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This repository contains code and data for reproducing the figures in the manuscript: https://osf.io/xubhq
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README.md

Quality and denoising in real-time fMRI neurofeedback - a methods review

This repository contains code and data related to the manuscript: Quality and denoising in real-time fMRI neurofeedback - a methods review

Summary of the manuscript

The work investigated the state of denoising methods used in the field of fMRI neurofeedback. It specifically looked at the acquisition and processing tools that are available to researchers applying fMRI neurofeedback to help them improve the quality of the BOLD and neurofeedback signals. Furthermore, it investigated the reporting practices of a set of 128 recently published studies applying neurofeedback in both healthy and patient populations.

This repository contains:

  • The coded data (tab delimited text files) for methods used in 128 real-time fMRI neurofeedback studies
  • Matlab code for reproducing the figures (Fig 6 and Fig7 A-H) in the manuscript
  • A Jupyter notebook with which to interactively explore the data

Explore the data from your browser:

You don't have to install any software to explore the data. Just click on the following link and it will open the interactive Jupyter notebook as a webpage:

Binder

If you are a developer and would like to interact with the code as well, see this link:

Binder

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