Skip to main content

Application for ROI fMRI data analysis.

Project description

fRAT - fMRI ROI Analysis Tool

status PRs Welcome GitHub license Github release (latest by date) Github issues Documentation

fRAT is an open-source python-based GUI application used to simplify the processing and analysis of fMRI data by converting voxelwise maps into ROI-wise maps. An installation of FSL is required in order to use fRAT.

fRAT is written using Python for MacOS, Linux and WSL2.

Documentation:

Home page

Installation instructions

ROI analysis tutorial

Citation

When using fRAT, please include the following citation:

Howley, E., Francis, S., & Schluppeck, D. (2023). fRAT: an interactive, Python-based tool for region-of-interest summaries of functional imaging data. Journal of Open Source Software, 8(85), 5200. https://doi.org/10.21105/joss.05200

Reporting bugs

To report a bug or suggest a new feature, please go to fRAT's Issues.

For other questions, issues or discussion please go to fRAT's Discussions.

Contributing to the project

If you'd like to contribute to the project please read our contributing guidelines. Please also read through our code of conduct.

Versioning

We use Semantic versioning for versioning. For the versions available, see the tag list for this project.

Licensing

This project uses the Apache 2.0 license. For the text version of the license see here. Prior to version 1.0.0, this project used an MIT license.

Images

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

frat_brain-1.6.4.tar.gz (214.7 kB view hashes)

Uploaded Source

Built Distribution

frat_brain-1.6.4-py3-none-any.whl (148.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page