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.
Re-Configuration of Resting state brain networks after BCI training in stroke patients / Ranieri, A.; Pichiorri, F.; Toppi, J.; Colamarino, E.; Mongiardini, E.; Cincotti, F.; Mattia, D.. - (2023). (Intervento presentato al convegno 10th International BCI meeting tenutosi a Bruxelles, Belgium).
Re-Configuration of Resting state brain networks after BCI training in stroke patients
A. Ranieri;F. Pichiorri;J. Toppi;E. Colamarino;E. Mongiardini;F. Cincotti;D. Mattia
2023
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
