Home » Publication » 27307

Dettaglio pubblicazione

2023, 10th International BCI meeting - Abstract book, Pages -

Re-Configuration of Resting state brain networks after BCI training in stroke patients (04d Abstract in atti di convegno)

Ranieri A., Pichiorri F., Toppi J., Colamarino E., Mongiardini E., Cincotti F., Mattia D.

Motor imagery (MI) practice within a BCI-assisted rehabilitative intervention proved to influence brain plasticity phenomena underlying post-stroke motor recovery as outlined by resting state (RS) brain networks analysis based on graph theory (GT) approach. We investigated RS networks in a subgroup of stroke patients recruited within a longitudinal randomized controlled trial evaluating the efficacy of a MI-based BCI on upper limb (UL) motor rehabilitation describing brain re-organization at the single subject level.
© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma