Real-Time-Speech-Brain-Entrainment-Neurofeedback-Toolbox

EEG brain-computer interface system for providing real-time speech entrainment neurofeedback
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Mise à jour 14 avr. 2021

Neurofeedback represents a particular type of biofeedback whose aim is to teach self-control of brain function by measuring brain activity and presenting a feedback signal in real-time. Traditionally, neurofeedback has been used to complement treatments for various neuropsychological disorders through techniques like frequency training that attempt to change the power ratio of certain EEG frequency bands. However, to date, there are no neurofeedback approaches that look directly into modulating the neural entrainment to speech. Speech-brain entrainment, which stands for the alignment of the neural activity to the envelope of the speech input, has been shown to be key to speech comprehension. Atypical neural entrainment to speech seems to be consistently found in dyslexia and other developmental disorders. Thus, making speech entrainment neurofeedback a promising technique to obtain behavioral improvements. In this work, we present the first open-source brain-computer interface system that can be reliably used to provide speech entrainment neurofeedback while still being flexible enough to deliver more traditional coherence-based neurofeedback. In addition, it has the potential of being an open-source alternative to deliver other types of neurofeedback if configured to do so.

Dependency References:
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011). FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data. Computational Intelligence and Neuroscience, 2011, 1–9. https://doi.org/10.1155/2011/156869
Rydesäter. P. (2019). TCP/UDP/IP Toolbox 2.0.6 (https://www.mathworks.com/matlabcentral/fileexchange/345-tcp-udp-ip-toolbox-2-0-6), MATLAB Central File Exchange. Retrieved November 2019.
Brainard, D. H. (1997) The Psychophysics Toolbox, Spatial Vision 10:433-436.
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Citation pour cette source

Francisco Carrera Arias, Nicola Molinaro, Mikel Lizarazu (2020). Real-Time-Speech-Brain-Entrainment-Neurofeedback-Toolbox (https://github.com/Frank5547/Real-Time-Speech-Brain-Entrainment-Neurofeedback-Toolbox), GitHub. Retrieved July 14, 2020.

Compatibilité avec les versions de MATLAB
Créé avec R2019a
Compatible avec les versions R2019a et ultérieures
Plateformes compatibles
Windows macOS Linux

Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées

Version Publié le Notes de version
1.0.3

Added Additional Author

1.0.2

Updated Description

1.0.1

Fixed Repository Image

1.0.0

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Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.