An open-source Python/Matlab framework for real-time fMRI neurofeedback training

OpenNFT is a GUI-based multi-processing open-source software package for real-time fMRI neurofeedback training and quality assessment. This package is based on best practices of the platform-independent interpreted programming languages Python and Matlab to facilitate concurrent functionality, high modularity, and the ability to extend the software in Python or Matlab depending on end-user preferences. OpenNFT includes, but is not limited to, the functionality of SPM, PsychoPy and Psychtoolbox software suits. The OpenNFT’s GUI, synchronization module and multi-processing core are implemented in Python, whilst computational modules for real-time data processing and neurofeedback are implemented in Matlab.

Refer to GitHub, and to manuscripts (Koush et al., 2017, Neuroimage) and (Koush et al., 2017, Data in Brief) for further descriptions.

Project leader

Yury Koush

Core software team

Evgeny Prilepin
Artem Nikonorov
Tibor Auer
Nikita Davydov
Yury Koush

Collaborators

Lucas Peek
Dimitri Van De Ville
Ronald Sladky
Frank Scharnowski
John Ashburner
Peter Zeidman
Sergei Bibikov

Support

The development of this open-source software was and is supported by funding sources directly and indirectly:

Samara University (SU)
Swiss National Science Foundation (SNSF)
École Polytechnique Fédérale de Lausanne (EPFL)
Aligned Research Group
Wyss Center Geneva
University of Geneva
University College London (UCL)
University of Zurich