Monitoring Neuro-motor Recovery from XXXX with High-resolution EEG, Robotics and Virtual Reality: a Proof of Concept.

@entity1 @entity64
UNASSIGNED: A novel system for the neuro-motor rehabilitation of upper limbs was validated in three sub-acute post- @entity64 pa-tients. The system permits synchronized cortical and kinematic measures by integrating high-resolution EEG, passive robotic device and Virtual Reality. The brain functional re-organization was monitored in association with motor patterns replicating ac-tivities of daily living (ADL). @entity1 underwent 13 rehabilita-tion sessions. At sessions 1, 7 and 13, clinical tests were adminis-tered to assess the level of motor impairment, and EEG was rec-orded during rehabilitation task execution. For each session and rehabilitation task, four kinematic indices of motor performance were calculated and compared with the outcome of clinical tests. Functional source maps were obtained from EEG data and pro-jected on the real @entity1 ' anatomy (MRI data). Laterality indic-es were calculated for hemispheric dominance assessment. All @entity1 showed increased participation in the rehabilitation process. Cortical activation changes during recovery were de-tected in relation to different motor patterns, hence verifying the system's suitability to add quantitative measures of motor per-formance and neural recovery to classical tests. We conclude that this system seems a promising tool for novel robot-based rehabili-tation paradigms tailored to individual needs and neuro-motor responses of the @entity1 .
