Modulation of beta power in EEG during discrete and continuous motor imageries

Sébastien Rimbert (1) , Cecilia Lindig-León (1) , Mariia Fedotenkova (1, 2) , Laurent Bougrain (1)

1 NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
2 UL - Université de Lorraine

In most Brain-Computer Interfaces (BCI) experimental paradigms based on Motor Imageries (MI), subjects perform continuous motor imagery (CMI), i.e. a repetitive and prolonged intention of movement, for a few seconds. To improve efficiency such as detecting faster a motor imagery, the purpose of this study is to show the difference between a discrete motor imagery (DMI), i.e. a single short MI, and a CMI. The results of experiment involving 13 healthy subjects suggest that a DMI generates a robust post-MI event-related synchronization (ERS). Moreover event-related desynchronization (ERD) produced by DMI seems less variable in certain cases compared to a CMI.

Mots clés: EEG; ERD; ERS; Motor Imagery; Discrete Motor Imagery; Continuous Motor Imagery

Domaines: Imagerie médicale; Informatique; Neurosciences

Sébastien Rimbert, Cecilia Lindig-León, Mariia Fedotenkova, Laurent Bougrain. Modulation of beta power in EEG during discrete and continuous motor imageries. 8th International IEEE EMBS Conference On Neural Engineering, May 2017, Shanghai, China. ⟨hal-01484503⟩