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Abstract #4550

Hybrid EEG and fMRI platform for multi-modal neurofeedback

Marsel Mano1,2, Elise Bannier2,3, Lorraine Perronnet1,2, Anatole Lécuyer1, and Christian Barillot2,4,5,6

1Hybrid Team, Inria, Rennes, France, 2VisAGeS Project-Team, Inria, Rennes, France, 3Service de Radiologie, CHU Pontchaillou, Rennes, France, 4VisAGeS U746, Inserm, Rennes, France, 5UMR CNRS 6074, IRISA, Rennes, France, 6University of Rennes, Rennes, France

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.

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