Literature DB >> 22350741

The effect of dendritic voltage-gated conductances on the neuronal impedance: a quantitative model.

Szabolcs Káli1, Rita Zemankovics.   

Abstract

Neuronal impedance characterizes the magnitude and timing of the subthreshold response of a neuron to oscillatory input at a given frequency. It is known to be influenced by both the morphology of the neuron and the presence of voltage-gated conductances in the cell membrane. Most existing theoretical accounts of neuronal impedance considered the effects of voltage-gated conductances but neglected the spatial extent of the cell, while others examined spatially extended dendrites with a passive or spatially uniform quasi-active membrane. We derived an explicit mathematical expression for the somatic input impedance of a model neuron consisting of a somatic compartment coupled to an infinite dendritic cable which contained voltage-gated conductances, in the more general case of non-uniform dendritic membrane potential. The validity and generality of this model was verified through computer simulations of various model neurons. The analytical model was then applied to the analysis of experimental data from real CA1 pyramidal neurons. The model confirmed that the biophysical properties and predominantly dendritic localization of the hyperpolarization-activated cation current I (h) were important determinants of the impedance profile, but also predicted a significant contribution from a depolarization-activated fast inward current. Our calculations also implicated the interaction of I (h) with amplifying currents as the main factor governing the shape of the impedance-frequency profile in two types of hippocampal interneuron. Our results provide not only a theoretical advance in our understanding of the frequency-dependent behavior of nerve cells, but also a practical tool for the identification of candidate mechanisms that determine neuronal response properties.

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Year:  2012        PMID: 22350741     DOI: 10.1007/s10827-012-0385-9

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  41 in total

Review 1.  Resonance, oscillation and the intrinsic frequency preferences of neurons.

Authors:  B Hutcheon; Y Yarom
Journal:  Trends Neurosci       Date:  2000-05       Impact factor: 13.837

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Authors:  Daniel Ulrich
Journal:  J Neurophysiol       Date:  2002-06       Impact factor: 2.714

3.  Distinct properties of two major excitatory inputs to hippocampal pyramidal cells: a computational study.

Authors:  Szabolcs Káli; Tamás F Freund
Journal:  Eur J Neurosci       Date:  2005-10       Impact factor: 3.386

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Authors:  W RALL
Journal:  Ann N Y Acad Sci       Date:  1962-03-02       Impact factor: 5.691

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Authors:  B Hutcheon; R M Miura; E Puil
Journal:  J Neurophysiol       Date:  1996-08       Impact factor: 2.714

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Authors:  G Stuart; N Spruston
Journal:  J Neurosci       Date:  1998-05-15       Impact factor: 6.167

Review 7.  The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function.

Authors:  R R Llinás
Journal:  Science       Date:  1988-12-23       Impact factor: 47.728

8.  Branching dendrites with resonant membrane: a "sum-over-trips" approach.

Authors:  S Coombes; Y Timofeeva; C-M Svensson; G J Lord; K Josić; S J Cox; C M Colbert
Journal:  Biol Cybern       Date:  2007-05-30       Impact factor: 2.086

9.  Subthreshold oscillations and resonant frequency in guinea-pig cortical neurons: physiology and modelling.

Authors:  Y Gutfreund; Y yarom; I Segev
Journal:  J Physiol       Date:  1995-03-15       Impact factor: 5.182

Review 10.  Dendritic excitability and synaptic plasticity.

Authors:  P Jesper Sjöström; Ede A Rancz; Arnd Roth; Michael Häusser
Journal:  Physiol Rev       Date:  2008-04       Impact factor: 37.312

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  2 in total

Review 1.  The role of negative conductances in neuronal subthreshold properties and synaptic integration.

Authors:  Cesar C Ceballos; Antonio C Roque; Ricardo M Leão
Journal:  Biophys Rev       Date:  2017-08-14

2.  Frequency dependence of CA3 spike phase response arising from h-current properties.

Authors:  Melodie Borel; Simone Guadagna; Hyun Jae Jang; Jeehyun Kwag; Ole Paulsen
Journal:  Front Cell Neurosci       Date:  2013-12-25       Impact factor: 5.505

  2 in total

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