Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement

• Main Authors: Marco Caimmi, Elisa Visani, Fabio Digiacomo, Alessandro Scano, Andrea Chiavenna, Cristina Gramigna, Lorenzo Molinari Tosatti, Silvana Franceschetti, Franco Molteni, Ferruccio Panzica
• Format: Article
• Language: English
• Published: Hindawi Limited 2016-01-01
• Series: BioMed Research International
• Online Access: http://dx.doi.org/10.1155/2016/7051340
• ISSN: 2314-6133; 2314-6141

Although rehabilitation robotics seems to be a promising therapy in the rehabilitation of the upper limb in stroke patients, consensus is still lacking on its additive effects. Therefore, there is a need for determining the possible success of robotic interventions on selected patients, which in turn determine the necessity for new investigating instruments supporting the treatment decision-making process and customization. The objective of the work presented in this preliminary study was to verify that fully robot assistance would not affect the physiological oscillatory cortical activity related to a functional movement in healthy subjects. Further, the clinical results following the robotic treatment of a chronic stroke patient, who positively reacted to the robotic intervention, were analyzed and discussed. First results show that there is no difference in EEG activation pattern between assisted and no-assisted movement in healthy subjects. Even more importantly, the patient’s pretreatment EEG activation pattern in no-assisted movement was completely altered, while it recovered to a quasi-physiological one in robot-assisted movement. The functional improvement following treatment was large. Using pretreatment EEG recording during robot-assisted movement might be a valid approach to assess the potential ability of the patient for recovering.