OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis

Koush, Yury; Ashburner, John; Prilepin, Evgeny; Sladky, Ronald; Zeidman, Peter; Bibikov, Sergei; Scharnowski, Frank; Nikonorov, Artem; Van De Ville, Dimitri

doi:10.1016/j.neuroimage.2017.06.039

Scientific article

English

OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis

ContributorsKoush, Yury; Ashburner, John; Prilepin, Evgeny; Sladky, Ronald; Zeidman, Peter; Bibikov, Sergei; Scharnowski, Frank; Nikonorov, Artem; Van De Ville, Dimitri

Published inNeuroImage, vol. 156, p. 489-503

Publication date2017

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale

Research groups

Traitement d'images médicales (893)

Citation (ISO format)

KOUSH, Yury et al. OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. In: NeuroImage, 2017, vol. 156, p. 489–503. doi: 10.1016/j.neuroimage.2017.06.039