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John Colby edited this page Dec 15, 2011 · 24 revisions

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News

  • 12/15/2011 – An accompanying manuscript has been published in the journal NeuroImage. You can find it at: DOI:10.1016/j.neuroimage.2011.11.004
  • 12/15/2011 – All of the changes made during the course of peer-review have been merged back into the main download branch. Expect some updates to the wiki in the near future to reflect the modifications and new features.

Tour – An overview of the background/rationale for performing an along-tract analysis, and a quick tour of the types of things you can do with these tools.

Interactive demo – Explore a real tract group to get a feel for this type of analysis.

Back to README and download page.

Fundamentals

Here are some documentation pages, in roughly the order that you might want to work through them.

  1. Getting started
  2. Basic workflow
  3. Linking it all together

Experiment wrappers

Examples of ways the modular along-tract-stats tools can be linked together for real experiments, and how the outputs may be statistically analyzed and visualized in R and TrackVis. These higher level scripts will likely need to be customized to fit your needs, but they should at least be a good starting point to get familiar with these tools by practicing on the example data.

  1. trk_compile_data.m: Compile along-tract data from multiple subjects/tracts/hemispheres for input to statistical modeling.
  2. single_sub.R: Single-subject along-tract atlas.
  3. between_grp.R: Between-group along-tract analysis.
  4. trk_stats_overlay.m: Overlay statistical results onto the mean tract geometry of a representative subject.

Misc. examples and notes

  1. Correspondence
  2. Orientation
  3. Adding a central correspondence point
  4. Trackvis visualization settings
  5. MATLAB plotting options
  6. Alternative correspondence schemes