A method for estimating gap-junctional conductance between ca3 hippocampal pyramidal neurons

Coupling ratio analysis using dual intracellular recording combined with ultrastructural examination of particles in plaques corresponding to gap-junctional channels is a quantitative measure of electrotonic coupling. The difficulty in combining both electrophysiological and morphological methods in...

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Main Authors: Poznanski, R.R., Ng, L.S., Woo, C.S.
Format: Article
Published: 2010
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Online Access:http://eprints.um.edu.my/5413/
http://www.worldscientific.com/doi/abs/10.1142/S0219635210002366
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spelling my.um.eprints.54132013-04-05T02:12:49Z http://eprints.um.edu.my/5413/ A method for estimating gap-junctional conductance between ca3 hippocampal pyramidal neurons Poznanski, R.R. Ng, L.S. Woo, C.S. T Technology (General) Coupling ratio analysis using dual intracellular recording combined with ultrastructural examination of particles in plaques corresponding to gap-junctional channels is a quantitative measure of electrotonic coupling. The difficulty in combining both electrophysiological and morphological methods in determining the gap-junctional conductance of electrical synapses is addressed through the use of a passive cable model of two electrotonically coupled CA3 hippocampal pyramidal cells. Cable estimates of the gap-junctional coupling conductance based on electrophysiological data are combined with freeze-fracture replicas of connexin channels (gap-junctions) to confirm strong coupling between the somata of CA3 pyramidal neurons, based on the assumption that the electrical synapse works as an ohmic resistor influenced by an ensemble of unitary resistances of gap-junctional channels. 2010 Article PeerReviewed Poznanski, R.R. and Ng, L.S. and Woo, C.S. (2010) A method for estimating gap-junctional conductance between ca3 hippocampal pyramidal neurons. Journal of Integrative Neuroscience, 9 (01). pp. 49-64. ISSN 0219-6352 http://www.worldscientific.com/doi/abs/10.1142/S0219635210002366
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic T Technology (General)
spellingShingle T Technology (General)
Poznanski, R.R.
Ng, L.S.
Woo, C.S.
A method for estimating gap-junctional conductance between ca3 hippocampal pyramidal neurons
description Coupling ratio analysis using dual intracellular recording combined with ultrastructural examination of particles in plaques corresponding to gap-junctional channels is a quantitative measure of electrotonic coupling. The difficulty in combining both electrophysiological and morphological methods in determining the gap-junctional conductance of electrical synapses is addressed through the use of a passive cable model of two electrotonically coupled CA3 hippocampal pyramidal cells. Cable estimates of the gap-junctional coupling conductance based on electrophysiological data are combined with freeze-fracture replicas of connexin channels (gap-junctions) to confirm strong coupling between the somata of CA3 pyramidal neurons, based on the assumption that the electrical synapse works as an ohmic resistor influenced by an ensemble of unitary resistances of gap-junctional channels.
format Article
author Poznanski, R.R.
Ng, L.S.
Woo, C.S.
author_facet Poznanski, R.R.
Ng, L.S.
Woo, C.S.
author_sort Poznanski, R.R.
title A method for estimating gap-junctional conductance between ca3 hippocampal pyramidal neurons
title_short A method for estimating gap-junctional conductance between ca3 hippocampal pyramidal neurons
title_full A method for estimating gap-junctional conductance between ca3 hippocampal pyramidal neurons
title_fullStr A method for estimating gap-junctional conductance between ca3 hippocampal pyramidal neurons
title_full_unstemmed A method for estimating gap-junctional conductance between ca3 hippocampal pyramidal neurons
title_sort method for estimating gap-junctional conductance between ca3 hippocampal pyramidal neurons
publishDate 2010
url http://eprints.um.edu.my/5413/
http://www.worldscientific.com/doi/abs/10.1142/S0219635210002366
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