Literature DB >> 15016083

Effects of variability in anatomical reconstruction techniques on models of synaptic integration by dendrites: a comparison of three Internet archives.

Tibor Szilágyi1, Erik De Schutter.   

Abstract

The first step in building a realistic computational neuron model is to produce a passive electrical skeleton on to which active conductances can be grafted. For this, anatomically accurate morphological reconstructions of the desired cell type are required. In this study compartmental models were used to compare from a functional perspective three on-line archives of rat hippocampal CA1 pyramidal cell morphologies. The topological organization of cells was found to be similar for all archives, but several morphometric differences were observed. The three-dimensional size of the cells, the diameter and tortuosity of dendrites, and the electrotonic length of the main apical dendrite and of the branches in stratum lacunosum moleculare were dissimilar. The experimentally measured kinetics of somatically recorded inhibitory postsynaptic currents evoked in the stratum lacunosum moleculare (data from the literature) could be reproduced only using the archives that contained cells with an electrotonically short main apical dendrite. In the amplitude attenuation of the simulated postsynaptic currents and the voltage escape from the command potential under voltage clamp conditions, a two- to three-fold difference was observed among archives. Upon activation of a single model synapse on distal branches, cells with low dendritic diameter showed a voltage escape larger than 15 mV. The diameter of the dendrites influenced greatly the results, emphasizing the importance of methods that allow an accurate measurement of this parameter. Our results indicate that there are functionally significant differences in the morphometric data available in different archives even if the cell type, brain region and species are the same.

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Year:  2004        PMID: 15016083     DOI: 10.1111/j.1460-9568.2004.03222.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  15 in total

1.  A cross-platform freeware tool for digital reconstruction of neuronal arborizations from image stacks.

Authors:  Kerry M Brown; Duncan E Donohue; Giampaolo D'Alessandro; Giorgio A Ascoli
Journal:  Neuroinformatics       Date:  2005

2.  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

3.  Local diameter fully constrains dendritic size in basal but not apical trees of CA1 pyramidal neurons.

Authors:  Duncan E Donohue; Giorgio A Ascoli
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

4.  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

Review 5.  Successes and rewards in sharing digital reconstructions of neuronal morphology.

Authors:  Giorgio A Ascoli
Journal:  Neuroinformatics       Date:  2007

6.  A classification method to distinguish cell-specific responses elicited by current pulses in hippocampal CA1 pyramidal cells.

Authors:  José Ambros-Ingerson; Lawrence M Grover; William R Holmes
Journal:  Neural Comput       Date:  2008-06       Impact factor: 2.026

7.  Reviewing multi-disciplinary papers: a challenge in neuroscience?

Authors:  Erik De Schutter
Journal:  Neuroinformatics       Date:  2008-10-21

8.  Non-parametric algorithmic generation of neuronal morphologies.

Authors:  Benjamin Torben-Nielsen; Stijn Vanderlooy; Eric O Postma
Journal:  Neuroinformatics       Date:  2008-09-17

9.  Contribution of morphology and membrane resistance to integration of fast synaptic signals in two thalamic cell types.

Authors:  Marie-Claude Perreault; Morten Raastad
Journal:  J Physiol       Date:  2006-09-07       Impact factor: 5.182

10.  Stochastic ion channel gating in dendritic neurons: morphology dependence and probabilistic synaptic activation of dendritic spikes.

Authors:  Robert C Cannon; Cian O'Donnell; Matthew F Nolan
Journal:  PLoS Comput Biol       Date:  2010-08-12       Impact factor: 4.475

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