Literature DB >> 33531416

Coordinated Prefrontal State Transition Leads Extinction of Reward-Seeking Behaviors.

Eleonora Russo1, Tianyang Ma2, Rainer Spanagel3, Daniel Durstewitz4,5, Hazem Toutounji1,6,7, Georg Köhr2,8.   

Abstract

Extinction learning suppresses conditioned reward responses and is thus fundamental to adapt to changing environmental demands and to control excessive reward seeking. The medial prefrontal cortex (mPFC) monitors and controls conditioned reward responses. Abrupt transitions in mPFC activity anticipate changes in conditioned responses to altered contingencies. It remains, however, unknown whether such transitions are driven by the extinction of old behavioral strategies or by the acquisition of new competing ones. Using in vivo multiple single-unit recordings of mPFC in male rats, we studied the relationship between single-unit and population dynamics during extinction learning, using alcohol as a positive reinforcer in an operant conditioning paradigm. To examine the fine temporal relation between neural activity and behavior, we developed a novel behavioral model that allowed us to identify the number, onset, and duration of extinction-learning episodes in the behavior of each animal. We found that single-unit responses to conditioned stimuli changed even under stable experimental conditions and behavior. However, when behavioral responses to task contingencies had to be updated, unit-specific modulations became coordinated across the whole population, pushing the network into a new stable attractor state. Thus, extinction learning is not associated with suppressed mPFC responses to conditioned stimuli, but is anticipated by single-unit coordination into population-wide transitions of the internal state of the animal.SIGNIFICANCE STATEMENT The ability to suppress conditioned behaviors when no longer beneficial is fundamental for the survival of any organism. While pharmacological and optogenetic interventions have shown a critical involvement of the mPFC in the suppression of conditioned responses, the neural dynamics underlying such a process are still largely unknown. Combining novel analysis tools to describe behavior, single-neuron response, and population activity, we found that widespread changes in neuronal firing temporally coordinate across the whole mPFC population in anticipation of behavioral extinction. This coordination leads to a global transition in the internal state of the network, driving extinction of conditioned behavior.
Copyright © 2021 the authors.

Entities:  

Keywords:  alcohol; attractor states; behavioral model; change-point analysis; extinction learning; prelimbic cortex

Year:  2021        PMID: 33531416      PMCID: PMC7984585          DOI: 10.1523/JNEUROSCI.2588-20.2021

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


  60 in total

1.  Circular binary segmentation for the analysis of array-based DNA copy number data.

Authors:  Adam B Olshen; E S Venkatraman; Robert Lucito; Michael Wigler
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Review 2.  Neural mechanisms of extinction learning and retrieval.

Authors:  Gregory J Quirk; Devin Mueller
Journal:  Neuropsychopharmacology       Date:  2007-09-19       Impact factor: 7.853

3.  Medial Prefrontal Cortex Population Activity Is Plastic Irrespective of Learning.

Authors:  Abhinav Singh; Adrien Peyrache; Mark D Humphries
Journal:  J Neurosci       Date:  2019-02-27       Impact factor: 6.167

4.  Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory.

Authors:  Klaus Wimmer; Duane Q Nykamp; Christos Constantinidis; Albert Compte
Journal:  Nat Neurosci       Date:  2014-02-02       Impact factor: 24.884

Review 5.  Believing in dopamine.

Authors:  Samuel J Gershman; Naoshige Uchida
Journal:  Nat Rev Neurosci       Date:  2019-09-30       Impact factor: 34.870

Review 6.  Cortical state and attention.

Authors:  Kenneth D Harris; Alexander Thiele
Journal:  Nat Rev Neurosci       Date:  2011-08-10       Impact factor: 34.870

7.  Dysfunction in amygdala-prefrontal plasticity and extinction-resistant avoidance: A model for anxiety disorder vulnerability.

Authors:  Jennifer E C Fragale; Veronika Khariv; Danielle M Gregor; Ian M Smith; Xilu Jiao; Stella Elkabes; Richard J Servatius; Kevin C H Pang; Kevin D Beck
Journal:  Exp Neurol       Date:  2015-11-04       Impact factor: 5.330

8.  Context-dependent computation by recurrent dynamics in prefrontal cortex.

Authors:  Valerio Mante; David Sussillo; Krishna V Shenoy; William T Newsome
Journal:  Nature       Date:  2013-11-07       Impact factor: 49.962

9.  Prelimbic and infralimbic cortical inactivations attenuate contextually driven discriminative responding for reward.

Authors:  Sadia Riaz; Pugaliya Puveendrakumaran; Dinat Khan; Sharon Yoon; Laurie Hamel; Rutsuko Ito
Journal:  Sci Rep       Date:  2019-03-08       Impact factor: 4.379

10.  Belief state representation in the dopamine system.

Authors:  Benedicte M Babayan; Naoshige Uchida; Samuel J Gershman
Journal:  Nat Commun       Date:  2018-05-14       Impact factor: 14.919

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  3 in total

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2.  Activity Subspaces in Medial Prefrontal Cortex Distinguish States of the World.

Authors:  Silvia Maggi; Mark D Humphries
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Review 3.  Where Actions Meet Outcomes: Medial Prefrontal Cortex, Central Thalamus, and the Basal Ganglia.

Authors:  Robert G Mair; Miranda J Francoeur; Erin M Krell; Brett M Gibson
Journal:  Front Behav Neurosci       Date:  2022-07-05       Impact factor: 3.617

  3 in total

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