Cargando…

Balanced Plasticity and Stability of the Electrical Properties of a Molluscan Modulatory Interneuron after Classical Conditioning: A Computational Study

The Cerebral Giant Cells (CGCs) are a pair of identified modulatory interneurons in the Central Nervous System of the pond snail Lymnaea stagnalis with an important role in the expression of both unconditioned and conditioned feeding behavior. Following single-trial food-reward classical conditionin...

Descripción completa

Detalles Bibliográficos
Autores principales: Vavoulis, Dimitris V., Nikitin, Eugeny S., Kemenes, Ildikó, Marra, Vincenzo, Feng, Jianfeng, Benjamin, Paul R., Kemenes, György
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2871690/
https://www.ncbi.nlm.nih.gov/pubmed/20485464
http://dx.doi.org/10.3389/fnbeh.2010.00019
_version_ 1782181181818667008
author Vavoulis, Dimitris V.
Nikitin, Eugeny S.
Kemenes, Ildikó
Marra, Vincenzo
Feng, Jianfeng
Benjamin, Paul R.
Kemenes, György
author_facet Vavoulis, Dimitris V.
Nikitin, Eugeny S.
Kemenes, Ildikó
Marra, Vincenzo
Feng, Jianfeng
Benjamin, Paul R.
Kemenes, György
author_sort Vavoulis, Dimitris V.
collection PubMed
description The Cerebral Giant Cells (CGCs) are a pair of identified modulatory interneurons in the Central Nervous System of the pond snail Lymnaea stagnalis with an important role in the expression of both unconditioned and conditioned feeding behavior. Following single-trial food-reward classical conditioning, the membrane potential of the CGCs becomes persistently depolarized. This depolarization contributes to the conditioned response by facilitating sensory cell to command neuron synapses, which results in the activation of the feeding network by the conditioned stimulus. Despite the depolarization of the membrane potential, which enables the CGGs to play a key role in learning-induced network plasticity, there is no persistent change in the tonic firing rate or shape of the action potentials, allowing these neurons to retain their normal network function in feeding. In order to understand the ionic mechanisms of this novel combination of plasticity and stability of intrinsic electrical properties, we first constructed and validated a Hodgkin-Huxley-type model of the CGCs. We then used this model to elucidate how learning-induced changes in a somal persistent sodium and a delayed rectifier potassium current lead to a persistent depolarization of the CGCs whilst maintaining their firing rate. Including in the model an additional increase in the conductance of a high-voltage-activated calcium current allowed the spike amplitude and spike duration also to be maintained after conditioning. We conclude therefore that a balanced increase in three identified conductances is sufficient to explain the electrophysiological changes found in the CGCs after classical conditioning.
format Text
id pubmed-2871690
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Frontiers Research Foundation
record_format MEDLINE/PubMed
spelling pubmed-28716902010-05-18 Balanced Plasticity and Stability of the Electrical Properties of a Molluscan Modulatory Interneuron after Classical Conditioning: A Computational Study Vavoulis, Dimitris V. Nikitin, Eugeny S. Kemenes, Ildikó Marra, Vincenzo Feng, Jianfeng Benjamin, Paul R. Kemenes, György Front Behav Neurosci Neuroscience The Cerebral Giant Cells (CGCs) are a pair of identified modulatory interneurons in the Central Nervous System of the pond snail Lymnaea stagnalis with an important role in the expression of both unconditioned and conditioned feeding behavior. Following single-trial food-reward classical conditioning, the membrane potential of the CGCs becomes persistently depolarized. This depolarization contributes to the conditioned response by facilitating sensory cell to command neuron synapses, which results in the activation of the feeding network by the conditioned stimulus. Despite the depolarization of the membrane potential, which enables the CGGs to play a key role in learning-induced network plasticity, there is no persistent change in the tonic firing rate or shape of the action potentials, allowing these neurons to retain their normal network function in feeding. In order to understand the ionic mechanisms of this novel combination of plasticity and stability of intrinsic electrical properties, we first constructed and validated a Hodgkin-Huxley-type model of the CGCs. We then used this model to elucidate how learning-induced changes in a somal persistent sodium and a delayed rectifier potassium current lead to a persistent depolarization of the CGCs whilst maintaining their firing rate. Including in the model an additional increase in the conductance of a high-voltage-activated calcium current allowed the spike amplitude and spike duration also to be maintained after conditioning. We conclude therefore that a balanced increase in three identified conductances is sufficient to explain the electrophysiological changes found in the CGCs after classical conditioning. Frontiers Research Foundation 2010-05-05 /pmc/articles/PMC2871690/ /pubmed/20485464 http://dx.doi.org/10.3389/fnbeh.2010.00019 Text en Copyright © 2010 Vavoulis, Nikitin, Kemenes, Marra, Feng, Benjamin and Kemenes. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
spellingShingle Neuroscience
Vavoulis, Dimitris V.
Nikitin, Eugeny S.
Kemenes, Ildikó
Marra, Vincenzo
Feng, Jianfeng
Benjamin, Paul R.
Kemenes, György
Balanced Plasticity and Stability of the Electrical Properties of a Molluscan Modulatory Interneuron after Classical Conditioning: A Computational Study
title Balanced Plasticity and Stability of the Electrical Properties of a Molluscan Modulatory Interneuron after Classical Conditioning: A Computational Study
title_full Balanced Plasticity and Stability of the Electrical Properties of a Molluscan Modulatory Interneuron after Classical Conditioning: A Computational Study
title_fullStr Balanced Plasticity and Stability of the Electrical Properties of a Molluscan Modulatory Interneuron after Classical Conditioning: A Computational Study
title_full_unstemmed Balanced Plasticity and Stability of the Electrical Properties of a Molluscan Modulatory Interneuron after Classical Conditioning: A Computational Study
title_short Balanced Plasticity and Stability of the Electrical Properties of a Molluscan Modulatory Interneuron after Classical Conditioning: A Computational Study
title_sort balanced plasticity and stability of the electrical properties of a molluscan modulatory interneuron after classical conditioning: a computational study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2871690/
https://www.ncbi.nlm.nih.gov/pubmed/20485464
http://dx.doi.org/10.3389/fnbeh.2010.00019
work_keys_str_mv AT vavoulisdimitrisv balancedplasticityandstabilityoftheelectricalpropertiesofamolluscanmodulatoryinterneuronafterclassicalconditioningacomputationalstudy
AT nikitineugenys balancedplasticityandstabilityoftheelectricalpropertiesofamolluscanmodulatoryinterneuronafterclassicalconditioningacomputationalstudy
AT kemenesildiko balancedplasticityandstabilityoftheelectricalpropertiesofamolluscanmodulatoryinterneuronafterclassicalconditioningacomputationalstudy
AT marravincenzo balancedplasticityandstabilityoftheelectricalpropertiesofamolluscanmodulatoryinterneuronafterclassicalconditioningacomputationalstudy
AT fengjianfeng balancedplasticityandstabilityoftheelectricalpropertiesofamolluscanmodulatoryinterneuronafterclassicalconditioningacomputationalstudy
AT benjaminpaulr balancedplasticityandstabilityoftheelectricalpropertiesofamolluscanmodulatoryinterneuronafterclassicalconditioningacomputationalstudy
AT kemenesgyorgy balancedplasticityandstabilityoftheelectricalpropertiesofamolluscanmodulatoryinterneuronafterclassicalconditioningacomputationalstudy