Back to Search Start Over

Quantification of Upper Limb Motor Recovery and EEG Power Changes after Robot-Assisted Bilateral Arm Training in Chronic Stroke Patients: A Prospective Pilot Study

Authors :
Marta Bortolami
Silvia Francesca Storti
Andreas Waldner
Christian Geroin
Emanuela Formaggio
Leopold Saltuari
Ilaria Boscolo Galazzo
Nicola Smania
Alessandro Picelli
Paolo Manganotti
Marialuisa Gandolfi
Gandolfi, M.
Formaggio, E.
Geroin, C.
Storti, S. F.
Galazzo, I. B.
Bortolami, M.
Saltuari, L.
Picelli, A.
Waldner, A.
Manganotti, P.
Smania, N.
Source :
Neural Plasticity, Neural Plasticity, Vol 2018 (2018)
Publication Year :
2017

Abstract

Background. Bilateral arm training (BAT) has shown promise in expediting progress toward upper limb recovery in chronic stroke patients, but its neural correlates are poorly understood.Objective. To evaluate changes in upper limb function and EEG power after a robot-assisted BAT in chronic stroke patients.Methods. In a within-subject design, seven right-handed chronic stroke patients with upper limb paresis received 21 sessions (3 days/week) of the robot-assisted BAT. The outcomes were changes in score on the upper limb section of the Fugl-Meyer assessment (FM), Motricity Index (MI), and Modified Ashworth Scale (MAS) evaluated at the baseline (T0), posttraining (T1), and 1-month follow-up (T2). Event-related desynchronization/synchronization were calculated in the upper alpha and the beta frequency ranges.Results. Significant improvement in all outcomes was measured over the course of the study. Changes in FM were significant at T2, and in MAS at T1and T2. After training, desynchronization on the ipsilesional sensorimotor areas increased during passive and active movement, as compared with T0.Conclusions. A repetitive robotic-assisted BAT program may improve upper limb motor function and reduce spasticity in the chronically impaired paretic arm. Effects on spasticity were associated with EEG changes over the ipsilesional sensorimotor network.

Details

ISSN :
16875443
Volume :
2018
Database :
OpenAIRE
Journal :
Neural plasticity
Accession number :
edsair.doi.dedup.....2019fb3278808ebe5af8c0b65bebd39e