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EEG-fMRI neurofeedback of a motor imagery task

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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.
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Dates and versions

hal-01426182 , version 1 (04-01-2017)

Identifiers

  • HAL Id : hal-01426182 , version 1

Cite

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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