A Sparse EEG-Informed fMRI Model for Hybrid EEG-fMRI Neurofeedback Prediction

A Sparse EEG-Informed fMRI Model for Hybrid EEG-fMRI Neurofeedback Prediction

Measures of brain activity through functional magnetic resonance imaging (fMRI) or electroencephalography (EEG), two complementary modalities, are ground solutions in the context of neurofeedback (NF) mechanisms for brain rehabilitation protocols. While NF-EEG (in which real-time neurofeedback score...

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Bibliographic Details
Main Authors: Claire Cury, Pierre Maurel, Rémi Gribonval, Christian Barillot
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Neuroscience
Subjects:
optimization
EEG
sparsity
machine learning
neurofeedback
EEG-fMRI
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.01451/full

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