Literature DB >> 17426353

Voronoi analysis uncovers relationship between mosaics of normally placed and displaced amacrine cells in the thraira retina.

Luciano Da Fontoura Costa1, Daniela Maria Oliveira Bonci, Cézar Akiyoshi Saito, Fernando Allan De Farias Rocha, Luiz Carlos De Lima Silveira, Dora Fix Ventura.   

Abstract

Although neuronal dynamics is to a high extent a function of synapse strength, the spatial distribution of neurons is also known to play an important role, which is evidenced by the topographical organization of the main stations of the visual system: retina, lateral geniculate nucleus, and cortex. The coexisting systems of normally placed and displaced amacrine cells in the vertebrate retina provide interesting examples of retinotopic spatial organization. However, it is not clear whether these two systems are spatially interrelated or not. The current work applies two mathematical-computational methods-a new method involving Voronoi diagrams for local density quantification and a more traditional approach, the Ripley K function-in order to characterize the mosaics of normally placed and displaced amacrine cells in the retina of Hoplias malabaricus and search for possible spatial relationships between these two types of mosaics. The results obtained by the Voronoi local density analysis suggest that the two systems of amacrine cells are spatially interrelated through nearly constant local density ratios.

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Year:  2007        PMID: 17426353     DOI: 10.1385/ni:5:1:59

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  35 in total

1.  The mosaic of horizontal cells in the macaque monkey retina: with a comment on biplexiform ganglion cells.

Authors:  H Wässle; D M Dacey; T Haun; S Haverkamp; U Grünert; B B Boycott
Journal:  Vis Neurosci       Date:  2000 Jul-Aug       Impact factor: 3.241

2.  Physiological response properties of displaced amacrine cells of the adult ferret retina.

Authors:  Sally W Aboelela; David W Robinson
Journal:  Vis Neurosci       Date:  2004 Mar-Apr       Impact factor: 3.241

3.  Displaced amacrine cells disappear from the ganglion cell layer in the central retina of adult fish during growth.

Authors:  Andreas F Mack; Christl Süssmann; Bernhard Hirt; Hans-Joachim Wagner
Journal:  Invest Ophthalmol Vis Sci       Date:  2004-10       Impact factor: 4.799

Review 4.  Retinal stem cells and regeneration.

Authors:  Ala Moshiri; Jennie Close; Thomas A Reh
Journal:  Int J Dev Biol       Date:  2004       Impact factor: 2.203

5.  Patterns of glutamate immunoreactivity in the goldfish retina.

Authors:  R E Marc; W L Liu; M Kalloniatis; S F Raiguel; E van Haesendonck
Journal:  J Neurosci       Date:  1990-12       Impact factor: 6.167

6.  Displaced small amacrine cells in the retina of the marine teleost Callionymus lyra L.

Authors:  E van Haesendonck; L Missotten
Journal:  Vision Res       Date:  1987       Impact factor: 1.886

7.  Displaced amacrine cells in the retina of a rabbit: analysis of a bivariate spatial point pattern.

Authors:  P J Diggle
Journal:  J Neurosci Methods       Date:  1986-10       Impact factor: 2.390

8.  Amacrine cells in the ganglion cell layer of the cat retina.

Authors:  H Wässle; M H Chun; F Müller
Journal:  J Comp Neurol       Date:  1987-11-15       Impact factor: 3.215

9.  Distribution of parvalbumin immunoreactivity in the vertebrate retina.

Authors:  P P Sanna; K T Keyser; M R Celio; H J Karten; F E Bloom
Journal:  Brain Res       Date:  1993-01-08       Impact factor: 3.252

10.  AII amacrine cell population in the rabbit retina: identification by parvalbumin immunoreactivity.

Authors:  G Casini; D W Rickman; N C Brecha
Journal:  J Comp Neurol       Date:  1995-05-22       Impact factor: 3.215

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  6 in total

1.  Influence of sampling window size and orientation on parafoveal cone packing density.

Authors:  Marco Lombardo; Sebastiano Serrao; Pietro Ducoli; Giuseppe Lombardo
Journal:  Biomed Opt Express       Date:  2013-07-12       Impact factor: 3.732

2.  Spatial Point Pattern Analysis of Neurons Using Ripley's K-Function in 3D.

Authors:  Mehrdad Jafari-Mamaghani; Mikael Andersson; Patrik Krieger
Journal:  Front Neuroinform       Date:  2010-05-21       Impact factor: 4.081

3.  RipleyGUI: software for analyzing spatial patterns in 3D cell distributions.

Authors:  Kristin Hansson; Mehrdad Jafari-Mamaghani; Patrik Krieger
Journal:  Front Neuroinform       Date:  2013-04-09       Impact factor: 4.081

4.  Intersubject variability of foveal cone photoreceptor density in relation to eye length.

Authors:  Kaccie Y Li; Pavan Tiruveedhula; Austin Roorda
Journal:  Invest Ophthalmol Vis Sci       Date:  2010-08-04       Impact factor: 4.925

5.  Investigation of Adaptive Optics Imaging Biomarkers for Detecting Pathological Changes of the Cone Mosaic in Patients with Type 1 Diabetes Mellitus.

Authors:  Marco Lombardo; Mariacristina Parravano; Sebastiano Serrao; Lucia Ziccardi; Daniela Giannini; Giuseppe Lombardo
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

6.  Technical factors influencing cone packing density estimates in adaptive optics flood illuminated retinal images.

Authors:  Marco Lombardo; Sebastiano Serrao; Giuseppe Lombardo
Journal:  PLoS One       Date:  2014-09-09       Impact factor: 3.240

  6 in total

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