https://github.com/cyclotronresearchcentre/netstats

This repo contains R code to plot the outputs of the nipype connectivity pipelines

https://github.com/cyclotronresearchcentre/netstats

Science Score: 13.0%

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  • CITATION.cff file
  • codemeta.json file
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    Found 1 DOI reference(s) in README
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    Low similarity (4.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

This repo contains R code to plot the outputs of the nipype connectivity pipelines

Basic Info
  • Host: GitHub
  • Owner: CyclotronResearchCentre
  • Language: R
  • Default Branch: master
  • Size: 1.41 MB
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created about 14 years ago · Last pushed about 12 years ago
Metadata Files
Readme

README.md

network-statplots

This repository contains some simple R and ggplot2 (http://ggplot2.org/) functions to plot the outputs of the Nipype connectivity pipelines (e.g. http://nipy.sourceforge.net/nipype/users/examples/dmriconnectivityadvanced.html).

These functions were written for the following paper (please cite it and ggplot2 if you use or modify them):

Ziegler E, Foret A, Mascetti L, Muto V, Le Bourdiec-Shaffii A, et al. (2013) Altered White Matter Architecture in BDNF Met Carriers. PLoS ONE 8(7): e69290. doi: 10.1371/journal.pone.0069290

Available at http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0069290

Some examples

Number of fibers per connectome by subject and group

https://www.dropbox.com/s/cbfd3ruc7xbvt4z/Screenshot%202014-04-29%2014.34.59.png

Number of fibers per group

https://www.dropbox.com/s/3z1uwo4isdlrw4g/Screenshot%202014-04-29%2014.36.44.png

Histograms by metrics per group (with t-testing)

https://www.dropbox.com/s/afq6iebqziolh4t/Screenshot%202014-04-29%2014.45.06.png https://www.dropbox.com/s/9joxojl93rwidco/Screenshot%202014-04-29%2014.45.59.png https://www.dropbox.com/s/xqhfop12zdp3q6k/Screenshot%202014-04-29%2014.46.51.png

Owner

  • Name: Cyclotron Research Centre
  • Login: CyclotronResearchCentre
  • Kind: organization
  • Email: c.phillips@uliege.be
  • Location: University of Liège, Belgium

In vivo imaging with positron emission tomography and magnetic resonance imaging as well as electrophysiology

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