Literature DB >> 21943608

Different time courses for learning-related changes in amygdala and orbitofrontal cortex.

Sara E Morrison1, Alexandre Saez, Brian Lau, C Daniel Salzman.   

Abstract

The orbitofrontal cortex (OFC) and amygdala are thought to participate in reversal learning, a process in which cue-outcome associations are switched. However, current theories disagree on whether OFC directs reversal learning in the amygdala. Here, we show that during reversal of cues' associations with rewarding and aversive outcomes, neurons that respond preferentially to stimuli predicting aversive events update more quickly in amygdala than OFC; meanwhile, OFC neurons that respond preferentially to reward-predicting stimuli update more quickly than those in the amygdala. After learning, however, OFC consistently differentiates between impending reinforcements with a shorter latency than the amygdala. Finally, analysis of local field potentials (LFPs) reveals a disproportionate influence of OFC on amygdala that emerges after learning. We propose that reversal learning is supported by complex interactions between neural circuits spanning the amygdala and OFC, rather than directed by any single structure.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21943608      PMCID: PMC3236094          DOI: 10.1016/j.neuron.2011.07.016

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


  53 in total

1.  Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala.

Authors:  H T Ghashghaei; C C Hilgetag; H Barbas
Journal:  Neuroimage       Date:  2006-11-27       Impact factor: 6.556

2.  Neurons in the macaque orbitofrontal cortex code relative preference of both rewarding and aversive outcomes.

Authors:  Takayuki Hosokawa; Keichiro Kato; Masato Inoue; Akichika Mikami
Journal:  Neurosci Res       Date:  2007-01-18       Impact factor: 3.304

3.  Expectation modulates neural responses to pleasant and aversive stimuli in primate amygdala.

Authors:  Marina A Belova; Joseph J Paton; Sara E Morrison; C Daniel Salzman
Journal:  Neuron       Date:  2007-09-20       Impact factor: 17.173

4.  Flexible neural representations of value in the primate brain.

Authors:  C Daniel Salzman; Joseph J Paton; Marina A Belova; Sara E Morrison
Journal:  Ann N Y Acad Sci       Date:  2007-09-13       Impact factor: 5.691

5.  The primate amygdala represents the positive and negative value of visual stimuli during learning.

Authors:  Joseph J Paton; Marina A Belova; Sara E Morrison; C Daniel Salzman
Journal:  Nature       Date:  2006-02-16       Impact factor: 49.962

Review 6.  The orbitofrontal cortex and beyond: from affect to decision-making.

Authors:  Edmund T Rolls; Fabian Grabenhorst
Journal:  Prog Neurobiol       Date:  2008-09-07       Impact factor: 11.685

7.  Orbitofrontal cortex and amygdala contributions to affect and action in primates.

Authors:  Elisabeth A Murray; Alicia Izquierdo
Journal:  Ann N Y Acad Sci       Date:  2007-09-10       Impact factor: 5.691

Review 8.  Contributions of the amygdala to emotion processing: from animal models to human behavior.

Authors:  Elizabeth A Phelps; Joseph E LeDoux
Journal:  Neuron       Date:  2005-10-20       Impact factor: 17.173

9.  Basolateral amygdala lesions abolish orbitofrontal-dependent reversal impairments.

Authors:  Thomas A Stalnaker; Theresa M Franz; Teghpal Singh; Geoffrey Schoenbaum
Journal:  Neuron       Date:  2007-04-05       Impact factor: 17.173

10.  Moment-to-moment tracking of state value in the amygdala.

Authors:  Marina A Belova; Joseph J Paton; C Daniel Salzman
Journal:  J Neurosci       Date:  2008-10-01       Impact factor: 6.167

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  75 in total

1.  Representations of appetitive and aversive information in the primate orbitofrontal cortex.

Authors:  Sara E Morrison; C Daniel Salzman
Journal:  Ann N Y Acad Sci       Date:  2011-12       Impact factor: 5.691

2.  Reduced activity at the 5-HT(2C) receptor enhances reversal learning by decreasing the influence of previously non-rewarded associations.

Authors:  S R O Nilsson; T L Ripley; E M Somerville; P G Clifton
Journal:  Psychopharmacology (Berl)       Date:  2012-05-29       Impact factor: 4.530

Review 3.  Manipulating neural activity in physiologically classified neurons: triumphs and challenges.

Authors:  Felicity Gore; Edmund C Schwartz; C Daniel Salzman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-09-19       Impact factor: 6.237

4.  Abstract Context Representations in Primate Amygdala and Prefrontal Cortex.

Authors:  A Saez; M Rigotti; S Ostojic; S Fusi; C D Salzman
Journal:  Neuron       Date:  2015-08-19       Impact factor: 17.173

Review 5.  Neurophysiology of Reward-Guided Behavior: Correlates Related to Predictions, Value, Motivation, Errors, Attention, and Action.

Authors:  Gregory B Bissonette; Matthew R Roesch
Journal:  Curr Top Behav Neurosci       Date:  2016

6.  Cortico-amygdala-striatal circuits are organized as hierarchical subsystems through the primate amygdala.

Authors:  Youngsun T Cho; Monique Ernst; Julie L Fudge
Journal:  J Neurosci       Date:  2013-08-28       Impact factor: 6.167

7.  Amygdala Functional and Structural Connectivity Predicts Individual Risk Tolerance.

Authors:  Wi Hoon Jung; Sangil Lee; Caryn Lerman; Joseph W Kable
Journal:  Neuron       Date:  2018-04-05       Impact factor: 17.173

8.  The contribution of nonhuman primate research to the understanding of emotion and cognition and its clinical relevance.

Authors:  Silvia Bernardi; C Daniel Salzman
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-23       Impact factor: 11.205

Review 9.  Using human brain imaging studies as a guide toward animal models of schizophrenia.

Authors:  S S Bolkan; F Carvalho Poyraz; C Kellendonk
Journal:  Neuroscience       Date:  2015-05-30       Impact factor: 3.590

Review 10.  What the orbitofrontal cortex does not do.

Authors:  Thomas A Stalnaker; Nisha K Cooch; Geoffrey Schoenbaum
Journal:  Nat Neurosci       Date:  2015-05       Impact factor: 24.884

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