Literature DB >> 422974

Hippocampal pyramidal cells: significance of dendritic ionic conductances for neuronal function and epileptogenesis.

R D Traub, R Llinás.   

Abstract

1. Starting with published data derived mainly from hippocampal slice preparations, we have used computer-modeling techniques to study hippocampal pyramidal cells (HPCs). 2. The dendrites of the HPC apparently have a short electrotonic length. Calcium spikes are apparently generated by a voltage-dependent mechanism whose kinetics are slow in comparison with those generating sodium spikes of the soma. Inward calcium currents are assumed to trigger a long-lasting potassium conductance. This slow calcium-potassium system, which in our model is located predominantly on the dendrites, provides a heuristic model to describe the mechanism for a) the after-depolarization following an HPC soma (sodium) spike, b) the long afterhyperpolarization following repetitive firing, c) bursts of spikes that sometimes occur after orthodromic or antidromic stimulation, and d) the buildup of the "depolarizing shift" during the strong synaptic input presumed to occur during seizures. 3. Fast prepotentials or d-spikes are shown to arise most probably from dendritic "hot spots" of sodium-regenerative membrane. The limited amplitude and short duration of these prepotentials imply that the hot spots are located on small dendrites. 4. Dendritic electroresponsiveness, first postulated for the HPC by Spencer and Kandel (52), is analyzed quantitatively here and is shown to provide rich integrative possibilities for this cell. Our model suggests that, for these nerve cells, alterations in specific membrane properties, particularly calcium electroresponsiveness, can lead to bursting behavior that resembles epileptogenic neuronal responses.

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Year:  1979        PMID: 422974     DOI: 10.1152/jn.1979.42.2.476

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  39 in total

1.  Theta-frequency bursting and resonance in cerebellar granule cells: experimental evidence and modeling of a slow k+-dependent mechanism.

Authors:  E D'Angelo; T Nieus; A Maffei; S Armano; P Rossi; V Taglietti; A Fontana; G Naldi
Journal:  J Neurosci       Date:  2001-02-01       Impact factor: 6.167

2.  Ionic mechanisms underlying spontaneous CA1 neuronal firing in Ca2+-free solution.

Authors:  Jianwei Shuai; Marom Bikson; Philip J Hahn; Jun Lian; Dominique M Durand
Journal:  Biophys J       Date:  2003-03       Impact factor: 4.033

3.  A model of NMDA receptor-mediated activity in dendrites of hippocampal CA1 pyramidal neurons.

Authors:  F Pongrácz; N P Poolos; J D Kocsis; G M Shepherd
Journal:  J Neurophysiol       Date:  1992-12       Impact factor: 2.714

4.  Cable properties of arborized Retzius cells of the leech in culture as probed by a voltage-sensitive dye.

Authors:  P Fromherz; T Vetter
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-15       Impact factor: 11.205

5.  Seizure-like afterdischarges simulated in a model neuron.

Authors:  H Kager; W J Wadman; G G Somjen
Journal:  J Comput Neurosci       Date:  2007-04       Impact factor: 1.621

6.  Modeling the attenuation and failure of action potentials in the dendrites of hippocampal neurons.

Authors:  M Migliore
Journal:  Biophys J       Date:  1996-11       Impact factor: 4.033

7.  The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: I. Passive membrane properties.

Authors:  A Borst; J Haag
Journal:  J Comput Neurosci       Date:  1996-12       Impact factor: 1.621

8.  Tetrodotoxin-sensitive dendritic spiking and control of axonal firing in a lobster mechanoreceptor neurone.

Authors:  D Combes; J Simmers; L Nonnotte; M Moulins
Journal:  J Physiol       Date:  1993-01       Impact factor: 5.182

Review 9.  Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience.

Authors:  Robert A McDougal; Thomas M Morse; Ted Carnevale; Luis Marenco; Rixin Wang; Michele Migliore; Perry L Miller; Gordon M Shepherd; Michael L Hines
Journal:  J Comput Neurosci       Date:  2016-09-15       Impact factor: 1.621

10.  A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties.

Authors:  Sergio Solinas; Thierry Nieus; Egidio D'Angelo
Journal:  Front Cell Neurosci       Date:  2010-05-14       Impact factor: 5.505

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