For the MI task, we chose a simple everyday task (throwing a tennis ball), that does not require any particular motor expertise, set within the controlled virtual reality scenario of a tennis court. We hypothesize that significant variations in both of the time-frequency measurements underlie the specific changes in the ERP directly related to MI. In order to characterize the neural signature of a motor imagery (MI) task, the present study investigates for the first time the oscillation characteristics including both of the time-frequency measurements, event related spectral perturbation and intertrial coherence (ITC) underlying the variations in the temporal measurements (event related potentials, ERP) directly related to a MI task. 4Laboratory of Electrophysiology, Université de Mons-Hainaut, Mons, Belgium.3Haute École Condorcet, Charleroi, Belgium.2Department of Neurology, Hopital Universitaire des Enfants Reine Fabiola, Université Libre de Bruxelles, Brussels, Belgium.1Laboratory of Neurophysiology and Movement Biomechanics, ULB Neuroscience Institute, Université Libre de Bruxelles, Brussels, Belgium.Cebolla 1 * Mathieu Petieau 1 Carlos Cevallos 1 Axelle Leroy 1 Bernard Dan 2 Guy Cheron 1, 3, 4
