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Real-time fMRI data for testing OpenNFT functionality

Koush, Yury; Ashburner, John; Prilepin, Evgeny; Sladky, Ronald; Zeidman, Peter; Bibikov, Sergei; Scharnowski, Frank; Nikonorov, Artem; Van De Ville, Dimitri (2017). Real-time fMRI data for testing OpenNFT functionality. Data in Brief, 14:344-347.

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Psychiatric University Hospital Zurich > Clinic for Psychiatry, Psychotherapy, and Psychosomatics
04 Faculty of Medicine > Neuroscience Center Zurich
04 Faculty of Medicine > Zurich Center for Integrative Human Physiology (ZIHP)
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Health Sciences > Multidisciplinary
Uncontrolled Keywords:Activity, Connectivity, Multivariate pattern analysis, Neurofeedback, OpenNFT, Real-time fMRI
Language:English
Date:October 2017
Deposited On:25 Sep 2017 15:46
Last Modified:17 May 2025 03:39
Publisher:Elsevier
ISSN:2352-3409
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1016/j.dib.2017.07.049
PubMed ID:28795112
Project Information:
  • Funder: SNSF
  • Grant ID: P300PB_161083
  • Project Title: Real-time functional MRS of lactate-based neurofeedback: controlling metabolic activity
  • Funder: SNSF
  • Grant ID: 32003B_166566
  • Project Title: Enhancing functional connectivity in prefrontal networks to test and improve self-control mechanisms in decision-making
  • Funder: SNSF
  • Grant ID: BSSGI0_155915
  • Project Title: Treatment of Human Brain Dysfunction with Neurofeedback.
  • Funder: SNSF
  • Grant ID: PZ00P3_131932
  • Project Title: Modulating Human Brain Function and Dysfunction with Neurofeedback
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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