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A model of electrophysiological heterogeneity in periglomerular cells

Olfactory bulb (OB) periglomerular (PG) cells are heterogeneous with respect to several features, including morphology, connectivity, patterns of protein expression, and electrophysiological properties. However, these features rarely correlate with one another, suggesting that the differentiating pr...

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Detalles Bibliográficos
Autores principales: Sethupathy, Praveen, Rubin, Daniel B., Li, Guoshi, Cleland, Thomas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636461/
https://www.ncbi.nlm.nih.gov/pubmed/23637658
http://dx.doi.org/10.3389/fncom.2013.00049
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author Sethupathy, Praveen
Rubin, Daniel B.
Li, Guoshi
Cleland, Thomas A.
author_facet Sethupathy, Praveen
Rubin, Daniel B.
Li, Guoshi
Cleland, Thomas A.
author_sort Sethupathy, Praveen
collection PubMed
description Olfactory bulb (OB) periglomerular (PG) cells are heterogeneous with respect to several features, including morphology, connectivity, patterns of protein expression, and electrophysiological properties. However, these features rarely correlate with one another, suggesting that the differentiating properties of PG cells may arise from multiple independent adaptive variables rather than representing discrete cell classes. We use computational modeling to assess this hypothesis with respect to electrophysiological properties. Specifically, we show that the heterogeneous electrophysiological properties demonstrated in PG cell recordings can be explained solely by differences in the relative expression levels of ion channel species in the cell, without recourse to modifying channel kinetic properties themselves. This PG cell model can therefore be used as the basis for diverse cellular and network-level analyses of OB computations. Moreover, this simple basis for heterogeneity contributes to an emerging hypothesis that glomerular-layer interneurons may be better described as a single population expressing distributions of partially independent, potentially plastic properties, rather than as a set of discrete cell classes.
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spelling pubmed-36364612013-05-01 A model of electrophysiological heterogeneity in periglomerular cells Sethupathy, Praveen Rubin, Daniel B. Li, Guoshi Cleland, Thomas A. Front Comput Neurosci Neuroscience Olfactory bulb (OB) periglomerular (PG) cells are heterogeneous with respect to several features, including morphology, connectivity, patterns of protein expression, and electrophysiological properties. However, these features rarely correlate with one another, suggesting that the differentiating properties of PG cells may arise from multiple independent adaptive variables rather than representing discrete cell classes. We use computational modeling to assess this hypothesis with respect to electrophysiological properties. Specifically, we show that the heterogeneous electrophysiological properties demonstrated in PG cell recordings can be explained solely by differences in the relative expression levels of ion channel species in the cell, without recourse to modifying channel kinetic properties themselves. This PG cell model can therefore be used as the basis for diverse cellular and network-level analyses of OB computations. Moreover, this simple basis for heterogeneity contributes to an emerging hypothesis that glomerular-layer interneurons may be better described as a single population expressing distributions of partially independent, potentially plastic properties, rather than as a set of discrete cell classes. Frontiers Media S.A. 2013-04-26 /pmc/articles/PMC3636461/ /pubmed/23637658 http://dx.doi.org/10.3389/fncom.2013.00049 Text en Copyright © 2013 Sethupathy, Rubin, Li and Cleland. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Sethupathy, Praveen
Rubin, Daniel B.
Li, Guoshi
Cleland, Thomas A.
A model of electrophysiological heterogeneity in periglomerular cells
title A model of electrophysiological heterogeneity in periglomerular cells
title_full A model of electrophysiological heterogeneity in periglomerular cells
title_fullStr A model of electrophysiological heterogeneity in periglomerular cells
title_full_unstemmed A model of electrophysiological heterogeneity in periglomerular cells
title_short A model of electrophysiological heterogeneity in periglomerular cells
title_sort model of electrophysiological heterogeneity in periglomerular cells
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636461/
https://www.ncbi.nlm.nih.gov/pubmed/23637658
http://dx.doi.org/10.3389/fncom.2013.00049
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