Design of an Experimental Platform for Hybrid EEG-fMRI Neurofeedback Studies

Marsel Mano (1, 2) , Elise Bannier (3, 2) , Lorraine Perronnet (1) , Anatole Lécuyer (1) , Christian Barillot (2)

1 Hybrid - 3D interaction with virtual environments using body and mind
2 VisAGeS - Vision, Action et Gestion d'informations en Santé
3 Département de Radiologie [CHU de Rennes]

Neurofeedback (NF) can be defined as the self-regulated change of a particular brain activity that is reflected in the change of a neural signal or a combination of neural signals such as EEG, fMRI, MEG, etc. There exist a variety of unimodal (i.e. EEG or fMRI) NF researches, but very few with multimodal NF applications. This is primarily because of the associated technical burdens. The purpose of this abstract is to give a technical description of the hybrid EEG-fMRI system that we have developed for our NF experiments as part of the project Hemisfer, including the hardware/software components and their roles.

Domaines: Neurosciences; Informatique

Marsel Mano, Elise Bannier, Lorraine Perronnet, Anatole Lécuyer, Christian Barillot. Design of an Experimental Platform for Hybrid EEG-fMRI Neurofeedback Studies. 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), Jun 2016, Genève, Switzerland. . ⟨hal-01426072⟩