Literature DB >> 24267657

Dissociable effects of dopamine and serotonin on reversal learning.

Hanneke E M den Ouden1, Nathaniel D Daw, Guillén Fernandez, Joris A Elshout, Mark Rijpkema, Martine Hoogman, Barbara Franke, Roshan Cools.   

Abstract

Serotonin and dopamine are speculated to subserve motivationally opponent functions, but this hypothesis has not been directly tested. We studied the role of these neurotransmitters in probabilistic reversal learning in nearly 700 individuals as a function of two polymorphisms in the genes encoding the serotonin and dopamine transporters (SERT: 5HTTLPR plus rs25531; DAT1 3'UTR VNTR). A double dissociation was observed. The SERT polymorphism altered behavioral adaptation after losses, with increased lose-shift associated with L' homozygosity, while leaving unaffected perseveration after reversal. In contrast, the DAT1 genotype affected the influence of prior choices on perseveration, while leaving lose-shifting unaltered. A model of reinforcement learning captured the dose-dependent effect of DAT1 genotype, such that an increasing number of 9R-alleles resulted in a stronger reliance on previous experience and therefore reluctance to update learned associations. These data provide direct evidence for doubly dissociable effects of serotonin and dopamine systems.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24267657     DOI: 10.1016/j.neuron.2013.08.030

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  73 in total

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6.  Multiple memory systems as substrates for multiple decision systems.

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Authors:  Johannes H Decker; Frederico S Lourenco; Bradley B Doll; Catherine A Hartley
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9.  When Implicit Prosociality Trumps Selfishness: The Neural Valuation System Underpins More Optimal Choices When Learning to Avoid Harm to Others Than to Oneself.

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Review 10.  The neural basis of reversal learning: An updated perspective.

Authors:  A Izquierdo; J L Brigman; A K Radke; P H Rudebeck; A Holmes
Journal:  Neuroscience       Date:  2016-03-12       Impact factor: 3.590

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