Presentation 2008-03-13
On classification of cell types in rat substantia nigra pars compacta on the basis of electrophysiological properties of neural membranes
Ryohei IWAHASHI, Takashi TATENO,
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Abstract(in English) In this study, to aim to understand characteristics of local circuits in substantia nigra pars compacta (SNc) of basal ganglia, we carried out electrophysiological experiments for rat midbrain slices at the single cell level. To investigate a possibility to classify neurons in SNc into several cell-types, especially, we recorded membrane voltage and current signals from individual neurons using a patch-clamp recording technique. Firstly, our results showed, as reported in previous studies, that neurons were classified into two cell-types; principal cells (PCs) and secondary cells (SCs). Firing rate in most of the PCs was lower than that in the SCs, and spike width in the PCs was wider than that in the SCs. Secondly, we immunochemically tested if the PCs were dopaminergic (DA) neurons and knew that non-DA neurons were included in the PCs. Thirdly, we tried to find subtypes in the SCs on the basis of obtained electrophysiological data. However, our analysis indicated that it is difficult to classify the SCs into several subtypes, because of continuous cell distribution in a space of some characteristic parameters of firing properties.
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Keyword(in English) dopaminergic neuron / immunochemical staining / patch clamp recording technique
Paper # NC2007-155
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Committee NC
Conference Date 2008/3/5(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On classification of cell types in rat substantia nigra pars compacta on the basis of electrophysiological properties of neural membranes
Sub Title (in English)
Keyword(1) dopaminergic neuron
Keyword(2) immunochemical staining
Keyword(3) patch clamp recording technique
1st Author's Name Ryohei IWAHASHI
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Takashi TATENO
2nd Author's Affiliation Graduate School of Engineering Science, Osaka University:PRESTO, Japan Science and Technology Agency
Date 2008-03-13
Paper # NC2007-155
Volume (vol) vol.107
Number (no) 542
Page pp.pp.-
#Pages 6
Date of Issue