Real-time fMRI data for testing OpenNFT functionality.
Ontology highlight
ABSTRACT:
SUBMITTER: Koush Y
PROVIDER: S-EPMC5547236 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature
Publications
Real-time fMRI data for testing OpenNFT functionality.
Koush Yury Y Ashburner John J Prilepin Evgeny E Sladky Ronald R Zeidman Peter P Bibikov Sergei S Scharnowski Frank F Nikonorov Artem A Van De Ville Dimitri D
Data in brief 20170726
Here, we briefly describe the real-time fMRI data that is provided for testing the functionality of the open-source Python/Matlab framework for neurofeedback, termed Open NeuroFeedback Training (<i>OpenNFT</i>, Koush et al. [1]). The data set contains real-time fMRI runs from three anonymized participants (i.e., one neurofeedback run per participant), their structural scans and pre-selected ROIs/masks/weights. The data allows for simulating the neurofeedback experiment without an MR scanner, exp ...[more]
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