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A software tool for the analysis of neuronal morphology data
Anatomy plays a fundamental role in supporting and shaping nervous system activity. The remarkable progress of computer processing power within the last two decades has enabled the generation of electronic databases of complete three-dimensional (3D) dendritic and axonal morphology for neuroanatomic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928584/ https://www.ncbi.nlm.nih.gov/pubmed/24529393 http://dx.doi.org/10.1186/1755-7682-7-6 |
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author | Ledderose, Julia Sención, Luis Salgado, Humberto Arias-Carrión, Oscar Treviño, Mario |
author_facet | Ledderose, Julia Sención, Luis Salgado, Humberto Arias-Carrión, Oscar Treviño, Mario |
author_sort | Ledderose, Julia |
collection | PubMed |
description | Anatomy plays a fundamental role in supporting and shaping nervous system activity. The remarkable progress of computer processing power within the last two decades has enabled the generation of electronic databases of complete three-dimensional (3D) dendritic and axonal morphology for neuroanatomical studies. Several laboratories are freely posting their reconstructions online after result publication v.gr. NeuroMorpho.Org (Nat Rev Neurosci7:318–324, 2006). These neuroanatomical archives represent a crucial resource to explore the relationship between structure and function in the brain (Front Neurosci6:49, 2012). However, such 'Cartesian’ descriptions bear little intuitive information for neuroscientists. Here, we developed a simple prototype of a MATLAB-based software tool to quantitatively describe the 3D neuronal structures from public repositories. The program imports neuronal reconstructions and quantifies statistical distributions of basic morphological parameters such as branch length, tortuosity, branch's genealogy and bifurcation angles. Using these morphological distributions, our algorithm can generate a set of virtual neurons readily usable for network simulations. |
format | Online Article Text |
id | pubmed-3928584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39285842014-03-05 A software tool for the analysis of neuronal morphology data Ledderose, Julia Sención, Luis Salgado, Humberto Arias-Carrión, Oscar Treviño, Mario Int Arch Med Review Anatomy plays a fundamental role in supporting and shaping nervous system activity. The remarkable progress of computer processing power within the last two decades has enabled the generation of electronic databases of complete three-dimensional (3D) dendritic and axonal morphology for neuroanatomical studies. Several laboratories are freely posting their reconstructions online after result publication v.gr. NeuroMorpho.Org (Nat Rev Neurosci7:318–324, 2006). These neuroanatomical archives represent a crucial resource to explore the relationship between structure and function in the brain (Front Neurosci6:49, 2012). However, such 'Cartesian’ descriptions bear little intuitive information for neuroscientists. Here, we developed a simple prototype of a MATLAB-based software tool to quantitatively describe the 3D neuronal structures from public repositories. The program imports neuronal reconstructions and quantifies statistical distributions of basic morphological parameters such as branch length, tortuosity, branch's genealogy and bifurcation angles. Using these morphological distributions, our algorithm can generate a set of virtual neurons readily usable for network simulations. BioMed Central 2014-02-17 /pmc/articles/PMC3928584/ /pubmed/24529393 http://dx.doi.org/10.1186/1755-7682-7-6 Text en Copyright © 2014 Ledderose et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Ledderose, Julia Sención, Luis Salgado, Humberto Arias-Carrión, Oscar Treviño, Mario A software tool for the analysis of neuronal morphology data |
title | A software tool for the analysis of neuronal morphology data |
title_full | A software tool for the analysis of neuronal morphology data |
title_fullStr | A software tool for the analysis of neuronal morphology data |
title_full_unstemmed | A software tool for the analysis of neuronal morphology data |
title_short | A software tool for the analysis of neuronal morphology data |
title_sort | software tool for the analysis of neuronal morphology data |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928584/ https://www.ncbi.nlm.nih.gov/pubmed/24529393 http://dx.doi.org/10.1186/1755-7682-7-6 |
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