Effects of Robot-Assisted Upper Extremity Training on Cognitive and Physical Functions After Stroke

Stroke is a main cause of disability worldwide. It is characterized by motor and cognitive impairments leading to activity limitations and participation restrictions. Despite improvement in mortality and morbidity following stroke, stroke survivors need access to effective rehabilitation services. Management approach for stroke survivors is classical physical and rehabilitation medicine (PRM) interventions. Nowadays, with the advancement of technology, robotic rehabilitation systems have taken its place among the classical physical and rehabilitation medicine applications. Robotic systems for upper and lower extremity help to improve neuroplasticity by repetitive task-specific activities. Upper extremity robotic systems can be either exoskeleton or end-effector according to their mechanical designs. Exoskeleton robotic systems attach to both proximal and distal segments of the upper extremity (shoulder, elbow, forearm, wrist, fingers) and provide antigravity weight support allowing actuated axes of movements of the upper extremity joints. The system allows the reinforcement and facilitation of movements by means of visual feedback with a 3-dimensional virtual environment in which the patient is asked to perform various tasks by playing computer games. It is reported that robotic therapy can be used complementary to other rehabilitation methods. The neurophysiological effects of robotic therapy were shown to act in the brain, particularly on the primary motor cortex, putamen and capsula interna. The effect on motor recovery was associated with common, synchronous activity involving the corticospinal system. It has been reported by a recent Cochrane review that robot-assisted arm training improves arm function, arm muscle strength and activities of daily living in stroke survivors. A few studies have also reported positive effects on cognitive abilities. However, there are no controlled studies in the literature investigating the effects of robot-assisted upper limb t