EEG-fMRI neurofeedback of a motor imagery task

Lorraine Perronnet 1 Anatole Lécuyer 1 Marsel Mano 2, 1 Elise Bannier 2, 3 Fabien Lotte 4, 5 Maureen Clerc 6, 7 Christian Barillot 2
1 Hybrid - 3D interaction with virtual environments using body and mind
Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
2 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
5 Potioc - Popular interaction with 3d content
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
6 ATHENA - Computational Imaging of the Central Nervous System
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : EEG-fMRI-neurofeedback(NF) has been introduced for the first time by Zotev et al [1]. The authors hypothesized that bimodal EEG-fMRI-NF could be more efficient than unimodal EEG-NF or fMRI-NF performed alone. A recent study identified the fMRI signature of motor imagery during EEG-NF [3]. However to our knowledge EEG-fMRI-NF, EEG-NF and fMRI-NF have never been compared before. In the present work, we propose an EEG-fMRI-NF protocol of a motor imagery (MI) task and compare the cross-modal effects of EEG-NF, fMRI-NF and EEG-fMRI-NF. We hypothesized that: • EEG activations : EEG-NF ≥ EEG-fMRI-NF > fMRI-NF • fMRI activations : fMRI-NF ≥ EEG-fMRI-NF > EEG-NF As compared to [1] in which EEG and fMRI were represented with two separate gauges, our feedback metaphor integrates both EEG and fMRI signal in a single bi-dimensional feedback (a ball moving in 2D) in order for the subject to more easily perceive the NF training as one regulation task instead of two.
Type de document :
Poster
Organization for Human Brain Mapping, Jun 2016, Genève, Switzerland
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https://hal.inria.fr/hal-01426182
Contributeur : Lorraine Perronnet <>
Soumis le : mercredi 4 janvier 2017 - 12:05:04
Dernière modification le : mercredi 11 avril 2018 - 01:57:22
Document(s) archivé(s) le : mercredi 5 avril 2017 - 13:48:17

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OHBM_poster_4133_lp.pdf
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  • HAL Id : hal-01426182, version 1

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Lorraine Perronnet, Anatole Lécuyer, Marsel Mano, Elise Bannier, Fabien Lotte, et al.. EEG-fMRI neurofeedback of a motor imagery task. Organization for Human Brain Mapping, Jun 2016, Genève, Switzerland. 〈hal-01426182〉

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