/rtfmri-methods-dash

A Dash site to let you explore and interact with data summarised from real-time fMRI neurofeedback studies.

Primary LanguagePythonMIT LicenseMIT

rtfMRI Methods (a Dash application)

This site is an effort to make scientific data (in this case, methods implemented in real-time fMRI neurofeedback studies) more standardised, accessible, interactive, useful and open.

It is currently an online companion to the research, "Quality and denoising in real-time fMRI neurofeedback: a methods review", done by myself (Stephan Heunis) and co-authors. In future this framework will expand to cover not only denoising methods but also all other standard study parameters (e.g. clinical population, sample size, neurofeedback substrate, etc) and outcome measures (BOLD response increase, symptomatic changes, self-reports, etc.) The goal is also to include browsing, visualization and reporting functionalities for other modalities used in neurofeedback, such as fNIRS, EEG, and MEG.

You might find these links useful:

For questions or if you want to contribute, please feel free to contact me at j(dot)s(dot)heunis(at)tue(dot)nl. You are also welcome to open an issue or send a pull request on this GitHub repository.