Literature DB >> 29896492

Calculation and plotting of retinal nerve fiber paths based on Jansonius et al. 2009/2012 with an R program.

M Bach1,2, M B Hoffmann3,4.   

Abstract

The data presented in this article are related to the research article entitled "Retinal conduction speed analysis reveals different origins of the P50 and N95 components of the (multifocal) pattern electroretinogram" (Bach et al., 2018) [1]. That analysis required the individual length data of the retinal nerve fibers (from ganglion cell body to optic nerve head, depending on the position of the ganglion cell body). Jansonius et al. (2009, 2012) [2,3] mathematically modeled the path morphology of the human retinal nerve fibers. We here present a working implementation with source code (for the free and open-source programming environment "R") of the Jansonius' formulas, including all errata. One file defines Jansonius et al.'s "phi" function. This function allows quantitative modelling of paths (and any measures derived from them) of the retinal nerve fibers. As a working demonstration, a second file contains a graph which plots samples of nerve fibers. The included R code runs in base R without the need of any additional packages.

Entities:  

Year:  2018        PMID: 29896492      PMCID: PMC5995751          DOI: 10.1016/j.dib.2018.02.065

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data The published function to model retinal nerve fibers initially contained errors and spreads over errata. The programming environment R [4] is open-source and available free at http://www.r-project.org, the present function works in a basic R installation without additional packages. This working phi function allows quantitative modelling of paths and any derivative measures of the retinal nerve fibers. We include a working demonstration with a plot of nerve fiber paths.

Data

The data consists of 2 plain text files “phiFunction-definition.R” and “phiFunction-demoPlot.R” which are ready to be executed in a plain R [4] environment. All data is expressed in the program code and appropriate constants.

Experimental design, materials and methods

With a standard installation of “R”, open and execute “phiFunction-definition.R”. Then execute “phiFunction-demoPlot.R”. A graph containing a set of fiber bundle traces is created, thus demonstrating the validity of the phi function and recreating the accompanying Fig. 1. The program was the basis to assess conduction times from retinal ganglion cell bodies to the optic nerve head [1].
Fig. 1

A schematic view of the retina, ±30° of eccentricity. From the optic nerve head (spared circular area on the right) the fibers depart, calculated based on Jansonius et al. [2], [3] as implemented in the R source code here.

A schematic view of the retina, ±30° of eccentricity. From the optic nerve head (spared circular area on the right) the fibers depart, calculated based on Jansonius et al. [2], [3] as implemented in the R source code here.
Subject areaneuroscience, ophthalmology, computational vision
More specific subject arearetinal morphology
Type of dataR source code and graph
How data was acquiredprior published functions were amended with errata implemented in R, and debugged
Data formatR source code as plain text file including all pertinent data constants
Experimental factorsnone
Experimental featuresallows quantitative modeling of retinal nerve fibers
Data source locationattached
Data accessibilitydata accompanies this article: 2 plain text files “phiFunction-definition.R” and “phiFunction-demoPlot.R”
  3 in total

1.  A mathematical model for describing the retinal nerve fiber bundle trajectories in the human eye: average course, variability, and influence of refraction, optic disc size and optic disc position.

Authors:  Nomdo M Jansonius; Julia Schiefer; Jukka Nevalainen; Jens Paetzold; Ulrich Schiefer
Journal:  Exp Eye Res       Date:  2012-10-23       Impact factor: 3.467

2.  Retinal conduction speed analysis reveals different origins of the P50 and N95 components of the (multifocal) pattern electroretinogram.

Authors:  Michael Bach; Anne-Kathrin Cuno; Michael B Hoffmann
Journal:  Exp Eye Res       Date:  2018-01-31       Impact factor: 3.467

3.  A mathematical description of nerve fiber bundle trajectories and their variability in the human retina.

Authors:  N M Jansonius; J Nevalainen; B Selig; L M Zangwill; P A Sample; W M Budde; J B Jonas; W A Lagrèze; P J Airaksinen; R Vonthein; L A Levin; J Paetzold; U Schiefer
Journal:  Vision Res       Date:  2009-06-16       Impact factor: 1.886

  3 in total

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