Literature DB >> 23756373

New insights on vertebrate olivo-cerebellar climbing fibers from computerized morphological reconstructions.

Izumi Sugihara1, Kerry M Brown, Giorgio A Ascoli.   

Abstract

Characterization of neuronal connectivity is essential to understanding the architecture of the animal nervous system. Specific labeling and imaging techniques can visualize axons and dendrites of single nerve cells. Two-dimensional manual drawing has long been used to describe the morphology of labeled neuronal elements. However, quantitative morphometry, which is essential to understanding functional significance, cannot be readily extracted unless the detailed neuronal geometry is comprehensively reconstructed in three-dimensional space. We have recently applied an accurate and robust digital reconstruction system to cerebellar climbing fibers, which form highly dense and complex terminal arbors as one of the strongest presynaptic endings in the vertebrate nervous system. Resulting statistical analysis has shown how climbing fibers morphology is special in comparison to other axonal terminals. While thick primary branches may convey excitation quickly and faithfully to the far ends, thin tendril branches, which have a larger bouton density, form the majority of presynaptic outputs. This data set, now publicly available from NeuroMorpho.Org for further modeling and analysis, may constitute the first detailed and comprehensive digital reconstruction of the complete axonal terminal field with identified branch types and full accounting of boutons for any neuronal class in the vertebrate brain.

Keywords:  axon; biotinylated dextran amine; bouton; branches; cerebellar cortex; molecular layer; rat; tendril; terminal arbor

Mesh:

Year:  2013        PMID: 23756373      PMCID: PMC3715541          DOI: 10.4161/bioa.24062

Source DB:  PubMed          Journal:  Bioarchitecture        ISSN: 1949-0992


  11 in total

Review 1.  Generation, description and storage of dendritic morphology data.

Authors:  G A Ascoli; J L Krichmar; S J Nasuto; S L Senft
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-08-29       Impact factor: 6.237

Review 2.  Long-term depression.

Authors:  M Ito
Journal:  Annu Rev Neurosci       Date:  1989       Impact factor: 12.449

3.  Climbing fiber innervation of NG2-expressing glia in the mammalian cerebellum.

Authors:  Shih-Chun Lin; Jojanneke H J Huck; J David B Roberts; Wendy B Macklin; Peter Somogyi; Dwight E Bergles
Journal:  Neuron       Date:  2005-06-02       Impact factor: 17.173

4.  NeuroMorpho.Org: a central resource for neuronal morphologies.

Authors:  Giorgio A Ascoli; Duncan E Donohue; Maryam Halavi
Journal:  J Neurosci       Date:  2007-08-29       Impact factor: 6.167

5.  Bright field neuronal preparation optimized for automatic computerized reconstruction, a case with cerebellar climbing fibers.

Authors:  Izumi Sugihara
Journal:  Neuroinformatics       Date:  2011-09

6.  Morphology of single olivocerebellar axons in the denervation-reinnervation model produced by subtotal lesion of the rat inferior olive.

Authors:  Hanako Aoki; Izumi Sugihara
Journal:  Brain Res       Date:  2012-02-23       Impact factor: 3.252

7.  Microzonal projection and climbing fiber remodeling in single olivocerebellar axons of newborn rats at postnatal days 4-7.

Authors:  Izumi Sugihara
Journal:  J Comp Neurol       Date:  2005-06-20       Impact factor: 3.215

8.  Morphology of single olivocerebellar axons labeled with biotinylated dextran amine in the rat.

Authors:  I Sugihara; H Wu; Y Shinoda
Journal:  J Comp Neurol       Date:  1999-11-15       Impact factor: 3.215

9.  Digital morphometry of rat cerebellar climbing fibers reveals distinct branch and bouton types.

Authors:  Kerry M Brown; Izumi Sugihara; Yoshikazu Shinoda; Giorgio A Ascoli
Journal:  J Neurosci       Date:  2012-10-17       Impact factor: 6.167

10.  Quantitative morphometry of electrophysiologically identified CA3b interneurons reveals robust local geometry and distinct cell classes.

Authors:  Giorgio A Ascoli; Kerry M Brown; Eduardo Calixto; J Patrick Card; E J Galván; T Perez-Rosello; Germán Barrionuevo
Journal:  J Comp Neurol       Date:  2009-08-20       Impact factor: 3.215

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