Literature DB >> 12031543

Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study.

Jeffrey L Krichmar1, Slawomir J Nasuto, Ruggero Scorcioni, Stuart D Washington, Giorgio A Ascoli.   

Abstract

We investigated the effect of morphological differences on neuronal firing behavior within the hippocampal CA3 pyramidal cell family by using three-dimensional reconstructions of dendritic morphology in computational simulations of electrophysiology. In this paper, we report for the first time that differences in dendritic structure within the same morphological class can have a dramatic influence on the firing rate and firing mode (spiking versus bursting and type of bursting). Our method consisted of converting morphological measurements from three-dimensional neuroanatomical data of CA3 pyramidal cells into a computational simulator format. In the simulation, active channels were distributed evenly across the cells so that the electrophysiological differences observed in the neurons would only be due to morphological differences. We found that differences in the size of the dendritic tree of CA3 pyramidal cells had a significant qualitative and quantitative effect on the electrophysiological response. Cells with larger dendritic trees: (1) had a lower burst rate, but a higher spike rate within a burst, (2) had higher thresholds for transitions from quiescent to bursting and from bursting to regular spiking and (3) tended to burst with a plateau. Dendritic tree size alone did not account for all the differences in electrophysiological responses. Differences in apical branching, such as the distribution of branch points and terminations per branch order, appear to effect the duration of a burst. These results highlight the importance of considering the contribution of morphology in electrophysiological and simulation studies.

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Year:  2002        PMID: 12031543     DOI: 10.1016/s0006-8993(02)02488-5

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  62 in total

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2.  A percolation approach to neural morphometry and connectivity.

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Journal:  Neuroinformatics       Date:  2003

3.  Structural Correlates of CA2 and CA3 Pyramidal Cell Activity in Freely-Moving Mice.

Authors:  Lingjun Ding; Hongbiao Chen; Maria Diamantaki; Stefano Coletta; Patricia Preston-Ferrer; Andrea Burgalossi
Journal:  J Neurosci       Date:  2020-06-18       Impact factor: 6.167

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5.  Signal propagation in oblique dendrites of CA1 pyramidal cells.

Authors:  Michele Migliore; Michele Ferrante; Giorgio A Ascoli
Journal:  J Neurophysiol       Date:  2005-12       Impact factor: 2.714

6.  Fitting experimental data to models that use morphological data from public databases.

Authors:  W R Holmes; J Ambros-Ingerson; L M Grover
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

7.  Morphological homeostasis in cortical dendrites.

Authors:  Alexei V Samsonovich; Giorgio A Ascoli
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-17       Impact factor: 11.205

8.  Influence of highly distinctive structural properties on the excitability of pyramidal neurons in monkey visual and prefrontal cortices.

Authors:  Joseph M Amatrudo; Christina M Weaver; Johanna L Crimins; Patrick R Hof; Douglas L Rosene; Jennifer I Luebke
Journal:  J Neurosci       Date:  2012-10-03       Impact factor: 6.167

9.  The membrane response of hippocampal CA3b pyramidal neurons near rest: Heterogeneity of passive properties and the contribution of hyperpolarization-activated currents.

Authors:  P Hemond; M Migliore; G A Ascoli; D B Jaffe
Journal:  Neuroscience       Date:  2009-02-13       Impact factor: 3.590

10.  Precise subcellular input retinotopy and its computational consequences in an identified visual interneuron.

Authors:  Simon P Peron; Peter W Jones; Fabrizio Gabbiani
Journal:  Neuron       Date:  2009-09-24       Impact factor: 17.173

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