Literature DB >> 26290234

Differential Dopamine Release Dynamics in the Nucleus Accumbens Core and Shell Reveal Complementary Signals for Error Prediction and Incentive Motivation.

Michael P Saddoris1, Fabio Cacciapaglia2, R Mark Wightman3, Regina M Carelli4.   

Abstract

Mesolimbic dopamine (DA) is phasically released during appetitive behaviors, though there is substantive disagreement about the specific purpose of these DA signals. For example, prediction error (PE) models suggest a role of learning, while incentive salience (IS) models argue that the DA signal imbues stimuli with value and thereby stimulates motivated behavior. However, within the nucleus accumbens (NAc) patterns of DA release can strikingly differ between subregions, and as such, it is possible that these patterns differentially contribute to aspects of PE and IS. To assess this, we measured DA release in subregions of the NAc during a behavioral task that spatiotemporally separated sequential goal-directed stimuli. Electrochemical methods were used to measure subsecond NAc dopamine release in the core and shell during a well learned instrumental chain schedule in which rats were trained to press one lever (seeking; SL) to gain access to a second lever (taking; TL) linked with food delivery, and again during extinction. In the core, phasic DA release was greatest following initial SL presentation, but minimal for the subsequent TL and reward events. In contrast, phasic shell DA showed robust release at all task events. Signaling decreased between the beginning and end of sessions in the shell, but not core. During extinction, peak DA release in the core showed a graded decrease for the SL and pauses in release during omitted expected rewards, whereas shell DA release decreased predominantly during the TL. These release dynamics suggest parallel DA signals capable of supporting distinct theories of appetitive behavior. SIGNIFICANCE STATEMENT: Dopamine signaling in the brain is important for a variety of cognitive functions, such as learning and motivation. Typically, it is assumed that a single dopamine signal is sufficient to support these cognitive functions, though competing theories disagree on how dopamine contributes to reward-based behaviors. Here, we have found that real-time dopamine release within the nucleus accumbens (a primary target of midbrain dopamine neurons) strikingly varies between core and shell subregions. In the core, dopamine dynamics are consistent with learning-based theories (such as reward prediction error) whereas in the shell, dopamine is consistent with motivation-based theories (e.g., incentive salience). These findings demonstrate that dopamine plays multiple and complementary roles based on discrete circuits that help animals optimize rewarding behaviors.
Copyright © 2015 the authors 0270-6474/15/3511572-11$15.00/0.

Entities:  

Keywords:  associative learning; fast-scan cyclic voltammetry; incentive salience; reinforcement learning; striatum; ventral tegmental area

Mesh:

Substances:

Year:  2015        PMID: 26290234      PMCID: PMC4540796          DOI: 10.1523/JNEUROSCI.2344-15.2015

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  47 in total

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Authors:  Michael P Saddoris; Michela Gallagher; Geoffrey Schoenbaum
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Review 4.  Review. The incentive sensitization theory of addiction: some current issues.

Authors:  Terry E Robinson; Kent C Berridge
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-10-12       Impact factor: 6.237

Review 5.  A neural substrate of prediction and reward.

Authors:  W Schultz; P Dayan; P R Montague
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6.  Mesolimbic dopamine dynamically tracks, and is causally linked to, discrete aspects of value-based decision making.

Authors:  Michael P Saddoris; Jonathan A Sugam; Garret D Stuber; Ilana B Witten; Karl Deisseroth; Regina M Carelli
Journal:  Biol Psychiatry       Date:  2014-11-13       Impact factor: 13.382

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Authors:  Susana Peciña; Kent C Berridge
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8.  Aversive stimuli differentially modulate real-time dopamine transmission dynamics within the nucleus accumbens core and shell.

Authors:  Aneesha Badrinarayan; Seth A Wescott; Caitlin M Vander Weele; Benjamin T Saunders; Brenann E Couturier; Stephen Maren; Brandon J Aragona
Journal:  J Neurosci       Date:  2012-11-07       Impact factor: 6.167

9.  A neural computational model of incentive salience.

Authors:  Jun Zhang; Kent C Berridge; Amy J Tindell; Kyle S Smith; J Wayne Aldridge
Journal:  PLoS Comput Biol       Date:  2009-07-17       Impact factor: 4.475

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Authors:  M C Olmstead; J A Parkinson; F J Miles; B J Everitt; A Dickinson
Journal:  Psychopharmacology (Berl)       Date:  2000-10       Impact factor: 4.530

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  67 in total

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2.  Acute Stress Enhances Associative Learning via Dopamine Signaling in the Ventral Lateral Striatum.

Authors:  Claire E Stelly; Sean C Tritley; Yousef Rafati; Matthew J Wanat
Journal:  J Neurosci       Date:  2020-04-22       Impact factor: 6.167

Review 3.  Dopamine-glutamate neuron projections to the nucleus accumbens medial shell and behavioral switching.

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4.  Ultrafast optical clearing method for three-dimensional imaging with cellular resolution.

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5.  Ventral striatum lesions do not affect reinforcement learning with deterministic outcomes on slow time scales.

Authors:  Raquel Vicario-Feliciano; Elisabeth A Murray; Bruno B Averbeck
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Review 6.  Reassessing wanting and liking in the study of mesolimbic influence on food intake.

Authors:  Saleem M Nicola
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2016-08-17       Impact factor: 3.619

7.  Prior Cocaine Experience Impairs Normal Phasic Dopamine Signals of Reward Value in Accumbens Shell.

Authors:  Michael P Saddoris; Jonathan A Sugam; Regina M Carelli
Journal:  Neuropsychopharmacology       Date:  2016-09-08       Impact factor: 7.853

8.  Dopamine Neurons Respond to Errors in the Prediction of Sensory Features of Expected Rewards.

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Review 9.  The dopamine motive system: implications for drug and food addiction.

Authors:  Nora D Volkow; Roy A Wise; Ruben Baler
Journal:  Nat Rev Neurosci       Date:  2017-11-16       Impact factor: 34.870

10.  Single sample sequencing (S3EQ) of epigenome and transcriptome in nucleus accumbens.

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Journal:  J Neurosci Methods       Date:  2018-07-18       Impact factor: 2.390

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