Hybrid EEG and fMRI platform for multi-modal neurofeedback
Résumé
Neurofeedback (NFB) relies on neurosignals for the estimation of brain activity. There exist a wide
variety of NFB applications that use one type of neurosignals like fMRI or electroencephalography
(EEG). Recently, the combination of two or more neurosignals has been receiving a lot of attention
in the research community, but still very few multi-modal NFB applications exist. This is primarily
because of the lack of commercial multi-modal NFB systems and the associated technical
difficulties in building them.
Here we are going to describe a bi-modal EEG and fMRI NFB platform that we have build in our
lab. Our platform is designed to maximize modularity and parallel processing in order to be able
to provide real-time NFB with high level of synchronization and minimal delays. We have
successfully used our platform to conduct over 100 uni-modal and bi-modal NFB experiments
with more than 30 healthy subjects.
Fichier principal
Poster Hemisfer ISMRM 4550.2017.pdf (118.97 Ko)
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ISMRM_poster 4550.pdf (127.34 Ko)
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Origine | Fichiers produits par l'(les) auteur(s) |
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Format | Poster |
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Origine | Fichiers produits par l'(les) auteur(s) |
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