Related Experiment Video
Updated: May 13, 2026

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment
Published on: May 10, 2024
Selective delayed gains following motor imagery of complex movements
Ursula Debarnot1, Eleonora Castellani, Aymeric Guillot
1Centre de Psychiatrie et Neurosciences, Université Paris Descartes, France.
Abstract:
Recent studies suggest that a night of sleep may play a similar functional role following motor imagery (MI) practice. Here we examined whether offline gains following MI of a finger tapping sequence depends on the degree of complexity of the motor sequence, and whether this improvement differentially affects the individual transitions of the motor-sequence pattern being learned. The data revealed greater delayed performance gains in motor skill procedures that were most difficult, with larger sleep-dependent overnight improvement for movements involving bimanual coordination. The analyses of single transitions between sequence elements further revealed greatest overnight improvement in speed for the slowest (i.e., most difficult) transitions at the re-test. These findings suggest that sleep-related performance gains for imagined movements depend on motor skill complexity, and that difficult transition movements are most effectively enhanced after a night of sleep.

