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Real-time fMRI data for testing OpenNFT functionality

Koush, Y; Ashburner, J; Prilepin, E; Sladky, R; Zeidman, P; Bibikov, S; Scharnowski, F; ... Van De Ville, D; + view all (2017) Real-time fMRI data for testing OpenNFT functionality. Data in Brief , 14 pp. 344-347. 10.1016/j.dib.2017.07.049. Green open access

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Abstract

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 (OpenNFT, 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, exploring the software functionality, and measuring data processing times on the local hardware. In accordance with the descriptions in our main article, we provide data of (1) periodically displayed (intermittent) activation-based feedback; (2) intermittent effective connectivity feedback, based on dynamic causal modeling (DCM) estimations; and (3) continuous classification-based feedback based on support-vector-machine (SVM) estimations. The data is available on our public GitHub repository: https://github.com/OpenNFT/OpenNFT_Demo/releases.

Type: Article
Title: Real-time fMRI data for testing OpenNFT functionality
Location: Netherlands
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.dib.2017.07.049
Publisher version: http://dx.doi.org/10.1016/j.dib.2017.07.049
Language: English
Additional information: /& 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords: Activity, Connectivity, Multivariate pattern analysis, Neurofeedback, OpenNFT, Real-time fMRI
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: http://discovery.ucl.ac.uk/id/eprint/1570260
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