Literature DB >> 24003130

Independent circuits in the basal ganglia for the evaluation and selection of actions.

Marcus Stephenson-Jones1, Andreas A Kardamakis, Brita Robertson, Sten Grillner.   

Abstract

The basal ganglia are critical for selecting actions and evaluating their outcome. Although the circuitry for selection is well understood, how these nuclei evaluate the outcome of actions is unknown. Here, we show in lamprey that a separate evaluation circuit, which regulates the habenula-projecting globus pallidus (GPh) neurons, exists within the basal ganglia. The GPh neurons are glutamatergic and can drive the activity of the lateral habenula, which, in turn, provides an indirect inhibitory influence on midbrain dopamine neurons. We show that GPh neurons receive inhibitory input from the striosomal compartment of the striatum. The striosomal input can reduce the excitatory drive to the lateral habenula and, consequently, decrease the inhibition onto the dopaminergic system. Dopaminergic neurons, in turn, provide feedback that inhibits the GPh. In addition, GPh neurons receive direct projections from the pallium (cortex in mammals), which can increase the GPh activity to drive the lateral habenula to increase the inhibition of the neuromodulatory systems. This circuitry, thus, differs markedly from the "direct" and "indirect" pathways that regulate the pallidal (e.g., globus pallidus) output nuclei involved in the control of motion. Our results show that a distinct reward-evaluation circuit exists within the basal ganglia, in parallel to the direct and indirect pathways, which select actions. Our results suggest that these circuits are part of the fundamental blueprint that all vertebrates use to select actions and evaluate their outcome.

Entities:  

Keywords:  evolution; pallium/cortex; reward/aversion; striosomes

Mesh:

Year:  2013        PMID: 24003130      PMCID: PMC3780871          DOI: 10.1073/pnas.1314815110

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


  47 in total

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Journal:  J Neurosci       Date:  2011-08-10       Impact factor: 6.167

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Authors:  Huifang Ji; Paul D Shepard
Journal:  J Neurosci       Date:  2007-06-27       Impact factor: 6.167

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Journal:  Brain Res       Date:  1991-04-26       Impact factor: 3.252

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Authors:  Steven J Shabel; Christophe D Proulx; Anthony Trias; Ryan T Murphy; Roberto Malinow
Journal:  Neuron       Date:  2012-05-10       Impact factor: 17.173

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Review 7.  Circuit organization of sugar reinforcement.

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Review 8.  Deconstructing value-based decision making via temporally selective manipulation of neural activity: Insights from rodent models.

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