Literature DB >> 15101088

Quantitative morphometry of hippocampal pyramidal cells: differences between anatomical classes and reconstructing laboratories.

Ruggero Scorcioni1, Maciej T Lazarewicz, Giorgio A Ascoli.   

Abstract

The dendritic trees of hippocampal pyramidal cells play important roles in the establishment and regulation of network connectivity, synaptic plasticity, and firing dynamics. Several laboratories routinely reconstruct CA3 and CA1 dendrites to correlate their three-dimensional structure with biophysical, electrophysiological, and anatomical observables. To integrate and assess the consistency of the quantitative data available to the scientific community, we exhaustively analyzed 143 completely reconstructed neurons intracellularly filled and digitized in five different laboratories from 10 experimental conditions. Thirty morphometric parameters, including the most common neuroanatomical measurements, were extracted from all neurons. A consistent fraction of parameters (11 of 30) was significantly different between CA3 and CA1 cells. A considerably large number of parameters was also found that discriminated among neurons within the same morphological class, but reconstructed in different laboratories. These interlaboratory differences (8 of 30 parameters) far outweighed the differences between experimental conditions within a single lab, such as aging or preparation method (at most two significant parameters). The set of morphometrics separating anatomical regions and that separating reconstructing laboratories were almost entirely nonoverlapping. CA3 and CA1 neurons could be distinguished by global quantities such as branch order and Sholl distance. Differences among laboratories were largely due to local variables such as branch diameter and local bifurcation angles. Only one parameter (a ratio of branch diameters) separated both morphological classes and reconstructing laboratories. Compartmental simulations of electrophysiological activity showed that both differences between anatomical classes and reconstructing laboratories could dramatically affect the firing rate of these neurons under different experimental conditions. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15101088     DOI: 10.1002/cne.20067

Source DB:  PubMed          Journal:  J Comp Neurol        ISSN: 0021-9967            Impact factor:   3.215


  38 in total

1.  The DIADEM metric: comparing multiple reconstructions of the same neuron.

Authors:  Todd A Gillette; Kerry M Brown; Giorgio A Ascoli
Journal:  Neuroinformatics       Date:  2011-09

2.  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

3.  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

4.  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

5.  Computational simulation of the input-output relationship in hippocampal pyramidal cells.

Authors:  Xiaoshen Li; Giorgio A Ascoli
Journal:  J Comput Neurosci       Date:  2006-07-25       Impact factor: 1.621

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

Review 7.  Successes and rewards in sharing digital reconstructions of neuronal morphology.

Authors:  Giorgio A Ascoli
Journal:  Neuroinformatics       Date:  2007

8.  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

9.  The tree-edit-distance, a measure for quantifying neuronal morphology.

Authors:  Holger Heumann; Gabriel Wittum
Journal:  Neuroinformatics       Date:  2009-05-28

10.  The electrotonic structure of pyramidal neurons contributing to prefrontal cortical circuits in macaque monkeys is significantly altered in aging.

Authors:  Doron Kabaso; Patrick J Coskren; Bruce I Henry; Patrick R Hof; Susan L Wearne
Journal:  Cereb Cortex       Date:  2009-01-15       Impact factor: 5.357

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