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fMRI Validation of fNIRS Measurements During a Naturalistic Task

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

Real-time fMRI data for testing OpenNFT functionality.

Yury Koush^1,2,3, John Ashburner⁴, Evgeny Prilepin⁵

¹Department of Radiology and Medical Imaging, Yale University, New Haven, USA.

|August 11, 2017

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This summary is machine-generated.

This study provides real-time fMRI data for the Open NeuroFeedback Training (OpenNFT) framework. The dataset enables testing neurofeedback simulations and software functionality without an MRI scanner.

Area of Science:

Neuroscience
Neuroimaging
Computational Neuroscience

Background:

Real-time functional magnetic resonance imaging (fMRI) is crucial for neurofeedback.
Open-source software facilitates reproducible neurofeedback research.
Testing neurofeedback protocols requires accessible, standardized data.

Purpose of the Study:

To provide a real-time fMRI dataset for testing the Open NeuroFeedback Training (OpenNFT) framework.
To enable simulation of various neurofeedback paradigms.
To facilitate evaluation of software performance and data processing times.

Main Methods:

The dataset includes real-time fMRI runs from three participants.
Structural scans, ROIs, masks, and weights are provided.

Keywords:

Activity Connectivity Multivariate pattern analysis Neurofeedback OpenNFT Real-time fMRI

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fMRI Validation of fNIRS Measurements During a Naturalistic Task

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A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

Real-Time fMRI Brain Mapping in Animals

Real-Time fMRI Brain Mapping in Animals

Published on: September 24, 2020

Data supports intermittent activation-based, DCM-based connectivity, and SVM-based classification feedback.

Main Results:

The dataset allows for offline simulation of neurofeedback experiments.
It facilitates exploration of OpenNFT software functionality.
Processing times can be measured on local hardware.

Conclusions:

The OpenNFT dataset supports the testing and development of open-source neurofeedback tools.
Accessible data promotes reproducible research in real-time fMRI neurofeedback.
This resource aids in understanding the performance of different feedback modalities.