; Daeyeol Lee; Jane R Taylor
Journal:  J Neurosci       Date:  2018-11-09       Impact factor: 6.167

4.  Functional connectivity between prefrontal cortex and striatum estimated by phase locking value.

Authors:  Yan Zhang; Xiaochuan Pan; Rubin Wang; Masamichi Sakagami
Journal:  Cogn Neurodyn       Date:  2016-01-29       Impact factor: 5.082

5.  Emotion regulation involves both model-based and model-free processes.

Authors:  Amit Etkin; Christian Büchel; James J Gross
Journal:  Nat Rev Neurosci       Date:  2016-06-09       Impact factor: 34.870

6.  Impaired Flexible Reward-Based Decision-Making in Binge Eating Disorder: Evidence from Computational Modeling and Functional Neuroimaging.

Authors:  Andrea M F Reiter; Hans-Jochen Heinze; Florian Schlagenhauf; Lorenz Deserno
Journal:  Neuropsychopharmacology       Date:  2016-06-15       Impact factor: 7.853

Review 7.  Computational psychiatry as a bridge from neuroscience to clinical applications.

Authors:  Quentin J M Huys; Tiago V Maia; Michael J Frank
Journal:  Nat Neurosci       Date:  2016-03       Impact factor: 24.884

8.  Habitual control of goal selection in humans.

Authors:  Fiery Cushman; Adam Morris
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-12       Impact factor: 11.205

Review 9.  Using fMRI to study reward processing in humans: past, present, and future.

Authors:  Kainan S Wang; David V Smith; Mauricio R Delgado
Journal:  J Neurophysiol       Date:  2016-01-06       Impact factor: 2.714

Review 10.  Pathway-Specific Dopamine Abnormalities in Schizophrenia.

Authors:  Jodi J Weinstein; Muhammad O Chohan; Mark Slifstein; Lawrence S Kegeles; Holly Moore; Anissa Abi-Dargham
Journal:  Biol Psychiatry       Date:  2016-03-31       Impact factor: 13.382

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