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Dynamic Reports for tedana #16

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javiergcas opened this issue Nov 15, 2019 · 0 comments
Open

Dynamic Reports for tedana #16

javiergcas opened this issue Nov 15, 2019 · 0 comments

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@javiergcas
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javiergcas commented Nov 15, 2019

Dynamic Reports for tedana

  • Elizabeth Dupre, Montreal Neurological Institute
  • Katie Bottenhorn, NBCLab, Florida International University
  • Eneko Uruñuela, BCBL
  • Stefano Moia, NIMH
  • Javier Gonzalez-Castillo, NIMH

Brief description of what was accomplished with this project

The tedana package is part of the ME-ICA pipeline, performing TE-dependent analysis of multi-echo functional magnetic resonance imaging (fMRI) data. TE-dependent analysis (tedana) is a Python module for denoising multi-echo functional magnetic resonance imaging (fMRI) data.

Upon completion, tedana generates a complex set of outputs that need to be inspected in detail prior to moving forward with any analyses. This project tries to generate a set of dynamic reports that help users inspect their results.


Resources

https://github.com/ME-ICA/tedana


Report_Example

fig02

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